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Specifying Software: A Hands-On Introduction
Specifying Software: A Hands-On Introduction
This book was written to support a short course in the second or third year of an undergraduate computer science, software engineering, or software design program. The prerequisites are fairly modest: some programming experience (ideally in С or С++ or a related language such as Java) and some exposure to the most basic...
Essentials of Computational Chemistry: Theories and Models
Essentials of Computational Chemistry: Theories and Models

Essentials of Computational Chemistry provides a balanced introduction to this dynamic subject.  Suitable for both experimentalists and theorists, a wide range of samples and applications are included drawn from all key areas.  The book carefully leads the reader thorough the necessary equations providing information explanations...

Approximate Kalman Filtering (Approximations and Decompositions)
Approximate Kalman Filtering (Approximations and Decompositions)

Kalman filtering algorithm gives optimal (linear, unbiased and minimum error-variance) estimates of the unknown state vectors of a linear dynamic-observation system, under the regular conditions such as perfect data information; complete noise statistics; exact linear modelling; ideal will-conditioned matrices in computation and strictly...

Permutation Group Algorithms (Cambridge Tracts in Mathematics)
Permutation Group Algorithms (Cambridge Tracts in Mathematics)

Permutation group algorithms are indispensable in the proofs of many deep results, including the construction and study of sporadic finite simple groups. This work describes the theory behind permutation group algorithms, up to the most recent developments based on the classification of finite simple groups. Rigorous complexity estimates,...

Genetic Programming Theory and Practice X (Genetic and Evolutionary Computation)
Genetic Programming Theory and Practice X (Genetic and Evolutionary Computation)

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.

Topics in this volume include: evolutionary constraints,...

Harmony Search Algorithm: Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) (Advances in Intelligent Systems and Computing)
Harmony Search Algorithm: Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) (Advances in Intelligent Systems and Computing)

This book presents state-of-the-art technical contributions based around one of the most successful evolutionary optimization algorithms published to date: Harmony Search. Contributions span from novel technical derivations of this algorithm to applications in the broad fields of civil engineering, energy, transportation &...

Computational Physics: Problem Solving with Python
Computational Physics: Problem Solving with Python
The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming.

This upper-division text provides an
...
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. “Big data,” “data science,” and “machine learning” have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science...
Data Mining Using Grammar Based Genetic Programming and Applications
Data Mining Using Grammar Based Genetic Programming and Applications

Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the reader, including an overview of data mining,...

Perceptual Computing: Aiding People in Making Subjective Judgments
Perceptual Computing: Aiding People in Making Subjective Judgments

Explains for the first time how "computing with words" can aidin making subjective judgments

Lotfi Zadeh, the father of fuzzy logic, coined the phrase"computing with words" (CWW) to describe a methodology in which theobjects of computation are words and propositions drawn from anatural language....

The C++ Programming Language (hardcover) (4th Edition)
The C++ Programming Language (hardcover) (4th Edition)

The new C++11 standard allows programmers to express ideas more clearly, simply, and directly, and to write faster, more efficient code. Bjarne Stroustrup, the designer and original implementer of C++, has reorganized, extended, and completely rewritten his definitive reference and tutorial for programmers who want to use...

Multivariate Time Series Analysis: With R and Financial Applications
Multivariate Time Series Analysis: With R and Financial Applications

An accessible guide to the multivariate time series tools used in numerous real-world applications

Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a...

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