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Practical Algorithms for Programmers

Most algorithm books today are either academic textbooks or rehashes of the same tired set of algorithms. Practical Algorithms for;

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A Concise and Practical Introduction to Programming Algorithms in Java

A Concise and Practical Introduction to Programming Algorithms in Java has two main goals. The first is for novice programmers to learn;

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Algorithms For Image Processing And Computer Vision

A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have;

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Data Structures and Algorithms Using C#

use data structures and algorithms plus the first comprehensive reference for C# implementation of data structures and algorithms found in the;

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Data Structures and Algorithms Using C#

use data structures and algorithms plus the first comprehensive reference for C# implementation of data structures and algorithms found in the;

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Algorithms In Java

Robert Sedgewick, along with Donald Knuth, is one of the very few people with a world-wide reputation for their contributions to the field;

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The PC Graphics Handbook

address: 2D and 3D graphics programming for Windows and DOS Device-independent graphics Mathematics for computer graphics Graphics;

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Programming Algorithms in Lisp

-world engineering considerations and constraints that influence the programs that use these algorithms. It includes practical use cases of the;

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Algorithms in C

algorithms, which are increasingly critical for a wide range of applications, such as network connectivity, circuit design, scheduling, transaction;

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Programming Algorithms in Lisp

real-world engineering considerations and constraints that influence the programs that use these algorithms. It includes practical use cases;

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Grokking Algorithms

DESCRIPTION Algorithms nothing more than step-by-step procedures for solving problems and most algorithms used by programmers have already;

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Algorithms in Java, Parts 1-4

For the first time, Sedgewick's seminal work on algorithms and data structures is available with implementations in Java. Michael;

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Java Number Cruncher

This book introduces Java programmers to numerical computing. It contains clear, non-theoretical explanations of practical numerical;

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Algorithm Design

methods for the engineering of algorithms. Market: Computer Scientists; Programmers.;

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The Art of Concurrency

If you're looking to take full advantage of multi-core processors with concurrent programming, this practical book provides the knowledge;

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Problems on Algorithms

With approximately 2500 problems, this book provides a collection of practical problems on the basic and advanced data structures, design;

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Algrthms C++ Prts 1-4

the methods in a concise and direct manner, and also provide programmers with the practical means to test them on real applications. Many;

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Randomized Algorithms

For many applications a randomized algorithm is either the simplest algorithm available, or the fastest, or both. This tutorial presents;

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Mathematics and Programming for Machine Learning with R

Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R;

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Mathematics and Programming for Machine Learning with R

Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R;

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STL for C++ Programmers

of C & C++ Users (ACCU) STL for C++ programmers Leen Ammeraal The Standard Template Library (STL) provides many useful and generally applicable;

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Data Mining and Knowledge Discovery for Geoscientists

geoscientists have no practical knowledge or experience using data mining techniques. For the few that do, they typically lack expertise in using data;

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Java Collections

A unique, practical approach to working with collection classes in Java 2 Software developers new to Java will find the practical, software;

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Shared-Memory Parallelism Can Be Simple, Fast, and Scalable

practical, as well as a work-efficient, polylogarithmic-depth, and cache-efficient shared-memory algorithm for triangle computations that achieves a;

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Shared-Memory Parallelism Can Be Simple, Fast, and Scalable

practical, as well as a work-efficient, polylogarithmic-depth, and cache-efficient shared-memory algorithm for triangle computations that achieves a;

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Agile Artificial Intelligence in Pharo

way, you'll learn neural net fundamentals to set you up for practical examples such as the traveling salesman problem and cover genetic;

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AutoLISP in Plain English: A Practical Guide for Non-Programmers

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