Convexity is a key property to global optimal for mathematical programming. Previous convex fitting works can only guarantee convexity at table entries or sampled points using semi-definite ...

Convex piecewise linear programming is a small and useful extension to linear programming. Two Python modules will allow easy formulation of a PLP problem with variables and equations.

Research on heavily optimized online and offline convex linear programming algorithms and tested their efficiency and accuracy with various complexities of input data in Matlab and Python - allenye ...

Optimization and linear programming can be used to model and solve various types of problems, such as linear, nonlinear, discrete, continuous, convex, or non-convex.

Convex Programming in Python Abstract: This chapter helps the students to identify linear and quadratic optimization problems. It utilizes Python and the module CvxPy, as a modeling language for ...

This paper presents a new heuristic to linearise the convex quadratic programming problem. The usual Karush-Kuhn-Tucker conditions are used but in this case a linear objective function is also ...

Linear Programs (LPs) and Semidefinite Programs (SDPs) are central tools in the design and analysis of algorithms. In this course, we will study the mathematical foundations behind these convex ...

Convex Minimum Cost Flow: from Linear Programming to Accelerated Dual Descent Method: For the linear programming problem of minimum cost flow where the cost for each network edge is a constant, we ...