Algorithms based on the sequential quadratic programming (SQP) approach are among the most effective methods for solving (1). Some interesting algorithms of this class are given, for example, in [3, 4 ...

A sequential quadratic programming (SQP) method is presented that aims to overcome some of the drawbacks of contemporary SQP methods. It avoids the difficulties associated with indefinite quadratic ...

Material allocation is a nonlinear optimization problem. For this problem, a quadratic programming based material allocation optimization algorithm is proposed. In the proposed algorithm, firstly, the ...

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The fundamental Newtonian approach to solving (1) is the sequential quadratic programming (SQP) algorithm [2, 40, 18]; see also [28 ... We presented a survey of literature and some discussion of the ...

A SQP algorithm implementation for solving nonlinear constrained optimization problems - spiroskou/Sequential-Quadratic-Programming-method-Implementation-in-Matlab. Skip to content. Navigation Menu ...

A novel approach to exploiting the log-convex structure present in many design problems is developed by modifying the classical Sequential Quadratic Programming (SQP) algorithm. The modified algorithm ...

We review the motivation for, the current state-of-the-art in convergence results, and some open questions concerning the stabilized version of the sequential quadratic programming algorithm for ...