Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...

Abstract: Deep neural networks (DNNs) are used in various domains, such as image classification, natural language processing and face recognition, etc. However, the presence of malicious examples, ...

This repository holds the Jupyter notebooks coded throughout the Optimization course at Los Andes University, 2024-1 Semester. Notebooks include topics related to Linear Programming, Convex ...

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This notebook serves as an introduction to Linear Programming and MILP with Python, covering both the concepts and practical applications through various popular optimization problems.

ABSTRACT: In case of mathematical programming problems with conflicting criteria, the Pareto set is a useful tool for a decision maker. Based on the geometric properties of the Pareto set for a ...

ABSTRACT: The purpose of this paper is to introduce a new pivot rule of the simplex algorithm. The simplex algorithm first presented by George B. Dantzig, is a widely used method for solving a linear ...

Abstract: for implementing the online linear regression for the chemical product development process, based on web service technology, a linear regression service is proposed by encapsulating the ...