//////////////////////////////////////////////////////////////////////////////////////////////////// // SLP SOLVER STARTED // //////////////////////////////////////////////////////////////////////////////////////////////////// === OUTER ITERATION 0 STARTED ================================================================== trustRad = 1.000e-01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 6.015e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 1.193822e+02 -> 1.084943e+02 (delta= -1.089e+01) scaled-targetF: 4.390050e+01 -> 4.389050e+01 (delta= -1.000e-02) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 1.250e-01, trust radius increased === OUTER ITERATION 1 STARTED ================================================================== trustRad = 1.250e-01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 5.361e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 1.084943e+02 -> 9.431287e+01 (delta= -1.418e+01) scaled-targetF: 4.389050e+01 -> 4.387800e+01 (delta= -1.250e-02) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 1.563e-01, trust radius increased === OUTER ITERATION 2 STARTED ================================================================== trustRad = 1.563e-01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 8.347e-02 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 5.720596e+01 -> 5.153241e+01 (delta= -5.674e+00) scaled-targetF: 4.387800e+01 -> 4.386238e+01 (delta= -1.563e-02) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 1.953e-01, trust radius increased === OUTER ITERATION 3 STARTED ================================================================== trustRad = 1.953e-01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 5.994e-02 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 5.042448e+01 -> 4.643035e+01 (delta= -3.994e+00) scaled-targetF: 4.386238e+01 -> 4.384284e+01 (delta= -1.953e-02) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 2.441e-01, trust radius increased === OUTER ITERATION 4 STARTED ================================================================== trustRad = 2.441e-01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.277e-02 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.643035e+01 -> 4.381891e+01 (delta= -2.611e+00) scaled-targetF: 4.384284e+01 -> 4.381843e+01 (delta= -2.441e-02) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 3.052e-01, trust radius increased === OUTER ITERATION 5 STARTED ================================================================== trustRad = 3.052e-01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.767e-06 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.381891e+01 -> 4.378791e+01 (delta= -3.100e-02) scaled-targetF: 4.381843e+01 -> 4.378791e+01 (delta= -3.052e-02) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 3.815e-01, trust radius increased === OUTER ITERATION 6 STARTED ================================================================== trustRad = 3.815e-01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.064e-15 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.378791e+01 -> 4.374977e+01 (delta= -3.815e-02) scaled-targetF: 4.378791e+01 -> 4.374977e+01 (delta= -3.815e-02) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 4.768e-01, trust radius increased === OUTER ITERATION 7 STARTED ================================================================== trustRad = 4.768e-01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 4.890e-15 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.374977e+01 -> 4.370208e+01 (delta= -4.768e-02) scaled-targetF: 4.374977e+01 -> 4.370208e+01 (delta= -4.768e-02) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 5.960e-01, trust radius increased === OUTER ITERATION 8 STARTED ================================================================== trustRad = 5.960e-01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 1.192e-14 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.370208e+01 -> 4.364248e+01 (delta= -5.960e-02) scaled-targetF: 4.370208e+01 -> 4.364248e+01 (delta= -5.960e-02) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 7.451e-01, trust radius increased === OUTER ITERATION 9 STARTED ================================================================== trustRad = 7.451e-01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.947e-14 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.364248e+01 -> 4.356797e+01 (delta= -7.451e-02) scaled-targetF: 4.364248e+01 -> 4.356797e+01 (delta= -7.451e-02) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 9.313e-01, trust radius increased === OUTER ITERATION 10 STARTED ================================================================== trustRad = 9.313e-01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 7.267e-14 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.356797e+01 -> 4.347484e+01 (delta= -9.313e-02) scaled-targetF: 4.356797e+01 -> 4.347484e+01 (delta= -9.313e-02) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 1.164e+00, trust radius increased === OUTER ITERATION 11 STARTED ================================================================== trustRad = 1.164e+00 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 1.801e-13 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.347484e+01 -> 4.335842e+01 (delta= -1.164e-01) scaled-targetF: 4.347484e+01 -> 4.335842e+01 (delta= -1.164e-01) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 1.455e+00, trust radius increased === OUTER ITERATION 12 STARTED ================================================================== trustRad = 1.455e+00 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 4.477e-13 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.335842e+01 -> 4.321290e+01 (delta= -1.455e-01) scaled-targetF: 4.335842e+01 -> 4.321290e+01 (delta= -1.455e-01) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 1.819e+00, trust radius increased === OUTER ITERATION 13 STARTED ================================================================== trustRad = 1.819e+00 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 1.118e-12 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.321290e+01 -> 4.303101e+01 (delta= -1.819e-01) scaled-targetF: 4.321290e+01 -> 4.303101e+01 (delta= -1.819e-01) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 