Abstract: We present a novel branch-and-bound solver for mixed-integer quadratic programs (MIQPs) that efficiently exploits the first-order OSQP solver for the quadratic program (QP) sub-problems. Our ...

Abstract: In this paper, a new algorithm, namely, a reduced Hessian sequential quadratic programming (SQP) method, for solving electromagnetic inverse problems is proposed. The electromagnetic inverse ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Quadratic is a innovative spreadsheet platform that seamlessly integrates artificial intelligence, programming capabilities, and real-time data connectivity into a single, intuitive interface.

This library provides a solve_qp function to solve convex quadratic programs: $$ \begin{split} \begin{array}{ll} \underset{x}{\mbox{minimize}} & \frac{1}{2} x^T P x + q^T x \\ \mbox{subject to} & G x ...

The German historian Oswald Spengler considered our age the age of abstraction. Nowhere is this more apparent than in programming, where abstraction isn’t just a conceptual convenience but an absolute ...

Not a lot of thought goes into the average spreadsheet. Yet, increasingly, spreadsheets are becoming an essential tool for data teams. Entrepreneur David Kircos knows this well; he previously worked ...

This paper investigates a quadratic programming problem subject to fuzzy relation inequalities with the addition-min composition operator. Three different approaches for solving the problem are ...