2024年12月15日 · A Quadratically Constrained Quadratic Program (QCQP) can be defined as an optimization problem where the objective function and the constraints are quadratic. It …

Quadratic programming (QP) is the process of solving certain mathematical optimization problems involving quadratic functions. Specifically, one seeks to optimize (minimize or maximize) a …

通常我们说QP问题，就默认是指 Q\geq 0 。 在 凸优化笔记(2)几类标准问题以及Linear Programming简介 提过，LP是QP的一种特殊情况，所以从以上的定义，可以看出当Q=0时， …

QP solvers come with their strengths and weaknesses depending on the algorithmic choices they make. To help you find the ones most suited to your problems, you can check out the results …

2020年10月17日 · QP can be used to solve quadratic functions with linear bounds, made especially straightforward with a convex objective function. QP can also be used as a stepping …

2020年7月27日 · I have seen that QP can be rewritten as a SOCP from several resources online. Why is this the case? More precisely, using relaxation, QP can be written as $$ \min_{x,t} c^Tx …

2025年2月17日 · This paper presents a computationally-efficient method for evaluating the feasibility of Quadratic Programs (QPs) for online constrained control. Based on the duality …

2025年2月17日 · This paper presents a computationally-efficient method for evaluating the feasibility of Quadratic Programs (QPs) for online constrained control. Based on the duality …

Box constrained QP problems can be solved with two QP algorithms: QP-BLEIC and QuickQP. First one is a general purpose active set method applied to quadratic programming. Second …

Active set methods can be applied to both convex and nonconvex problems. Gradient projection methods, which allow rapid changes in the active set, are most effective for QPs with only …