Best Reference Books – Convex Optimization

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We have compiled a list of Best Reference Books on Convex Optimization Subject. These books are used by students of top universities, institutes and colleges.

Here is the full list of best reference books on Convex Optimization.

We have put a lot of effort into researching the best books for reference on this subject and came out with a recommended list of best books. The table below contains a review of these books and 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 books; the table serves as a ready reckoner list of these best books.

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1. “Convex Optimization Theory” by Dimitri P Bertsekas
2. “Convex Optimization” by Stephen Boyd, Lieven Vandenberghe
3. “Combinatorial Optimization: Algorithms and Complexity (Dover Books on Computer Science)” by Christos H Papadimitriou and Kenneth Steiglitz
4. “Lectures On Convex Sets” by Valeriu Soltan
5. “Lagrange-type Functions in Constrained Non-Convex Optimization (Applied Optimization)” by Alexander M Rubinov and Xiao-qi Yang
6. “Convex Optimization in Normed Spaces: Theory, Methods and Examples (SpringerBriefs in Optimization)” by Juan Peypouquet
7. “Introductory Lectures on Convex Optimization: A Basic Course (Applied Optimization)” by Yurii Nesterov
8. “Selected Applications of Convex Optimization (Springer Optimization and Its Applications)” by Li Li
9. “Conjugate Duality in Convex Optimization (Lecture Notes in Economics and Mathematical Systems)” by Radu Ioan Bot
10. “Convex Optimization Algorithms” by Dmitri P. Bertsekas

People who are searching for Free downloads of books and free pdf copies of these books – “Convex Optimization Theory” by Dimitri P Bertsekas, “Convex Optimization” by Stephen Boyd, Lieven Vandenberghe, “Combinatorial Optimization: Algorithms and Complexity (Dover Books on Computer Science)” by Christos H Papadimitriou and Kenneth Steiglitz, “Lectures On Convex Sets” by Valeriu Soltan, “Lagrange-type Functions in Constrained Non-Convex Optimization (Applied Optimization)” by Alexander M Rubinov and Xiao-qi Yang, “Convex Optimization in Normed Spaces: Theory, Methods and Examples (SpringerBriefs in Optimization)” by Juan Peypouquet, “Introductory Lectures on Convex Optimization: A Basic Course (Applied Optimization)” by Yurii Nesterov, “Selected Applications of Convex Optimization (Springer Optimization and Its Applications)” by Li Li, “Conjugate Duality in Convex Optimization (Lecture Notes in Economics and Mathematical Systems)” by Radu Ioan Bot, “Convex Optimization Algorithms” by Dmitri P Bertsekas – 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 “Convex Optimization” so that one can readily see the list of top books on “Convex Optimization” and buy the books either online or offline.

If any more book needs to be added to the list of best books on Convex Optimization Subject, please let us know.

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Sanfoundry Global Education & Learning Series – Best Reference Books!

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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