Learn IT - Books tags algorithm

How to Think About Algorithms

Cambridge University Press, 2008

There are many algorithm texts that provide lots of well-polished code and proofs of correctness. This book is not one of them. Instead, this book presents insights, notations, and analogies to help the novice describe and think about algorithms like an expert. By looking at both the big picture and easy step-by-step methods for developing...

Handbook of Data Structures and Applications

CRC Press, 2004

Handbook of Data Structures and Applications responds to the needs of data structure and algorithm researchers by providing a comprehensive survey of data structures of various types. Divided into seven parts, the text begins with a review of introductory material, followed by a discussion of well-know classes of data structures, Priority...

Compared to What?: An Introduction to the Anaylsis of Algorithms

W. H. Freeman, 1991

I am very pleased to have this new book in the Aho/Ullman series Principles of Computer Science. I see this book as a major step toward making computer science theory accessible to the wide range of students who need to know the subject. It covers a good segment of the classical material on data structures and algorithms, but it does so in a...

Introduction to 64 Bit Intel Assembly Language Programming for Linux

CreateSpace Independent Publishing Platform, 2011

The Intel CPU architecture has evolved over 3 decades from a 1 6 bit CPU with no memory protection, through a period with 32 bit processors with sophisticated architectures into the current series of processors which support all the old modes of operation in addition to a greatly expanded 64 bit mode of operation. Assembly...

Network Models and Optimization: Multiobjective Genetic Algorithm Approach (Decision Engineering)

Springer, 2008

Network models are critical tools in business, management, science and industry. Network Models and Optimization: Multiobjective Genetic Algorithm Approach presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering,...

Parallel Programming with Co-arrays (Chapman & Hall/CRC Computational Science)

CRC Press, 2018

Parallel Programming with Co-Arrays describes the basic techniques used to design parallel algorithms for high-performance, scientific computing. It is intended for upper-level undergraduate students and graduate students who need to develop parallel codes with little or no previous introduction to parallel...

Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching (3rd Edition) (Pts. 1-4)

Addison Wesley, 1998

Robert Sedgewick has thoroughly rewritten and substantially expanded and updated his popular work to provide current and comprehensive coverage of important algorithms and data structures. Christopher Van Wyk and Sedgewick have developed new C++ implementations that both express the methods in a concise and direct manner, and...

Design and Analysis of Randomized Algorithms: Introduction to Design Paradigms

Springer, 2005

Randomization has become a standard approach in algorithm design. Efficiency and simplicity are the main features of randomized algorithms that often made randomization a miraculous springboard for solving complex problems in various applications. Especially in the areas of communication, cryptography, data management, and discrete...

Data Structures and Their Algorithms

Addison Wesley, 1991

Like all engineering activities, computer programming is both craft and science. Building a bridge or a computer program requires familiarity with the known techniques for the overall design of similar artifacts. And making intelligent choices among the available techniques and designs requires understanding of the mathematical principles...

Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition

Packt Publishing, 2018

Build a strong foundation of machine learning algorithms in 7 days

Key Features

Use Python and its wide array of machine learning libraries to build predictive models

Learn the basics of the 7 most widely used machine learning algorithms within a week

Know...

Hyperspectral Data Processing: Algorithm Design and Analysis

John Wiley & Sons, 2013

Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. Specifically, it treats hyperspectral image processing and hyperspectral signal processing as separate subjects in...

Data Structures & Algorithm Analysis in C++

Pearson Education, 2013

Data Structures and Algorithm Analysis in C++ is an advanced algorithms book that bridges the gap between traditional CS2 and Algorithms Analysis courses.

As the speed and power of computers increases, so does the need for effective programming and algorithm analysis. By approaching these skills in tandem, Mark Allen...

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