"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 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) "The is the most
approachable book on algorithms I have." (Megan Squire, Elon
University) --- 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.
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