Learn IT - Springer

Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics)

Springer, 2013

This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatistics, Engineering, Economics,...

Adaptive Filtering (The Springer International Series in Engineering and Computer Science)

Springer, 2012

The field of Digital Signal Processing has developed so fast in the last two decades that it can be found in the graduate and undergraduate programs of most universities. This development is related to the growing available techno logies for implementing digital signal processing algorithms. The tremendous growth of development in the...

Migrating from Pascal to C++ (Undergraduate Texts in Computer Science)

Springer, 2013

Many students and programmers familiar with Pascal are now looking to upgrade their skills to a well-structured object-oriented programming language such as C++. This textbook provides such an "upgrade path" by presenting a course on C++ in the spirit of structured programming. Both authors teach this material to a wide variety of...

Design by Evolution: Advances in Evolutionary Design (Natural Computing Series)

Springer, 2008

Evolution is Nature’s design process. The natural world is full of wonderful examples of its successes, from engineering design feats such as powered flight, to the design of complex optical systems such as the mammalian eye, to the merely stunningly beautiful designs of orchids or birds of paradise. With increasing...

Algorithms in Real Algebraic Geometry (Algorithms and Computation in Mathematics, Vol. 10)

Springer, 2006

This is the first graduate textbook on the algorithmic aspects of real algebraic geometry. The main ideas and techniques presented form a coherent and rich body of knowledge. Mathematicians will find relevant information about the algorithmic aspects. Researchers in computer science and engineering will find the required mathematical...

Scientific Computing with MATLAB and Octave (Texts in Computational Science and Engineering)

Springer, 2010

This textbook is an introduction to Scientific Computing, in which several numerical methods for the computer-based solution of certain classes of mathematical problems are illustrated. The authors show how to compute the zeros or the integrals of continuous functions, solve linear systems, approximate functions using polynomials and...

Mathematical and Engineering Methods in Computer Science: 8th International Doctoral Workshop, MEMICS 2012, Znojmo, Czech Republic, October 25-28, ... Papers (Lecture Notes in Computer Science)

Springer, 2013

This volume contains the post-proceedings of the 8th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science, MEMICS 2012, held in Znojmo, Czech Republic, in October, 2012. The 13 thoroughly revised papers were carefully selected out of 31 submissions and are presented together with 6 invited papers. The topics covered by...

Tools and Algorithms for the Construction and Analysis of Systems (Lecture Notes in Computer Science)

Springer, 2007

ETAPS 2007 is the tenth instance of the European Joint Conferences on Theory and Practice of Software, and thus a cause for celebration.

The events that comprise ETAPS address various aspects of the system development process, including specification, design, implementation, analysis and...

Programming with Data: A Guide to the S Language (Lecture Notes in Economics and)

Springer, 2004

Here is a thorough and authoritative guide to the latest version of the S language and its programming environment. Programming With Data describes a new and greatly extended version of S, written by the chief designer of the language itself. It is a guide to the complete programming process, starting from simple, interactive use, and continuing...

Markov Chains: Models, Algorithms and Applications (International Series in Operations Research & Management Science)

Springer, 2005

Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order discussions are multivariate models, higher-order...

Service-Oriented Crowdsourcing: Architecture, Protocols and Algorithms (SpringerBriefs in Computer Science)

Springer, 2012

At a fundamental level, service-oriented crowdsourcing applies the principles of service-oriented architecture (SOA) to the discovery, composition and selection of a scalable human workforce. Service-Oriented Crowdsourcing: Architecture, Protocols and Algorithms provides both an analysis of contemporary crowdsourcing systems, such as Amazon...

Robustness and Complex Data Structures

Springer, 2013

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...

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