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Sparsity: Graphs, Structures, and Algorithms (Algorithms and Combinatorics)
Sparsity: Graphs, Structures, and Algorithms (Algorithms and Combinatorics)
This book offers a systematic study of sparse graphs and sparse finite structures. Although the notion of sparsity appears in various contexts and is typical of a fuzzy notion, the authors present a unifying classification of general classes of structures....
Statistical Analysis of Financial Data in R (Springer Texts in Statistics)
Statistical Analysis of Financial Data in R (Springer Texts in Statistics)

Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can...

Genetic Programming IV: Routine Human-Competitive Machine Intelligence
Genetic Programming IV: Routine Human-Competitive Machine Intelligence

Genetic Programming IV: Routine Human-Competitive Machine Intelligence presents the application of GP to a wide variety of problems involving automated synthesis of controllers, circuits, antennas, genetic networks, and metabolic pathways. The book describes fifteen instances where GP has created an entity...

Optics: Learning by Computing, with Examples Using Maple, MathCad®, Matlab®, Mathematica®, and Maple® (Undergraduate Texts in Contemporary Physics)
Optics: Learning by Computing, with Examples Using Maple, MathCad®, Matlab®, Mathematica®, and Maple® (Undergraduate Texts in Contemporary Physics)

This new edition is intended for a one semester course in optics for juniors and seniors in science and engineering. It uses scripts from Maple, MathCad, Mathematica, and MATLAB to provide a simulated laboratory where students can learn by exploration and discovery instead of passive absorption. The text covers all the standard...

Robustness and Complex Data Structures
Robustness and Complex Data Structures
Our journey towards this Festschrift started when realizing that our teacher, mentor, and friend Ursula Gather was going to celebrate her 60th birthday soon. As a researcher, lecturer, scientific advisor, board member, reviewer, editor, Ursula has had a wide impact...
ggplot2: Elegant Graphics for Data Analysis (Use R!)
ggplot2: Elegant Graphics for Data Analysis (Use R!)
ggplot2 is an R package for producing statistical, or data, graphics, but it is unlike most other graphics packages because it has a deep underlying grammar. This grammar, based on the Grammar of Graphics (Wilkinson, 2005), is composed of a set of independent components that can be composed in many different...
Linear Mixed-Effects Models Using R: A Step-by-Step Approach
Linear Mixed-Effects Models Using R: A Step-by-Step Approach
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)
Combinatorial Optimization: Theory and Algorithms (Algorithms and Combinatorics)

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.

...
Algorithms for Sparsity-Constrained Optimization (Springer Theses)
Algorithms for Sparsity-Constrained Optimization (Springer Theses)
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!)
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...
Algorithms in Invariant Theory (Texts & Monographs in Symbolic Computation)
Algorithms in Invariant Theory (Texts & Monographs in Symbolic Computation)

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
The Mathematica GuideBook for Numerics
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...
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