2.274e+00, trust radius increased === OUTER ITERATION 14 STARTED ================================================================== trustRad = 2.274e+00 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.809e-12 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.303101e+01 -> 4.280363e+01 (delta= -2.274e-01) scaled-targetF: 4.303101e+01 -> 4.280363e+01 (delta= -2.274e-01) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 2.842e+00, trust radius increased === OUTER ITERATION 15 STARTED ================================================================== trustRad = 2.842e+00 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 7.110e-12 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.280363e+01 -> 4.251941e+01 (delta= -2.842e-01) scaled-targetF: 4.280363e+01 -> 4.251941e+01 (delta= -2.842e-01) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 3.553e+00, trust radius increased === OUTER ITERATION 16 STARTED ================================================================== trustRad = 3.553e+00 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 1.817e-11 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.251941e+01 -> 4.216414e+01 (delta= -3.553e-01) scaled-targetF: 4.251941e+01 -> 4.216414e+01 (delta= -3.553e-01) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 4.441e+00, trust radius increased === OUTER ITERATION 17 STARTED ================================================================== trustRad = 4.441e+00 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 4.701e-11 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.216414e+01 -> 4.172005e+01 (delta= -4.441e-01) scaled-targetF: 4.216414e+01 -> 4.172005e+01 (delta= -4.441e-01) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 5.551e+00, trust radius increased === OUTER ITERATION 18 STARTED ================================================================== trustRad = 5.551e+00 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 1.236e-10 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.172005e+01 -> 4.116494e+01 (delta= -5.551e-01) scaled-targetF: 4.172005e+01 -> 4.116494e+01 (delta= -5.551e-01) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 6.939e+00, trust radius increased === OUTER ITERATION 19 STARTED ================================================================== trustRad = 6.939e+00 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 3.317e-10 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.116494e+01 -> 4.047105e+01 (delta= -6.939e-01) scaled-targetF: 4.116494e+01 -> 4.047105e+01 (delta= -6.939e-01) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 8.674e+00, trust radius increased === OUTER ITERATION 20 STARTED ================================================================== trustRad = 8.674e+00 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 9.152e-10 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.047105e+01 -> 3.960369e+01 (delta= -8.674e-01) scaled-targetF: 4.047105e+01 -> 3.960369e+01 (delta= -8.674e-01) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 1.084e+01, trust radius increased === OUTER ITERATION 21 STARTED ================================================================== trustRad = 1.084e+01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.621e-09 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 3.960369e+01 -> 3.851949e+01 (delta= -1.084e+00) scaled-targetF: 3.960369e+01 -> 3.851949e+01 (delta= -1.084e+00) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 1.355e+01, trust radius increased === OUTER ITERATION 22 STARTED ================================================================== trustRad = 1.355e+01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 7.906e-09 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 3.851949e+01 -> 3.716424e+01 (delta= -1.355e+00) scaled-targetF: 3.851949e+01 -> 3.716424e+01 (delta= -1.355e+00) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 1.694e+01, trust radius increased === OUTER ITERATION 23 STARTED ================================================================== trustRad = 1.694e+01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.570e-08 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 3.716424e+01 -> 3.547017e+01 (delta= -1.694e+00) scaled-targetF: 3.716424e+01 -> 3.547017e+01 (delta= -1.694e+00) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 2.118e+01, trust radius increased === OUTER ITERATION 24 STARTED ================================================================== trustRad = 2.118e+01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 9.357e-08 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 3.547017e+01 -> 3.335259e+01 (delta= -2.118e+00) scaled-targetF: 3.547017e+01 -> 3.335259e+01 (delta= -2.118e+00) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 2.647e+01, trust radius increased === OUTER ITERATION 25 STARTED ================================================================== trustRad = 2.647e+01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 4.086e-07 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 3.335259e+01 -> 3.070561e+01 (delta= -2.647e+00) scaled-targetF: 3.335259e+01 -> 3.070561e+01 (delta= -2.647e+00) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 3.309e+01, trust radius increased === OUTER ITERATION 26 STARTED ================================================================== trustRad = 3.309e+01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.438e-06 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 3.070561e+01 -> 2.739689e+01 (delta= -3.309e+00) scaled-targetF: 3.070561e+01 -> 2.739689e+01 (delta= -3.309e+00) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 4.136e+01, trust radius increased === OUTER ITERATION 27 STARTED ================================================================== trustRad = 4.136e+01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.574e-05 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 2.739689e+01 -> 2.326099e+01 (delta= -4.136e+00) scaled-targetF: 2.739689e+01 -> 2.326099e+01 (delta= -4.136e+00) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 5.170e+01, trust radius increased === OUTER ITERATION 28 STARTED ================================================================== trustRad = 5.170e+01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 8.751e-04 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 2.326099e+01 -> 1.809111e+01 (delta= -5.170e+00) scaled-targetF: 2.326099e+01 -> 1.809111e+01 (delta= -5.170e+00) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 6.462e+01, trust radius increased === OUTER ITERATION 29 STARTED ================================================================== trustRad = 6.462e+01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 1.602e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 0.020756 stp = 1.000000 meritF: 1.809111e+01 -> 1.802205e+01 (delta= -6.906e-02) scaled-targetF: 1.809111e+01 -> 1.802205e+01 (delta= -6.906e-02) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 0.021 (ratio of step length to trust radius) newTrustRad = 6.707e+00, trust radius decreased === OUTER ITERATION 30 STARTED ================================================================== trustRad = 6.707e+00 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 3.233e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > nonzero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 5.438419e+01 -> 4.472552e+01 (delta= -9.659e+00) scaled-targetF: 1.802205e+01 -> 1.735139e+01 (delta= -6.707e-01) > linear model produced long step, no need to start CG-like iterations --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 8.383e+00, trust radius increased === OUTER ITERATION 31 STARTED ================================================================== trustRad = 8.383e+00 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 0.000000 stp = 0.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 0.000e+00) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem suggested nondescent step, skipping it (dLag=5.447e-15) > LP subproblem suggested nearly zero step max(|Di|)/TrustRad = 0.000000 > stopping CG-like iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 9.955261e+01 (delta= 0.000e+00) > CG-like phase increased merit function, completely discarding phase (happens sometimes, but not too often) --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 0.000 (ratio of step length to trust radius) newTrustRad = 8.383e-01, trust radius decreased === OUTER ITERATION 32 STARTED ================================================================== trustRad = 8.383e-01 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 0.000000 stp = 0.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 0.000e+00) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 0.000000 stp = 1.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 0.000e+00) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 3.553e-15) aug.Lagrangian: 5.880881e+01 -> 5.880881e+01 (delta= 0.000e+00) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 9.955261e+01 (delta= 0.000e+00) > CG-like phase increased merit function, completely discarding phase (happens sometimes, but not too often) --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 0.000 (ratio of step length to trust radius) newTrustRad = 8.383e-02, trust radius decreased === OUTER ITERATION 33 STARTED ================================================================== trustRad = 8.383e-02 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 0.000000 stp = 0.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 0.000e+00) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem suggested nondescent step, skipping it (dLag=3.537e-15) > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 0.000000 stp = 1.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 0.000e+00) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) aug.Lagrangian: 3.139542e+01 -> 3.139542e+01 (delta= 0.000e+00) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 9.955261e+01 (delta= 0.000e+00) > CG-like phase increased merit function, completely discarding phase (happens sometimes, but not too often) --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 0.000 (ratio of step length to trust radius) newTrustRad = 8.383e-03, trust radius decreased === OUTER ITERATION 34 STARTED ================================================================== trustRad = 8.383e-03 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 0.000000 stp = 0.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 0.000e+00) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem suggested nondescent step, skipping it (dLag=8.176e-17) > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 0.000000 stp = 1.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 0.000e+00) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) aug.Lagrangian: 3.139542e+01 -> 3.139542e+01 (delta= 0.000e+00) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 9.955261e+01 (delta= 0.000e+00) > CG-like phase increased merit function, completely discarding phase (happens sometimes, but not too often) --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 0.000 (ratio of step length to trust radius) newTrustRad = 8.383e-04, trust radius decreased === OUTER ITERATION 35 STARTED ================================================================== trustRad = 8.383e-04 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 0.000000 stp = 0.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 0.000e+00) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 0.000000 stp = 1.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= -1.421e-14) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 3.553e-15) aug.Lagrangian: 5.880881e+01 -> 5.880881e+01 (delta= -7.105e-15) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 9.955261e+01 (delta= -1.421e-14) > CG-like phase decreased merit function, CG-like step accepted --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 0.000 (ratio of step length to trust radius) newTrustRad = 8.383e-05, trust radius decreased === OUTER ITERATION 36 STARTED ================================================================== trustRad = 8.383e-05 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 0.000000 stp = 0.