The purpose of this article is to demystify the complexity behind optimization by illustrating how it works in a case study context. The Situation The North American division of a global manufacturer ...

Linear semi-infinite programming (LSIP) is a branch of optimisation that focuses on problems where a finite number of decision variables is subject to infinitely many linear constraints.

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

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

Successive Linear Programming (SLP), which is also known as the Method of Approximation Programming, solves nonlinear optimization problems via a sequence of linear programs. This paper reports on ...

Katsujiro Tachikawa, Hitomi Sakai, A Multi-Objective Optimization Method by Sequential Linear Programming, SAE Transactions, Vol. 97, Section 4: JOURNAL OF PASSENGER CARS (1988), pp. 901-907 ...