Optimisation techniques in this domain blend combinatorial methods with continuous optimisation approaches, such as linear programming relaxations, to obtain provably efficient and near-optimal ...

Introduction to constrained and optimization problems and their solution using mathematical programming techniques. Theory and implementation of linear, quadratic, and integer programming methods are ...

Dr. Rader currently focuses his research in the areas of nonlinear 0-1 optimization, computational integer programming, and exam time timetabling.

In regression problems alternative criteria of "best fit" to least squares are least absolute deviations and least maximum deviations. In this paper it is noted that linear programming techniques may ...

ELEC_ENG 395, 495: Optimization Techniques for Machine Learning and Deep Learning This course is not currently offered. Prerequisites A thorough understanding of Linear Algebra and Vector Calculus, ...

Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear Programming: regression, classification and other engineering applications. Integer Linear Programming: Basics, ...

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

Integer Programming and Optimization Techniques Publication Trend The graph below shows the total number of publications each year in Integer Programming and Optimization Techniques.