An algorithm for minimizing a nonlinear function subject to nonlinear inequality constraints is
described. It applies sequential quadratic programming techniques to a sequence of barrier …

Just as in its 1st edition, this book starts with illustrations of the ubiquitous character of
optimization, and describes numerical algorithms in a tutorial way. It covers fundamental …

A sequential quadratic programming (SQP) algorithm generating feasible iterates is
described and analyzed. What distinguishes this algorithm from previous feasible SQP …

This paper provides a review of numerical methods for the solution of smooth semi-infinite
programming problems. Fundamental and partly new results on level sets, discretization …

We propose a feasible direction approach for the minimization by interior-point algorithms of
a smooth function under smooth equality and inequality constraints. It consists of the iterative …

Extension of quasi-Newton techniques from unconstrained to constrained optimization via
Sequential Quadratic Programming (SQP) presents several difficulties. Among these are the …

Sensitivity analysis and optimal shape design are key issues in engineering that have been
affected by advances in numerical tools currently available. This book, and its …

An exact-penalty-function-based scheme---inspired from an old idea due to Mayne and
Polak [Math. Program., 11 (1976), pp. 67--80]---is proposed for extending to general smooth …

Mathematical programming provides general tools for engineering design optimization. We
present numerical models for simultaneous analysis and design optimization (SAND) and …

For periodic gait optimization problem of the bipedal walking robot, a class of global and
feasible sequential quadratic programming algorithm (FSQPA) is proposed based on …