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The Algorithm Design Manual de Steven S. Skiena

The Algorithm Design Manual: Texts in Computer Science

Autor Steven S. Skiena
en Limba Engleză Paperback – 7 oct 2021

Implementarea eficientă a unui sistem software depinde direct de capacitatea programatorului de a identifica structura fundamentală a unei probleme, fie că este vorba despre traversarea grafurilor sau optimizarea căutării. Credem că The Algorithm Design Manual reușește să rezolve exact această dificultate tehnică: tranziția de la teoria abstractă la soluția aplicabilă în cod. Ediția a treia a acestui manual de referință elimină barierele matematice dense, optând pentru un stil intuitiv și vizual, unde fiecare pagină de prezentare beneficiază de ilustrații color care clarifică procesul de proiectare. Reținem organizarea pragmatică a volumului, împărțit în două secțiuni distincte. Prima parte se concentrează pe metodologiile de design, în timp ce a doua parte, intitulată sugestiv 'Hitchhiker's Guide to Algorithms', funcționează ca un catalog de referință rapidă pentru implementări în C, C++ sau Java. Abordarea diferă de Algorithm Design de Jon Kleinberg prin faptul că este mult mai puțin abstractă și mult mai orientată către aplicații imediate, punând accent pe experiențele de tip 'war stories' — relatări reale despre cum algoritmii au salvat sau au complicat proiecte industriale. În comparație cu Algorithms de Robert Sedgewick, care este un standard academic solid, lucrarea lui Steven S. Skiena se simte mai aproape de trusa de scule a unui inginer, fiind un instrument de studiu ideal pentru interviurile la companii mari de tehnologie, datorită includerii problemelor preluate de pe LeetCode. Progresia materialului este logică, pornind de la structuri de date de bază și sortare, până la subiecte moderne precum computația cuantică și algoritmi de aproximare. Această lucrare continuă direcția practică stabilită de autor în The Data Science Design Manual, păstrând același ton accesibil care a transformat textele sale în resurse indispensabile pentru comunitatea IT.

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Specificații

ISBN-13: 9783030542580
ISBN-10: 3030542580
Pagini: 812
Ilustrații: XVII, 793 p. 1 illus.
Dimensiuni: 178 x 235 x 44 mm
Greutate: 1.38 kg
Ediția:Third Edition 2020
Editura: Springer
Colecția Texts in Computer Science
Seria Texts in Computer Science

Locul publicării:Cham, Switzerland

De ce să citești această carte

Recomandăm această carte oricărui programator care dorește să treacă de la scrierea de cod la proiectarea de soluții scalabile. Veți câștiga o metodologie clară de abordare a problemelor complexe de interviu și acces la un catalog de 75 de soluții gata de utilizat pentru provocări algoritmice reale. Este investiția ideală pentru cei care preferă exemplele practice și codul sursă în locul demonstrațiilor matematice lungi.

Despre autor

Steven S. Skiena este un cercetător recunoscut în domeniul algoritmilor, distins cu premiul IEEE Computer Science and Engineering Teaching Award pentru excelență în educație. Expertiza sa vastă în algoritmică și data science este reflectată în lucrări de referință precum The Data Science Design Manual și Programming Challenges. Stilul său pedagogic este marcat de o capacitate rară de a face subiectele tehnice dificile accesibile, folosind adesea simulări computerizate și modelare matematică, metodă pe care a explorat-o inclusiv în lucrarea sa Calculated Bets.

Descriere scurtă

"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. This is a great way to learn how to identify hundreds of problem types." (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 aninteresting 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)
"The is the most approachable book on algorithms I have."   (Megan Squire, Elon University)
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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 browsing and 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, leading the reader down 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  
Written by a well-known algorithms researcher who received the IEEE Computer Science and Engineering Teaching Award, 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 Training Manual.

Cuprins

TO UPDATE
Practical Algorithm Design.- to Algorithm Design.- Algorithm Analysis.- Data Structures.- Sorting and Searching.- Graph Traversal.- Weighted Graph Algorithms.- Combinatorial Search and Heuristic Methods.- Dynamic Programming.- Intractable Problems and Approximation Algorithms.- How to Design Algorithms.- The Hitchhiker’s Guide to Algorithms.- A Catalog of Algorithmic Problems.- Data Structures.- Numerical Problems.- Combinatorial Problems.- Graph Problems: Polynomial-Time.- Graph Problems: Hard Problems.- Computational Geometry.- Set and String Problems.- Algorithmic Resources.

Notă biografică

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. He was awarded the IEEE Computer Science and Engineering Undergraduate Teaching Award “for outstanding contributions to undergraduate education ...and for influential textbooks and software.”  

Caracteristici

Unique, handy reference package with a practical, hands-on appeal to a wide audience This classic bestseller has been fully updated, and enhanced with new and expanded material on hashing and randomized algorithms, divide and conquer algorithms, and dealing with hard problems (including quantum algorithms) Contains a highly unique catalog of the 75 most important algorithmic problems Additional useful information such as lecture slides and updates available via author's website

Descriere

Descriere de la o altă ediție sau format:

Most professional programmers that I’ve encountered are not well prepared to tacklealgorithmdesignproblems.Thisisapity,becausethetechniquesofalgorithm design form one of the core practical technologies of computer science. Designing correct, e?cient, and implementable algorithms for real-world problems requires access to two distinct bodies of knowledge: • Techniques – Good algorithm designers understand several fundamental - gorithm design techniques, including data structures, dynamic programming, depth-?rst search, backtracking, and heuristics. Perhaps the single most - portantdesigntechniqueismodeling,theartofabstractingamessyreal-world application into a clean problem suitable for algorithmic attack. • Resources – Good algorithm designers stand on the shoulders of giants. Ratherthanlaboringfromscratchtoproduceanewalgorithmforeverytask, they can ?gure out what is known about a particular problem. Rather than re-implementing popular algorithms from scratch, they seek existing imp- mentations to serve as a starting point. They are familiar with many classic algorithmic problems, which provide su?cient source material to model most any application. This book is intended as a manual on algorithm design, providing access to combinatorial algorithm technology for both students and computer professionals.