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 0.000e+00) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem suggested nearly zero step max(|Di|)/TrustRad = 0.000000 > stopping CG-like iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 9.955261e+01 (delta= 0.000e+00) > CG-like phase increased merit function, completely discarding phase (happens sometimes, but not too often) --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 0.000 (ratio of step length to trust radius) newTrustRad = 8.383e-06, trust radius decreased === OUTER ITERATION 37 STARTED ================================================================== trustRad = 8.383e-06 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 0.000000 stp = 0.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 0.000e+00) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem suggested nearly zero step max(|Di|)/TrustRad = 0.000000 > stopping CG-like iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 9.955261e+01 (delta= 0.000e+00) > CG-like phase increased merit function, completely discarding phase (happens sometimes, but not too often) --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 0.000 (ratio of step length to trust radius) newTrustRad = 8.383e-07, trust radius decreased === OUTER ITERATION 38 STARTED ================================================================== trustRad = 8.383e-07 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 0.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 4.972e-11) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 3.181e-07) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= -8.383e-08) aug.Lagrangian: 3.139542e+01 -> 3.139542e+01 (delta= -1.334e-08) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 9.955261e+01 (delta= 3.181e-07) > CG-like phase increased merit function, completely discarding phase (happens sometimes, but not too often) --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 0.000 (ratio of step length to trust radius) newTrustRad = 8.383e-08, trust radius decreased === OUTER ITERATION 39 STARTED ================================================================== trustRad = 8.383e-08 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 0.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 4.974e-12) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 3.181e-08) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= -8.383e-09) aug.Lagrangian: 3.139542e+01 -> 3.139542e+01 (delta= -1.334e-09) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 9.955261e+01 (delta= 3.181e-08) > CG-like phase increased merit function, completely discarding phase (happens sometimes, but not too often) --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 0.000 (ratio of step length to trust radius) newTrustRad = 8.383e-09, trust radius decreased === OUTER ITERATION 40 STARTED ================================================================== trustRad = 8.383e-09 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 0.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 5.116e-13) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 3.180e-09) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= -8.383e-10) aug.Lagrangian: 3.139542e+01 -> 3.139542e+01 (delta= -1.334e-10) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 9.955261e+01 (delta= 3.181e-09) > CG-like phase increased merit function, completely discarding phase (happens sometimes, but not too often) --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 0.000 (ratio of step length to trust radius) newTrustRad = 8.383e-10, trust radius decreased === OUTER ITERATION 41 STARTED ================================================================== trustRad = 8.383e-10 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 0.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 2.842e-14) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 3.180e-10) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= -8.383e-11) aug.Lagrangian: 3.139542e+01 -> 3.139542e+01 (delta= -1.335e-11) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 9.955261e+01 (delta= -2.342e-07) > CG-like phase decreased merit function, CG-like step accepted --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 1.048e-09, trust radius increased === OUTER ITERATION 42 STARTED ================================================================== trustRad = 1.048e-09 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 0.000000 meritF: 9.955261e+01 -> 9.955261e+01 (delta= 4.263e-14) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 6.251e-11) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= -1.048e-10) aug.Lagrangian: 3.139542e+01 -> 3.139542e+01 (delta= -1.667e-11) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 9.955261e+01 (delta= -2.338e-07) > CG-like phase decreased merit function, CG-like step accepted --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 1.310e-09, trust radius increased === OUTER ITERATION 43 STARTED ================================================================== trustRad = 1.310e-09 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 0.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 7.105e-15) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 7.811e-11) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= -1.310e-10) aug.Lagrangian: 3.139542e+01 -> 3.139542e+01 (delta= -2.085e-11) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 4.472545e+01 (delta= -5.483e+01) > CG-like phase decreased merit function, CG-like step accepted --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 1.637e-09, trust radius increased === OUTER ITERATION 44 STARTED ================================================================== trustRad = 1.637e-09 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 0.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 2.842e-14) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 9.767e-11) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= -1.637e-10) aug.Lagrangian: 3.139542e+01 -> 3.139542e+01 (delta= -2.605e-11) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 4.472545e+01 (delta= -5.483e+01) > CG-like phase decreased merit function, CG-like step accepted --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 2.047e-09, trust radius increased === OUTER ITERATION 45 STARTED ================================================================== trustRad = 2.047e-09 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 0.