This paper studies the optimal consensus control of linear multi-agent systems with deceptive agents or traitorous agents. An error-effort ratio is defined to quantify an agent's income in the ...

Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

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, generated by ...

This repository contains a collection of four linear programming problems solved using the Simplex Method and Graphical Methods. The problems illustrate different optimization scenarios, demonstrating ...

G raphical programming isn't new. Yet significant improvements in visual architecture, development-tool user interfaces, and compilation to hardware and software targets have moved graphical ...

CSCI 5654: Linear Programming CSCI 5654: Linear Programming Instructor Fall 2016: Sriram Sankaranarayanan Prerequisites Calculus I,II + Algorithms + Linear Algebra. Topics Covered Roughly, we will ...

We propose an extension of graphical log-linear models to allow for symmetry constraints on some interaction parameters that represent homologous factors. The conditional independence structure of ...

The purpose of this paper is to develop a useful technique for solving linear programmes involving more than one objective function. Motivation for solving multicriterion linear programmes is given ...