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science, bioinformatics, finance, marketing, engineering, architecture and design. This book is a comprehensive introduction to natural;
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This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of modern numerical;
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This introduction to the mathematical foundations and theory of distributed computing is theoretical in nature, describing algorithms and;
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This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of contemporary;
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. Introduction to Parallel Algorithms covers foundations of parallel computing; parallel algorithms for trees and graphs; parallel algorithms for sorting;
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used in cloud computing. After a general introduction to the field, the text covers resource management, including scheduling algorithms;
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used in cloud computing. After a general introduction to the field, the text covers resource management, including scheduling algorithms;
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as an introduction to both the theory and practice of scientific computing, with each chapter presenting the basic algorithms that serve as;
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applying the concepts to the real world, students will understand the power of computers as problem solving tools and learn to think like;
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Assuming fundamental programming skills in Java, Introduction to Data Structures and Algorithms with Java begins by introducing the concept;
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These volumes present a practical introduction to computing spline functions, the fundamental tools for fitting curves and surfaces;
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These volumes present a practical introduction to computing spline functions, the fundamental tools for fitting curves and surfaces;
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, machine learning and compressed sensing. This volume offers a comprehensive and well-structured introduction to brain and nature-inspired learning;
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This book provides a thorough and careful introduction to the theory and practice of scientific computing at an elementary, yet rigorous;
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Together with its compagnion volume this book presents a practical introduction to computing spline functions, the fundamental tools for;
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This textbook provides an introduction to Scientific Computing and algorithms that help solve computational problems in science and;
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? Scientific Computing for Scientists and Engineers covers: An introduction to a wide range of numerical methods for linear systems, eigenvalue;
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introduction and a practical guide to nature-based computational approaches that will find numerous applications in a variety of growing fields;
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in physics. This introduction to quantum algorithms is concise but comprehensive, covering many key algorithms. It is mathematically rigorous but;
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relates to many existing subfields of computer science, especially software engineering. It describes architectures and algorithms for self-aware;
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ONE-VOLUME INTRODUCTION TO QUANTUM COMPUTING Clearly explains core concepts, terminology, and techniques Covers the;
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. This book constitutes an introduction to distributed computing and is suitable for advanced undergraduate students or graduate students;
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Parallel and Distributed Computing Applications examines various dimensions of parallel and distributed computing applications along with;
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This book provides a comprehensive introduction to the application of artificial intelligence in social computing, from fundamental data;
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This book provides a comprehensive introduction to the application of artificial intelligence in social computing, from fundamental data;
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biometric computing works to research paradigms and gradually moves towards its advancement. This book is divided into three parts that comprises;
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