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

Instructor Fall 2016: Sriram SankaranarayananPrerequisitesCalculus I,II + Algorithms + Linear Algebra.Topics CoveredRoughly, we will cover the following topics (some of them may be skipped depending ...

This paper develops an algorithm for pure integer programming problems. It first transforms the integer programming problem to an algebraically equivalent Hermite canonical problem, and then employs ...

Integer programming is a crucial branch of mathematical optimisation that focuses on problems where some or all decision variables are constrained to be integers. This field underpins many ...

IENG.3010 — Undergraduate Id: 041731 Offering: 1 Credits: 3-3 Description This course is concerned with the introduction to the formulation, solution, interpretation, and implementation of ...

Id: 041738 Credits Min: 3 Credits Max: 3 Description this course is concerned with the theory and application of deterministic mathematical models in operations research. Topics include nonlinear ...

Modern optimization theory, algorithms, and applications in process engineering. Topics include the fundamentals of linear programming, integer programming, nonlinear programming, mixed-integer ...

Integer programming, a cornerstone of combinatorial optimisation, focuses on the selection of discrete decision variables to solve complex real‐world problems such as scheduling, network design ...

M. Raghavachari, On Connections between Zero-One Integer Programming and Concave Programming under Linear Constraints, Operations Research, Vol. 17, No. 4 (Jul. - Aug ...