Learn IT - Springer

Low Rank Approximation: Algorithms, Implementation, Applications (Communications and Control Engineering)

Springer, 2014

This book details the theory, algorithms, and applications of structured low-rank approximation, and presents efficient local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel and Sylvester structured problems and more....

Algorithm Theory - SWAT 2002: 8th Scandinavian Workshop on Algorithm Theory, Turku, Finland, July 3-5, 2002 Proceedings (Lecture Notes in Computer Science)

Springer, 2002

This book constitutes the refereed proceedings of the 8th Scandinavian Workshop on Algorithm Theory, SWAT 2002, held in Turku, Finland, in July 2002.
The 43 revised full papers presented together with two invited contributions were carefully reviewed and selected from 103 submissions. The papers are organized in topical sections on...

Linear Mixed-Effects Models Using R: A Step-by-Step Approach

Springer, 2013

Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data include clustered observations, repeated measurements, longitudinal measurements, multivariate observations, etc.

The aim of our book is to help readers in fitting LMMs using R...

Combinatorial Optimization: Theory and Algorithms (Algorithms and Combinatorics)

Springer, 2005

This well-written textbook on combinatorial optimization puts special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. The book contains complete (but concise) proofs, as well as many deep results, some of which have not appeared in any previous books.

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Algorithms for Sparsity-Constrained Optimization (Springer Theses)

Springer, 2013

This thesis demonstrates techniques that provide faster and more accurate solutions to a variety of problems in machine learning and signal processing. The author proposes a "greedy" algorithm, deriving sparse solutions with guarantees of optimality. The use of this algorithm removes many of the inaccuracies that occurred with the use...

Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)

Springer, 2011

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...

Algorithms in Invariant Theory (Texts & Monographs in Symbolic Computation)

Springer, 2008

This book is both an easy-to-read textbook for invariant theory and a challenging research monograph that introduces a new approach to the algorithmic side of invariant theory. Students will find the book an easy introduction to this "classical and new" area of mathematics. Researchers in mathematics, symbolic computation,...

The Mathematica GuideBook for Numerics

Springer, 2007

Computers were initially developed to expedite numerical calculations. A newer, and in the long run, very fruitful field is the manipulation of symbolic expressions. When these symbolic expressions represent mathematical entities, this field is generally called computer algebra [8]. Computer algebra begins with relatively...

Mathematics of Discrete Structures for Computer Science

Springer, 2012

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,...

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011, Proceedings (Lecture Notes in Computer Science)

Springer, 2011

This book constitutes the refereed proceedings of the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, R.S.F.D.Gr.C. 2011, held in Moscow, Russia in June 2011. The 49 revised full papers presented together with 5 invited and 2 tutorial papers were carefully reviewed and selected from a total of 83...

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

Springer, 2010

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...

Guide to Medical Image Analysis: Methods and Algorithms (Advances in Computer Vision and Pattern Recognition)

Springer, 2012

This book presents a comprehensive overview of medical image analysis. Practical in approach, the text is uniquely structured by potential applications. Features: presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviations; describes a range of common imaging techniques,...

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