Best Reference Books – Linear Programming and Optimization

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We have compiled the list of Top 10 Best Reference Books on Linear Programming and Optimization subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Linear Programming and Optimization along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Linear Programming and Optimization subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Linear Programming and Optimization" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Optimization: Linear Programming” by B K Mishra and B N Mishra

“Optimization: Linear Programming” Book Review: This book is for graduates and undergraduate students. It explains the concepts such as linear programming, simplex method, convex sets, transportation and assignment problems. It contains theory of games, duality theorem and degeneracy. It has many techniques and applications.

2. “Linear Programming: Foundations and Extensions” by Robert J Vanderbei

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“Linear Programming: Foundations and Extensions” Book Review: It explains the topics like linear programming, network flows, convex analysis and optimization. It contains integer and quadratic programming.

3. “Introduction to Linear Optimization (Athena Scientific Series in Optimization and Neural Computation, 6)” by Dimitris Bertsimas and John N Tsitsiklis

“Introduction to Linear Optimization(Athena Scientific Series in Optimization and Neural Computation, 6)” Book Review: It contains the advancement of linear optimization such as linear programming. It explains the network flow problems and discrete optimization.

4. “Nonlinear Programming: Concepts, Algorithms, and Applications to Chemical Processes (MPS-SIAM Series on Optimization)” by Lorenz T Biegler

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“Nonlinear Programming: Concepts, Algorithms and Applications to Chemical Processes (MPS-SIAM Series on Optimization)” Book Review: It explains the concepts, algorithms and applications of nonlinear programming.

5. “Applied Optimization with MATLAB Programming” by P Venkataraman

“Applied Optimization with MATLAB Programming” Book Review: It explains solving the problems of linear and nonlinear optimization techniques using MATLAB.

6. “Advances in Nonlinear Programming: Proceedings of the 96 International Conference on Nonlinear Programming (Applied Optimization)” by Ya-xiang Yuan

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“Advanced in Nonlinear Programming: Proceedings of the 96 International Conference on Nonlinear Programming (Applied Optimization)” Book Review: It explains the advancement in nonlinear programming.

7. “Linear-Fractional Programming Theory, Methods, Applications and Software (Applied Optimization)” by E B Bajalinov

“Linear-Fractional Programming Theory, Methods, Applications and Software (Applied Optimization)” Book Review: It explains linear fractional programming methods and its applications.

8. “Introduction to Mathematical Optimization: From Linear Programming to Metaheuristics” by Xin-She Yang

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“Introduction to Mathematical Optimization: From Linear Programming to Metaheuristics” Book Review: It explains the problem solving of mathematical optimization. It contains Newton-Raphson method, steepest descent method, Hooke Jeeves pattern search and lagrange multipliers. It has linear programming, particle swarm optimization, simulated annealing and Tabu search.

9. “Combinatorial Optimization: Algorithms and Complexity (Dover Books on Computer Science)” by Christos H Papadimitriou and Kenneth Steiglitz

“Combinatorial Optimization: Algorithms and Complexity (Dover Books on Computer Science” Book Review: It contains new algorithms for simplex method and linear programming. It explains topics like efficient algorithms for network flow, spanning trees etc.

10. “An Introduction to Nonlinear Optimization Theory” by Radu Strugariu and Marius Durea

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“An Introduction to Nonlinear Optimization Theory” Book Review: It explains the techniques of continuous smooth and nonsmooth optimization.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Linear Programming and Optimization – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Linear Programming and Optimization" so that one can readily see the list of top books on "Linear Programming and Optimization" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Linear Programming and Optimization subject, please let us know.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter