We consider a linear Hopfield network for solving quadratic programming problems with equation constraints. The problem is reduced to the solution of the ordinary linear differential equations with ...

Abstract: A Lagrangian approach to the solution of the quadratic programming problem resulting from the open-loop, optimal control law for linear model predictive control is presented. The Lagrangian ...

Primal-dual hybrid gradient (PDHG) is a first-order method for saddle-point problems and convex programming introduced by Chambolle and Pock. Recently, Applegate et al.\ analyzed the behavior of PDHG ...

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 ...

Mixed-integer quadratic programming (MIQP) is the problem of optimizing a quadratic function over points in a polyhedral set where some of the components are restricted to be integral. In this paper, ...

Description This project implements a linear, hard-margin Support Vector Machine (SVM) using quadratic programming (QP) via the cvxopt library. The LinearSVM-QP class is designed to train and classify ...

Discover a continuous method for solving binary quadratic programming problems. Convert the original problem into an equivalent continuous optimization problem using NCP function. ... Audet, C. (1997) ...

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 ...