The book also addresses linear programming duality theory and its use in algorithm design as well as the Dual Simplex Method, Dantzig-Wolfe decomposition, and a primal-dual interior point algorithm.

IE 53500 - Linear Programming Optimization of linear objective functions subject to linear constraints. Development of theory and algorithmic strategies for solving linear programming problems. IE ...

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

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, ...

Harvey M. Wagner, Linear Programming Techniques for Regression Analysis, Journal of the American Statistical Association, Vol. 54, No. 285 (Mar., 1959), pp. 206-212 Free online reading for over 10 ...

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 ...