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Best Books on Algorithms

Recommendations from 15 articles, Leo Polovets.
19 books on the list
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Introduction to Algorithms
Thomas H. Cormen - Jul 31, 2009
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The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow.Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor an...
Algorithms
Robert Sedgewick - Apr 02, 2011 (first published in 1983)
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This fourth edition of Robert Sedgewick and Kevin Wayne's Algorithms is the leading textbook on algorithms today and is widely used in colleges and universities worldwide. This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing...
The Algorithm Design Manual
Steven S. Skiena - Oct 06, 2020 (first published in 1997)
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This book/CD-ROM package is a handy reference for working professionals who use algorithms on a daily basis. Practical Algorithm Design takes the "mystery" out of algorithms which readers encounter in the workplace by identifying and explaining them. A major feature of this book is the inclusion of a complete "catalog" of important algorithmic prob...
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Leo Polovets
Grokking Algorithms
An illustrated guide for programmers and other curious people
Aditya Bhargava - Apr 30, 2016
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An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to take a hard pass on Knuth's brilliant but impenetrable theories and the dense multi-page proofs you'll find in most textbooks, this is the book for yo...
Data Structures and Algorithms Made Easy
Data Structures and Algorithmic Puzzles
Narasimha Karumanchi - Aug 28, 2016 (first published in 2011)
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Peeling Data Structures and Algorithms: Table of Contents: goo.gl/JFMgiUSample Chapter: goo.gl/n2Hk4iFound Issue? goo.gl/forms/4Gt72YO81IVideos: goo.gl/BcHq74"Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for ...
Algorithms Unlocked
Thomas H. Cormen - Mar 01, 2013
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Have you ever wondered how your GPS can find the fastest way to your destination, selecting one route from seemingly countless possibilities in mere seconds? How your credit card account number is protected when you make a purchase over the Internet? The answer is algorithms. And how do these mathematical formulations translate themselves into your...
Trading and Exchanges
Market Microstructure for Practitioners
Larry Harris - Oct 24, 2002
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This book is about trading, the people who trade securities and contracts, the marketplaces where they trade, and the rules that govern it. Readers will learn about investors, brokers, dealers, arbitrageurs, retail traders, day traders, rogue traders, and gamblers; exchanges, boards of trade, dealer networks, ECNs (electronic communications network...
Algorithmic Trading and DMA
An introduction to direct access trading strategies
Barry Johnson - Feb 17, 2010
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Algorithmic trading and Direct Market Access (DMA) are important tools helping both buy and sell-side traders to achieve best execution. This book starts from the ground up to provide detailed explanations of both these techniques: - An introduction to the different types of execution is followed by a review of market microstructure theory. Through...
Algorithms in a Nutshell
A Practical Guide
George T. Heineman - Apr 05, 2016 (first published in 2008)
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Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs with just enough ...
The Elements of Statistical Learning
Data Mining, Inference, and Prediction (Springer Series in Statistics)
Trevor Hastie - Jul 29, 2003
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During the past decade there has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data...
Advances in Financial Machine Learning by Marcos Lopez de Prado
Dynamic Hedging by Nassim Nicholas Taleb
Introduction to Algorithms by Udi Manber
Inside the Black Box by Rishi K. Narang
Beginning Python by Magnus Lie Hetland
Python Algorithms by Magnus Lie Hetland
Quantitative Trading by Ernie Chan
Evidence-Based Technical Analysis by David Aronson