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, ...
What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...
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 ...
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.
remove-circle Internet Archive's in-browser bookreader "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see ...
Abstract: This work describes a MATLAB tool developed in the context of a didactic application toolbox that implements some advanced optimization and decision support methodologies, intended for use ...
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 computation of the basis inverse is the most time-consuming step in simplex type algorithms. This inverse does not have to be computed from scratch at any iteration, but updating schemes ...
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