(PSESOP)Interior Point Gradient (IPG) AlgorithmInterior Point Newton (IPN) AlgorithmRegularized Minimal Residual Norm Steepest Descent Algorithm (RMRNSD)Sequential Coordinate-Wise Algorithm (SCWA)SimulationsDiscussionsAppendix 5.A: Stopping CriteriaAppendix 5.B: MATLAB ...
Projected gradient descent is an iterative procedure with two substeps. Starting with a well-chosen physical state, first a step is taken in the downhill direction of the cost function, which has the chance to result in a nonphysical matrix. Second, to bring the estimate back within the ...
(PSESOP) Interior Point Gradient (IPG) Algorithm Interior Point Newton (IPN) Algorithm Regularized Minimal Residual Norm Steepest Descent Algorithm (RMRNSD) Sequential Coordinate-Wise Algorithm (SCWA) Simulations Discussions Appendix 5.A: Stopping Criteria Appendix 5.B: MATLAB Source Code for Lin's ...
The update procedure is based on the gradient flow of the objective functional by a fractional step projected steepest descent method. In the first step, the new design is found based on the projected steepest descent method to ensure the reduction in the objective functional, simultaneously ...