Decomposition Techniques in Mathematical Programming

Decomposition Techniques in Mathematical Programming

Antonio J. Conejo, Enrique Castillo, Roberto Mínguez, Raquel García-Bertrand

Algorithms

Algorithms

Description

Decomposing hard optimization problem into simple problems that can be solves easily using a basic computer.

Short Summary

This book provides a practical approach to decomposition techniques in optimization. It provides an appropriate blend of theoretical background and practical applications in engineering and science, which makes the book interesting for practitioners, as well as engineering, operations research and applied economics graduate and postgraduate students. This book is similar to Warren Powell's Seqeuntial decision Analytics where it takes a easy teach by example approach. However, the reader must have some level of math to understand this book.

When & Why?

If you are already familiar with optimization models and want to make it faster or solvable by using decomposition techniques. You are also pretty familiar with basic calculus and mathematical notation.

Review: what is good & less good?

Might be too advanced for beginners. Would definitely benefit if you have a good understanding of optimization already.

Optimzation4All

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Optimzation4All

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The expertise hub is a bridge between experts and beginners, academia and industry, businesses and policymakers. Sharing knowledge creates a ripple effect, empowering more people, facilitating innovation, and leading to smarter decisions. Small steps can make a huge impact! 

Whether you’re here to learn, share, or collaborate, you’re in the right place.


2025 © Optimization4All