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Mathematics of Discrete Structures for Computer Science
Mathematics of Discrete Structures for Computer Science

Mathematics plays a key role in computer science, some researchers would consider computers as nothing but the physical embodiment of mathematical systems. And whether you are designing a digital circuit, a computer program or a new programming language, you need mathematics to be able to reason about the design -- its correctness,...

Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)
Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)

Time Series Analysis and Its Applications presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception...

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource...

Graphs, Networks and Algorithms (Algorithms and Computation in Mathematics)
Graphs, Networks and Algorithms (Algorithms and Computation in Mathematics)

From the reviews of the previous editions

".... The book is a first class textbook and seems to be indispensable for everybody who has to teach combinatorial optimization. It is very helpful for students, teachers, and researchers in this area. The author finds a striking synthesis of nice and interesting...

Nature-Inspired Algorithms for Optimisation (Studies in Computational Intelligence)
Nature-Inspired Algorithms for Optimisation (Studies in Computational Intelligence)

Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured...

Evolutionary Algorithms and Chaotic Systems (Studies in Computational Intelligence)
Evolutionary Algorithms and Chaotic Systems (Studies in Computational Intelligence)

This book discusses the mutual intersection of two fields of research: evolutionary computation, which can handle tasks such as control of various chaotic systems, and deterministic chaos, which is investigated as a behavioral part of evolutionary algorithms.

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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)
Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)
Data Mining and Anlaytics are the foundation technologies for the new knowledge based world where we build models from data and databases to understand and explore our world. Data mining can improve our business, improve our government, and improve our life and with the right tools, any one can begin to explore this new technology, on the path...
Principles of Distributed Database Systems
Principles of Distributed Database Systems
This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels. The material concentrates on fundamental theories as well as techniques and algorithms. The advent of the Internet and the World Wide Web, and, more recently, the emergence of cloud computing and streaming data applications, has forced...
Mathematical Logic for Computer Science: Third Edition
Mathematical Logic for Computer Science: Third Edition
This book approaches mathematics based on the needs of computer science students, teaching logic by means of the method of semantic tableaux. The third edition is entirely rewritten, and includes new chapters on SAT solvers and model checking....
Network Algebra (Discrete Mathematics and Theoretical Computer Science)
Network Algebra (Discrete Mathematics and Theoretical Computer Science)

Network algebra considers the algebraic study of networks and their behavior. It approaches the models in a sharp and simple manner. This book takes an integrated view of a broad range of applications, varying from concrete hardware-oriented models to high-level software-oriented models.

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Agile Software Engineering (Undergraduate Topics in Computer Science)
Agile Software Engineering (Undergraduate Topics in Computer Science)
This textbook presents the current issues in software development methods. Special emphasis is placed on agile software development, being one of the mainstream paradigms for the management of software projects. Features and topics: (1) Examines the Agile manifesto and its implications. (2) Discusses the delivery of software projects on time and...
Simulation and Inference for Stochastic Differential Equations: With R Examples (Springer Series in Statistics)
Simulation and Inference for Stochastic Differential Equations: With R Examples (Springer Series in Statistics)

This book covers a highly relevant and timely topic that is of wide interest, especially in finance, engineering and computational biology. The introductory material on simulation and stochastic differential equation is very accessible and will prove popular with many readers. While there are several recent texts available that cover...

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