Gauss’s principle of least constraint transforms a dynamics problem into a pure minimization framework. We show that this minimization problem is a Strongly Convex Quadratic Programming (SCQP) problem ...

We formulate this problem as a nonlinear Generalized Disjunctive Program (GDP), which, following transformation, results in a large-scale mixed-integer nonlinear programming (MINLP) problem. This ...

This research formulates the medical staff's scheduling and vacation control problems as constrained mixed integer quadratic programming problems. Computational results indicate that the proposed ...

Implementation of dynamic programming heuristics from a research paper to solve the Quadratic Knapsack Problem (QKP), with test cases and complexity analysis. - Sheng254/DP-Heuristic ...

OpenAI on Friday unveiled a new artificial intelligence system, OpenAI o3, which is designed to “reason” through problems involving math, science and computer programming.

Numerous authors have discussed quadratic programming as well as quadratic fractional programming problems with distinct methodologies. An important application of quadratic programming has been noted ...

Sequential Least Squares Quadratic Programming (SLSQP) is an iterative algorithm designed to solve constrained nonlinear optimization problems. As a special case of the Sequential Quadratic ...