Learn IT - Springer

Computational Geometry: Algorithms and Applications

Springer, 2010

Computational geometry emerged from the field of algorithms design and analysis in the late 1970s. It has grown into a recognized discipline with its own journals, conferences, and a large community of active researchers. The success of the field as a research discipline can on the one hand be explained from the beauty of the...

Advanced Control of Industrial Processes: Structures and Algorithms (Advances in Industrial Control)

Springer, 2006

This book presents the concepts and algorithms of advanced industrial process control and on-line optimization within the framework of a multilayer structure. It describes the interaction of three separate layers of process control: direct control, set-point control, and economic optimization. The book features illustrations of the...

Algorithmic Algebra (Monographs in Computer Science)

Springer, 1993

Algorithmic Algebra studies some of the main algorithmic tools of computer algebra, covering such topics as Gröbner bases, characteristic sets, resultants and semialgebraic sets. The main purpose of the book is to acquaint advanced undergraduate and graduate students in computer science, engineering and mathematics with the...

Matlab® for Engineers Explained

Springer, 2012

Based on the new 'guided-tour' concept that eliminates the start-up transient encountered in learning new programming languages, this beginner's introduction to MATLAB teaches a sufficient subset of the functionality and gives the reader practical experience on how to find more information. Recent developments in MATLAB to advance...

Data Mining for Social Network Data (Annals of Information Systems)

Springer, 2010

Driven by counter-terrorism efforts, marketing analysis, and the explosion in on-line social networking, data mining has moved to the top of the agenda in information science. This book presents a broad range of recent studies in social networking analysis.

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Theoretical Computer Science: 6th IFIP WG 2.2 International Conference, TCS 2010, Held as a Part of WCC 2010, Brisbane, Australia, September 20-23, ... in Information and Communication Technology)

Springer, 2010

Thisvolumecontainstheinvitedandregularpaperspresentedat TCS 2010,the 6thIFIP International Conference on Theoretical Computer Science, organised by IFIP Tech- cal Committee 1 (Foundations of Computer Science) and IFIP WG 2.2 (Formal - scriptions of Programming Concepts) in association with SIGACT and EATCS. TCS 2010 was part of the World...

Maple and Mathematica: A Problem Solving Approach for Mathematics

Springer, 2009

In the history of mathematics there are many situations in which calculations were performed incorrectly for important practical applications. Let us look at some examples, the history of computing the number π began in Egypt and Babylon about 2000 years BC, since then many mathematicians have calculated π (e.g.,...

Systems Engineering Agile Design Methodologies

Springer, 2013

This book examines the paradigm of the engineering design process. The author discusses agile systems and engineering design. The book captures the entire design process (function bases), context, and requirements to affect real reuse. It provides a methodology for an engineering design process foundation for modern and future systems design....

Forest Analytics with R: An Introduction (Use R!)

Springer, 2010

R is an open-source and free software environment for statistical computing and graphics. R compiles and runs on a wide variety of UNIX platforms (e.g., GNU/Linux and FreeBSD), Windows, and Mac OSX. Since the late 1990s, R has been developed by hundreds of contributors and new capabilities are added each month....

Randomized Algorithms for Analysis and Control of Uncertain Systems: With Applications (Communications and Control Engineering)

Springer, 2012

The presence of uncertainty in a system description has always been a critical issue in control. The main objective of Randomized Algorithms for Analysis and Control of Uncertain Systems, with Applications (Second Edition) is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of...

Introduction to Evolutionary Computing (Natural Computing Series)

Springer, 2008

The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to...

Data Mining in Bioinformatics (Advanced Information and Knowledge Processing)

Springer, 2004

The aim of this book is to introduce the reader to some of the best techniques for data mining in bioinformatics in the hope that the reader will build on them to make new discoveries on his or her own. The book contains twelve chapters in four parts, namely, overview, sequence and structure alignment, biological...

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