Mejores libros sobre algoritmos
Descubre tu camino hacia la comprensión con los libros más citados sobre algoritmos de blogs expertos en ciencias de la computación y publicaciones académicas. Sus clasificaciones se determinan algorítmicamente en función de la frecuencia de sus características.
47 libros en la lista
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A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.
Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout.
New for the fourth edition
New chapters on matchings in bipartite graphs, online algorithms, and machine learningNew material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays140 new exercises and 22 new problemsReader feedback-informed improvements to old problemsClearer, more personal, and gender-neutral writing styleColor added to improve visual presentationNotes, bibliography, and index updated to reflect developments in the fieldWebsite with new supplementary material
Warning: Avoid counterfeit copies of Introduction to Algorithms by buying only from reputable retailers. Counterfeit and pirated copies are incomplete and contain errors.
Presentado en 19 artículos
"Practical Algorithm Design" is the ultimate reference for working professionals who use algorithms daily. The book demystifies algorithms commonly encountered in the workplace by clearly identifying and explaining them. It features a complete catalog of essential algorithmic problems, so readers can quickly identify and solve problems with ease. If you're looking for a comprehensive guide to mastering algorithms, this book is a must-read.
Presentado en 15 artículos
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Leo PolovetsDiscover the leading textbook on algorithms used in colleges worldwide! This fourth edition delves into the most important computer algorithms for sorting, searching, graph processing, and string processing, including fifty every programmer should know. With new Java implementations and a companion website complete with exercises, test data, and more, this book offers indispensable knowledge for any computer science student or professional programmer.
Presentado en 15 artículos
Algoritmos. Guía ilustrada para programadores y curiosos
An illustrated guide for programmers and other curious people
Un algoritmo no es más que un procedimiento paso a paso para resolver un problema. Los algoritmos que se utilizan más a menudo en programación ya han sido descubiertos, probados
Presentado en 11 artículos
Data Structures and Algorithms Made Easy
Data Structures and Algorithmic Puzzles
Discover solutions to complex problems related to data structures and algorithms with this handy guide. Packed with multiple solutions for each problem, this book is coded in C/C++ and is perfect for computer science professionals as a reference manual or for anyone looking to prepare for interviews, exams, or campus work. Topics covered include linked lists, priority queues, graph algorithms, sorting, and more. Get ready to peel back the layers of data structures and algorithms with this essential resource.
Presentado en 7 artículos
Algorithms in a Nutshell is a comprehensive guide to existing algorithms for solving various programming problems. The book focuses on practical applications rather than theory and provides efficient code solutions in C, C++, Java, and Ruby. Learn how to quickly locate algorithms and determine which one is appropriate for your needs, understand algorithm performance, and improve the efficiency of your code. This updated edition includes advanced data structure lessons to enhance your algorithmic knowledge.
Presentado en 7 artículos
Discover the Design and Analysis Techniques of Algorithms Used in Computing Applications with this book. Introducing algorithms through real-world problems, this text will help you appreciate and understand the algorithm design process, and their role in computer science.
Presentado en 7 artículos
La entrevista perfecta
las claves para superar con éxito el proceso de selección de las mejores empresas de IT
¿Qué profesional de la tecnología no ha soñado alguna vez con trabajar en empresas como Google, Facebook, Yahoo o Amazon? Aunque el proceso de selección sea duro y complejo, con esta obra podrá adquirir la preparación adecuada para conseguir un puesto de trabajo apasionante. Los consejos que aquí se ofrecen pueden aplicarse a cualquier empresa de IT.
Este libro incluye 150 preguntas de entrevistas, así como sus respuestas y otros muchos consejos para que la preparación sea total. Verá cómo es el proceso de selección, qué buscan los entrevistadores y cómo escribir un buen currículo. Es además un increíble compendio de problemas y estrategias que debe dominar para superar con éxito una entrevista técnica.
La autora, ingeniera de gran reputación, trabaja como entrevistadora para empresas de software a nivel mundial. Esta obra es el resultado de todos sus años de experiencia.
Presentado en 6 artículos
This book is all about algorithms and how they make modern technology possible. From GPS to credit card security, algorithms are the mathematical formulations that enable computers to solve problems quickly and efficiently. In "Algorithms Unlocked," the author provides an engaging and approachable guide to understanding computer algorithms without overwhelming readers with complicated mathematics. Discover how algorithms work, how to describe and evaluate them, and learn about topics like graph modeling, cryptography, and data compression.
Presentado en 6 artículos
Enhance your problem-solving abilities and grasp the principles behind algorithm design with this book. Discover hundreds of examples and problems as the author highlights the creative process of algorithms development, drawing an analogy between proving mathematical theorems and designing combinatorial algorithms.
Presentado en 5 artículos
Introduction to the Design and Analysis of Algorithms by Anany Levitin
Advances in Financial Machine Learning by Marcos Lopez de Prado
Python Algorithms by Magnus Lie Hetland
Problem Solving with Algorithms and Data Structures Using Python SECOND EDITION by Bradley N. Miller
Trading and Exchanges by Larry Harris
Data Structures and Algorithms in Java by Robert Lafore
Data Structures and Algorithms in Python by Roberto Tamassia, Michael H. Goldwasser, Michael T. Goodrich
Building Winning Algorithmic Trading Systems, + Website by Kevin J. Davey
Algorithmic Trading and DMA by Barry Johnson
Algorithms in C++ by Robert Sedgewick
Estructura de Datos y Algoritmos En Java by Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser
Quantitative Trading by Ernie Chan
Estructuras de datos y algoritmos by Alfred Aho
Algorithmic Trading by Ernie Chan
Advanced Data Structures by Peter Brass
Deep Learning by Ian Goodfellow
The Art of Computer Programming, Vol. 1 by Donald E. Knuth
The Elements of Statistical Learning by Trevor Hastie
An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
Dynamic Hedging by Nassim Nicholas Taleb
A Common-Sense Guide to Data Structures and Algorithms by Jay Wengrow
The Art and Science of Technical Analysis by Adam Grimes
Data Structures and Algorithms Made Easy in Java by Narasimha Karumanchi
Options, Futures, and Other Derivatives by John C Hull
Fundamentals of Machine Learning for Predictive Data Analytics by John D. Kelleher
Algorithms, Part I by Sedgewick Robert, Wayne Kevin
Hands-On Data Structures and Algorithms with Python by Dr. Basant Agarwal, Benjamin Baka
Data Structures and Algorithms in C++ by Adam Drozdek
Data Structures and Algorithms in C++ by Michael T. Goodrich, Roberto Tamassia, David M. Mount
Python for Finance by Yves Hilpisch
Automate This by Christopher Steiner
Beginning Python by Magnus Lie Hetland
Inside the Black Box by Rishi K. Narang
Analysis of Financial Time Series by Ruey S. Tsay
Algoritmos iluminados (Primera parte) by Tim Roughgarden
Algoritmos para la vida cotidiana by Brian Christian
Evidence-Based Technical Analysis by David Aronson