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 practical ...

Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear ...

https://doi.org/10.2307/3009435 • https://www.jstor.org/stable/3009435 Copy URL Commercial branch and bound codes for solving the general mixed integer linear ...

This course is concerned with the introduction to the formulation, solution, interpretation, and implementation of mathematical models in operations research including nonlinear programming, linear ...

this course is concerned with the theory and application of deterministic mathematical models in operations research. Topics include nonlinear programming, integer programming, integer programming and ...

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

The problem of applying Generalized Lagrange Multipliers (GLM) to 0-1 integer programming problems is investigated. It is shown that GLM can produce optimal solutions if and only if these solutions ...

As the title suggests, I have a problem in which I need to formulate an LP model. I'm supposed to work in Excel and use the Solver Add-in feature.<BR><BR>I've done several other problems already, but ...