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 ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

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 ...

Save guides, add subjects and pick up where you left off with your BBC account. To sketch a quadratic function you must first determine the roots, nature and coordinates of the turning point and ...

Solving a quadratic equation is to find the values of x so that when x is substituted into equation (1), ax2+bx+c=0 is satisfied. There are 4 common ways to solve quadratic equations: factoring; ...

quadratic equations, inequalities, graphing, factoring, and systems of equations. The platform's AI-powered calculator can solve problems entered in various formats, such as typed equations or ...

py-pde is a Python package for solving partial differential equations (PDEs). The package provides classes for grids on which scalar and tensor fields can be defined. The associated differential ...

The main aspects of this certificate are: Universal programming concepts such as data types, containers, conditions, loops, and functions Python programming language syntax and semantics Developing ...

Abstract: In this letter, the delayed projection neural network for solving convex quadratic programming problems is proposed. The neural network is proved to be globally exponentially stable and can ...

Abstract: We provide an example proving that there exists no quadratic Lyapunov function for a certain class of linear agreement/consensus algorithms, a fact that had been numerically verified in . We ...