Description
The Watchdog Technique For Forcing Convergence In Algorithms For Constrained Optimization -- Reduced Quasi-newton Methods With Feasibility Improvement For Nonlinearly Constrained Optimization -- A Surperlinearly Convergent Algorithm For Constrained Optimization Problems -- Computation Of The Search Direction In Constrained Optimization Algorithms -- A Projected Lagrangian Algorithm And Its Implementation For Sparse Nonlinear Constraints -- On Some Experiments Which Delimit The Utility Of Nonlinear Programming Methods For Engineering Design -- Determining Feasibility Of A Set Of Nonlinear Inequality Constraints -- Conjugate Gradient Methods For Linearly Constrained Nonlinear Programming -- Asymptotic Properties Of Reduction Methods Applying Linearly Equality Constrained Reduced Problems. Edited By A. G. Buckley, J.- L. Goffin.