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 1.421e-14) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 1.221e-10) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= -2.047e-10) aug.Lagrangian: 3.139542e+01 -> 3.139542e+01 (delta= -3.257e-11) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 4.472545e+01 (delta= -5.483e+01) > CG-like phase decreased merit function, CG-like step accepted --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 2.558e-09, trust radius increased === OUTER ITERATION 46 STARTED ================================================================== trustRad = 2.558e-09 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 0.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 2.132e-14) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 1.526e-10) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= -2.558e-10) aug.Lagrangian: 3.139542e+01 -> 3.139542e+01 (delta= -4.072e-11) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 4.472545e+01 (delta= -5.483e+01) > CG-like phase decreased merit function, CG-like step accepted --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 3.198e-09, trust radius increased === OUTER ITERATION 47 STARTED ================================================================== trustRad = 3.198e-09 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 0.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 2.842e-14) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 1.907e-10) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= -3.198e-10) aug.Lagrangian: 3.139542e+01 -> 3.139542e+01 (delta= -5.090e-11) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 9.955261e+01 -> 4.472545e+01 (delta= -5.483e+01) > CG-like phase decreased merit function, CG-like step accepted --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 1.000 (ratio of step length to trust radius) newTrustRad = 3.997e-09, trust radius increased === OUTER ITERATION 48 STARTED ================================================================== trustRad = 3.997e-09 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 0.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 3.553e-14) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 2.384e-10) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= -3.997e-10) aug.Lagrangian: 3.139542e+01 -> 3.139542e+01 (delta= -6.361e-11) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 4.472545e+01 -> 4.472545e+01 (delta= 2.384e-10) > CG-like phase increased merit function, completely discarding phase (happens sometimes, but not too often) --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 0.000 (ratio of step length to trust radius) newTrustRad = 3.997e-10, trust radius decreased === OUTER ITERATION 49 STARTED ================================================================== trustRad = 3.997e-10 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 0.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 7.105e-15) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 2.385e-11) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= -3.998e-11) aug.Lagrangian: 3.139542e+01 -> 3.139542e+01 (delta= -6.356e-12) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 4.472545e+01 -> 4.472545e+01 (delta= 2.385e-11) > CG-like phase increased merit function, completely discarding phase (happens sometimes, but not too often) --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 0.000 (ratio of step length to trust radius) newTrustRad = 3.997e-11, trust radius decreased === OUTER ITERATION 50 STARTED ================================================================== trustRad = 3.997e-11 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 0.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 0.000e+00) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 2.387e-12) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= -3.997e-12) aug.Lagrangian: 3.139542e+01 -> 3.139542e+01 (delta= -6.324e-13) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 4.472545e+01 -> 4.472545e+01 (delta= 2.274e-12) > CG-like phase increased merit function, completely discarding phase (happens sometimes, but not too often) --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 0.000 (ratio of step length to trust radius) newTrustRad = 3.997e-12, trust radius decreased === OUTER ITERATION 51 STARTED ================================================================== trustRad = 3.997e-12 lin.violation = 0.000e+00 (scaled violation of linear constraints) nlc.violation = 2.672e-01 (scaled violation of nonlinear constraints) gammaMax = 0.000e+00 --- linear step with second-order correction ------------------------------------------------------- > zero linear step was performed max(|Di|)/TrustRad = 1.000000 stp = 0.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 0.000e+00) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= 0.000e+00) > linear model produced short step, starting conjugate-gradient-like phase --- linear step with conjugate constraints (CG-like convergence) ----------------------------------- > LP subproblem produced good direction, minimization was performed max(|Di|)/TrustRad = 1.000000 stp = 1.000000 meritF: 4.472545e+01 -> 4.472545e+01 (delta= 2.416e-13) scaled-targetF: 1.735139e+01 -> 1.735139e+01 (delta= -4.015e-13) aug.Lagrangian: 3.139542e+01 -> 3.139542e+01 (delta= -6.040e-14) > step is close to 1, stopping iterations > evaluating changes in merit function (max over last 6 values is used for reference): meritF: 4.472545e+01 -> 4.472545e+01 (delta= 1.279e-13) > CG-like phase increased merit function, completely discarding phase (happens sometimes, but not too often) --- outer iteration ends --------------------------------------------------------------------------- deltaMax = 0.000 (ratio of step length to trust radius) newTrustRad = 3.997e-13, trust radius decreased > stopping condition met: trust radius is smaller than 1.000e-12 //////////////////////////////////////////////////////////////////////////////////////////////////// // OPTGUARD INTEGRITY CHECKER REPORT // //////////////////////////////////////////////////////////////////////////////////////////////////// > no discontinuity/nonsmoothness/bad-gradient suspicions were raised during optimization