Learn how to use optimization and linear programming to solve problems in science and engineering. Find examples, algorithms, software, and resources.

Learn about the different types of linear programming models used in optimization for algorithms, such as standard, canonical, integer, mixed-integer, and quadratic models.

LP software incorporates frameworks that are dependent on conventional linear programming algorithms such as simplex and support architecture. These, plus variations of other mathematical methods ...

To solve the problems of SVM in dealing with large sample size and asymmetric distributed samples, a support vector classification algorithm based on variable parameter linear programming is proposed.

This paper focuses on the research and application of linear optimization algorithm and grey Wolf optimization algorithm, takes the energy storage system configuration optimization of the park energy ...

RuleOpt is an optimization-based rule learning algorithm designed for classification problems. Focusing on scalability and interpretability, RuleOpt utilizes linear programming for rule generation and ...

The Ph.D. program in algorithms, combinatorics, and optimization is intended to fill this gap. It brings together the study of the mathematical structure of discrete objects and the design and ...