It is a generalization of the well-known sequential quadratic programming (SQP) method and considerslinear semidefinite subproblems that can be solved using standard interior point packages. Note that ...

This paper describes a new algorithm for solving nonlinear programming problems with inequality constraints. The proposed approach first solves a sequence of quadratic programming sub problems with a ...

A Primal-Dual Frank-Wolfe Algorithm for Linear Programming; Accelerated gradient descent: A guaranteed bound for a heuristic restart strategy; Range of the displacement operator of PDHG with ...

Abstract: Thermodynamic computing has emerged as a promising paradigm for accelerating computation by harnessing the thermalization properties of physical systems. This work introduces a novel ...

An introductory implementation of a Stochastic Sequential Quadratic Programming ... Automatically checks LICQ (Linear Independence Constraint Qualification). Includes examples for solving optimization ...

Keywords: linear combination, optimized weights, quadratic programming, ground motion model, within-rock records, South Korea. Citation: Jang D, Ahn J-K, Kim T-W and Kwak DY (2023) Linearly combined ...