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The Algorithm Design Manual (3rd Ed.)
The Algorithm Design Manual (3rd Ed.)
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- Editorial : Springer
- Fecha de publicación : 6 Octubre 2020
- Edición : Tercera Edición 2020
- Idioma : Inglés
- Número de páginas : 810 páginas
- ISBN-10 : 3030542556
- ISBN-13 : 978-3030542559
La tercera edición de este manual clásico, escrito por el reconocido experto Steven S. Skiena, se posiciona como la herramienta definitiva para dominar el diseño de algoritmos y el análisis de su eficiencia. A través de un enfoque práctico y accesible, la obra logra eliminar el misterio que suele rodear a los conceptos técnicos complejos, convirtiéndose en el recurso de estudio predilecto tanto para cursos universitarios de informática como para la preparación de entrevistas técnicas en grandes empresas tecnológicas. La estructura del libro se divide de forma estratégica en dos partes fundamentales: una guía de instrucción sobre métodos de diseño y el famoso catálogo de recursos algorítmicos que permite a los lectores identificar y resolver problemas reales de manera inmediata.
Esta actualización incluye contenido expandido sobre algoritmos aleatorizados, hashing, aproximación y computación cuántica, además de incorporar ilustraciones a todo color y ejemplos de código que clarifican conceptos abstractos al instante. Los estudiantes universitarios y profesionales de la informática encontrarán un valor incalculable en las lecciones extraídas de experiencias reales y en la amplia colección de ejercicios que incluye retos de plataformas como LeetCode. Al prescindir del estilo tradicional de teoremas y pruebas rigurosas, Skiena ofrece una lectura intuitiva que enfatiza la implementación práctica y el uso de bibliotecas de software existentes. Es una inversión esencial para cualquier programador que busque fortalecer su pensamiento lógico y llevar sus habilidades de desarrollo al siguiente nivel competitivo. Adquiere este manual hoy mismo y transforma tu capacidad para resolver los desafíos algorítmicos más exigentes del sector tecnológico.
"My absolute favorite for this kind of interview preparation is Steven Skiena’s The Algorithm Design Manual. More than any other book it helped me understand just how astonishingly commonplace … graph problems are -- they should be part of every working programmer’s toolkit. The book also covers basic data structures and sorting algorithms, which is a nice bonus. … every 1 – pager has a simple picture, making it easy to remember." (Steve Yegge, Get that Job at Google)
"Steven Skiena’s Algorithm Design Manual retains its title as the best and most comprehensive practical algorithm guide to help identify and solve problems. … Every programmer should read this book, and anyone working in the field should keep it close to hand. … This is the best investment … a programmer or aspiring programmer can make." (Harold Thimbleby, Times Higher Education)
"It is wonderful to open to a random spot and discover an interesting algorithm. This is the only textbook I felt compelled to bring with me out of my student days.... The color really adds a lot of energy to the new edition of the book!" (Cory Bart, University of Delaware)
This newly expanded and updated third edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficiency. It serves as the primary textbook of choice for algorithm design courses and interview self-study, while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students.
The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Practical Algorithm Design, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, the Hitchhiker's Guide to Algorithms, is intended for browsingand reference, and comprises the catalog of algorithmic resources, implementations, and an extensive bibliography.
NEW to the third edition:
-- New and expanded coverage of randomized algorithms, hashing, divide and conquer, approximation algorithms, and quantum computing
-- Provides full online support for lecturers, including an improved website component with lecture slides and videos
-- Full color illustrations and code instantly clarify difficult concepts
-- Includes several new "war stories" relating experiences from real-world applications
-- Over 100 new problems, including programming-challenge problems from LeetCode and Hackerrank.
-- Provides up-to-date links leading to the best implementations available in C, C++, and Java
Additional Learning Tools:
-- Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, and the right path to solve them
-- Exercises include "job interview problems" from major software companies
-- Highlighted "take home lessons" emphasize essential concepts
-- The "no theorem-proof" style provides a uniquely accessible and intuitive approach to a challenging subject
-- Many algorithms are presented with actual code (written in C)
-- Provides comprehensive references to both survey articles and the primary literature
This substantially enhanced third edition of The Algorithm Design Manual is an essential learning tool for students and professionals needed a solid grounding in algorithms. Professor Skiena is also the author of the popular Springer texts, The Data Science Design Manual and Programming Challenges: The Programming Contest TrainingManual.
Biografía del autor
Dr. Steven S. Skiena is Distinguished Teaching Professor of Computer Science at Stony Brook University, with research interests in data science, natural language processing, and algorithms.
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