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Design and Analysis of Algorithms

The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives;

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Algorithm Design PNIE

Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range;

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Software Design for Six Sigma

This proposal constitutes an algorithm of design applying the design for six sigma thinking, tools, and philosophy to software design. The;

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Pearls of Functional Algorithm Design

Richard Bird takes a radical approach to algorithm design, namely, design by calculation. These 30 short chapters each deal with a;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the;

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Automated Design of Machine Learning and Search Algorithms

This book presents recent advances in automated machine learning (AutoML) and automated algorithm design and indicates the future;

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Algorithm and Data Structures

use particular data structure and algorithm design techniques in the context of their own work.The goal of this book is to convey this;

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Algorithm Design

Engineering, a text designed to provide a comprehensive introduction to the design, implementation and analysis of computer algorithms and data;

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Design and Analysis of Algorithm

DESIGN AND ANALYSIS OF ALGORITHM uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet;

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Computer Algorithms

, etc. They may also be classified as divide and conquer algorithm, search algorithm, randomized algorithm, etc. depending on the design;

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Algorithms

This book emphasizes the creative aspects of algorithm design by examining steps used in the process of algorithms development. The heart;

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Teaching Learning Based Optimization Algorithm

Describing a new optimization algorithm, the Teaching-Learning-Based Optimization (TLBO), in a clear and lucid style, this book;

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Deep Learning on Edge Computing Devices

Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep;

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Algorithm Design with Haskell

This book is devoted to five main principles of algorithm design: divide and conquer, greedy algorithms, thinning, dynamic programming, and;

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Design and Analysis of Algorithms

Provides the design techniques of algorithms in a simple and straightforward manner. Each concept is explained with an example that helps;

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Data Structures and Algorithms

, allowing readers to compare different implementations of the same concept. Algorithm design techniques are also stressed and basic algorithm;

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Analysis and Design of Algorithms

Analysis and Design of Algorithms provides a structured view of algorithm design techniques in a concise, easy-to-read manner. The book;

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Analysis and Design of Algorithms

Analysis and Design of Algorithms provides a structured view of algorithm design techniques in a concise, easy-to-read manner. The book;

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Analysis and Design of Algorithms

Analysis and Design of Algorithms provides a structured view of algorithm design techniques in a concise, easy-to-read manner. The book;

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Learning in Energy-Efficient Neuromorphic Computing - Algorithm and Architecture Co-Design

Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning;

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Iterative Learning Control

This book develops a coherent and quite general theoretical approach to algorithm design for iterative learning control based on the use;

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The Algorithm Design Manual

My absolute favorite for this kind of interview preparation is Steven Skiena's The Algorithm Design Manual. More than any other book it;

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The Algorithm Design Manual

My absolute favorite for this kind of interview preparation is Steven Skiena's The Algorithm Design Manual. More than any other book it;

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Algorithm Portfolios

for starting designing and implementing algorithm portfolios. The book familiarizes the reader with algorithm portfolios through current;

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The Everyday Life of an Algorithm

on the power and opacity of algorithms. In this book we have unique access to the algorithm's design, development and testing, but can also;

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