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Q&A | February 27, 2014

Rene Denfeld: IMG Powell’s Q&A: Rene Denfeld



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    The Enchanted

    Rene Denfeld 9780062285508

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Analysis for Computer Scientists: Foundations, Methods, and Algorithms (Undergraduate Topics in Computer Science)

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Analysis for Computer Scientists: Foundations, Methods, and Algorithms (Undergraduate Topics in Computer Science) Cover

 

Synopses & Reviews

Publisher Comments:

Mathematics and mathematical modelling are of central importance in computer science, and therefore it is vital that computer scientists are aware of the latest concepts and techniques. This concise and easy-to-read textbook/reference presents an algorithmic approach to mathematical analysis, with a focus on modelling and on the applications of analysis. Fully integrating mathematical software into the text as an important component of analysis, the book makes thorough use of examples and explanations using MATLAB, Maple, and Java applets. Mathematical theory is described alongside the basic concepts and methods of numerical analysis, supported by computer experiments and programming exercises, and an extensive use of figure illustrations. Topics and features: Thoroughly describes the essential concepts of analysis, covering real and complex numbers, trigonometry, sequences and series, functions, derivatives and antiderivatives, definite integrals and double integrals, and curvesProvides summaries and exercises in each chapter, as well as computer experimentsDiscusses important applications and advanced topics, such as fractals and L-systems, numerical integration, linear regression, and differential equationsPresents tools from vector and matrix algebra in the appendices, together with further information on continuityIncludes definitions, propositions and examples throughout the text, together with a list of relevant textbooks and references for further readingSupplementary software can be downloaded from the book's webpage at www.springer.comThis textbook is essential for undergraduate students in Computer Science. Written to specifically address the needs of computer scientists and researchers, it will also serve professionals looking to bolster their knowledge in such fundamentals extremely well. Dr. Michael Oberguggenberger is a professor in the Department of Civil Engineering Sciences at the University of Innsbruck, Austria. Dr. Alexander Ostermann is a professor in the Department of Mathematics at the University of Innsbruck, Austria.

Synopsis:

This textbook presents an algorithmic approach to mathematical analysis, with a focus on modelling and on the applications of analysis. It makes thorough use of examples and explanations using MATLAB, Maple and Java applets.

Synopsis:

This textbook presents an algorithmic approach to mathematical analysis, with a focus on modelling and on the applications of analysis. Fully integrating mathematical software into the text as an important component of analysis, the book makes thorough use of examples and explanations using MATLAB, Maple, and Java applets. Mathematical theory is described alongside the basic concepts and methods of numerical analysis, supported by computer experiments and programming exercises, and an extensive use of figure illustrations. Features: thoroughly describes the essential concepts of analysis; provides summaries and exercises in each chapter, as well as computer experiments; discusses important applications and advanced topics; presents tools from vector and matrix algebra in the appendices, together with further information on continuity; includes definitions, propositions and examples throughout the text; supplementary software can be downloaded from the book's webpage.

About the Author

Dr. Michael Oberguggenberger is a professor in the Department of Civil Engineering Sciences at the University of Innsbruck, Austria. Dr. Alexander Ostermann is a professor in the Department of Mathematics at the University of Innsbruck, Austria.

Table of Contents

Numbers Real-Valued Functions Trigonometry Complex Numbers Sequences and Series Limits and Continuity of Functions The Derivative of a Function Applications of the Derivative Fractals and L-Systems Antiderivatives Definite Integrals Taylor Series Numerical Integration Curves Scalar-Valued Functions of Two Variables Vector-Valued Functions of Two Variables Integration of Functions of Two Variables Linear Regression Differential Equations Systems of Differential Equations Numerical Solution of Differential Equations

Product Details

ISBN:
9780857294456
Author:
Oberguggenberger, Michael
Publisher:
Springer
Author:
Ostermann, Alexander
Location:
London
Subject:
Computer Science
Subject:
Algorithms
Subject:
Analysis
Subject:
MATLAB
Subject:
Maple
Subject:
Numerical Mathematics
Subject:
Math Applications in Computer Science
Subject:
Computational Mathematics and Numerical Analysis
Subject:
Appl.Mathematics/Computational Methods of Engineering
Subject:
Discrete Mathematics in Computer Science
Subject:
Discrete Mathematics in Computer Science <p>Presents an algorithmic approach to mathematical analysis, with a focus on modelling and on the applications of analysis</p><p>Makes thorough use of examples and explanations using MATLAB, Maple, and Java applet
Subject:
Personal Computers-General
Subject:
Data processing
Subject:
The Arts
Subject:
Computer science_xMathematics
Subject:
Engineering mathematics
Subject:
Computational complexity
Copyright:
Edition Description:
2011
Series:
Undergraduate Topics in Computer Science
Publication Date:
20110429
Binding:
TRADE PAPER
Language:
English
Pages:
337
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Reference » Science Reference » General
Science and Mathematics » Mathematics » Advanced
Science and Mathematics » Mathematics » Computer
Science and Mathematics » Mathematics » Foundations and Logic
Science and Mathematics » Mathematics » Introduction

Analysis for Computer Scientists: Foundations, Methods, and Algorithms (Undergraduate Topics in Computer Science) New Trade Paper
0 stars - 0 reviews
$45.50 In Stock
Product details 337 pages Springer - English 9780857294456 Reviews:
"Synopsis" by , This textbook presents an algorithmic approach to mathematical analysis, with a focus on modelling and on the applications of analysis. It makes thorough use of examples and explanations using MATLAB, Maple and Java applets.
"Synopsis" by , This textbook presents an algorithmic approach to mathematical analysis, with a focus on modelling and on the applications of analysis. Fully integrating mathematical software into the text as an important component of analysis, the book makes thorough use of examples and explanations using MATLAB, Maple, and Java applets. Mathematical theory is described alongside the basic concepts and methods of numerical analysis, supported by computer experiments and programming exercises, and an extensive use of figure illustrations. Features: thoroughly describes the essential concepts of analysis; provides summaries and exercises in each chapter, as well as computer experiments; discusses important applications and advanced topics; presents tools from vector and matrix algebra in the appendices, together with further information on continuity; includes definitions, propositions and examples throughout the text; supplementary software can be downloaded from the book's webpage.
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