The Resource Analysis for computer scientists : foundations, methods, and algorithms, Michael Oberguggenberger, Alexander Ostermann ; translated in collaboration with Elisabeth Bradley
Analysis for computer scientists : foundations, methods, and algorithms, Michael Oberguggenberger, Alexander Ostermann ; translated in collaboration with Elisabeth Bradley
Resource Information
The item Analysis for computer scientists : foundations, methods, and algorithms, Michael Oberguggenberger, Alexander Ostermann ; translated in collaboration with Elisabeth Bradley represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Analysis for computer scientists : foundations, methods, and algorithms, Michael Oberguggenberger, Alexander Ostermann ; translated in collaboration with Elisabeth Bradley represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.
This item is available to borrow from 1 library branch.
- Summary
- "This easy-to-follow textbook/reference presents a concise introduction to mathematical analysis from an algorithmic point of view, with a particular focus on applications of analysis and aspects of mathematical modelling. The text describes the mathematical theory alongside the basic concepts and methods of numerical analysis, enriched by computer experiments using MATLAB, Python, Maple, and Java applets. This fully updated and expanded new edition also features an even greater number of programming exercises. Topics and features: describes the fundamental concepts in analysis, covering real and complex numbers, trigonometry, sequences and series, functions, derivatives, integrals, and curves; discusses important applications and advanced topics, such as fractas and L-systems, numerical integration, linear regression, and differential equations; presents tools from vector and matrix algebra in the appendices, together with further information on continuity; includes added material on hyperbolic functions, curves and surfaces in space, second-order differential equations, and the pendulum equation (new); contains experiments, exercises, definitions, and propositions throughout the text; supplies programming examples in Python, inaddition to MATLAB (new); provides supplementary resources at an associated website, including Java applets, code source files, and links to interactive online learning material. Addressing the core needs of computer science students and researchers, this clearly written textbook is an essential resource for undergraduate-level courses on numerical analysis, and an ideal self-study tool for professionals seeking to enhance their analysis skills"--Back cover
- Language
- eng
- Edition
- Second edition.
- Extent
- xii, 378 pages
- Note
- Previous edition: 2011
- Isbn
- 9783319911540
- Label
- Analysis for computer scientists : foundations, methods, and algorithms
- Title
- Analysis for computer scientists
- Title remainder
- foundations, methods, and algorithms
- Statement of responsibility
- Michael Oberguggenberger, Alexander Ostermann ; translated in collaboration with Elisabeth Bradley
- Language
- eng
- Summary
- "This easy-to-follow textbook/reference presents a concise introduction to mathematical analysis from an algorithmic point of view, with a particular focus on applications of analysis and aspects of mathematical modelling. The text describes the mathematical theory alongside the basic concepts and methods of numerical analysis, enriched by computer experiments using MATLAB, Python, Maple, and Java applets. This fully updated and expanded new edition also features an even greater number of programming exercises. Topics and features: describes the fundamental concepts in analysis, covering real and complex numbers, trigonometry, sequences and series, functions, derivatives, integrals, and curves; discusses important applications and advanced topics, such as fractas and L-systems, numerical integration, linear regression, and differential equations; presents tools from vector and matrix algebra in the appendices, together with further information on continuity; includes added material on hyperbolic functions, curves and surfaces in space, second-order differential equations, and the pendulum equation (new); contains experiments, exercises, definitions, and propositions throughout the text; supplies programming examples in Python, inaddition to MATLAB (new); provides supplementary resources at an associated website, including Java applets, code source files, and links to interactive online learning material. Addressing the core needs of computer science students and researchers, this clearly written textbook is an essential resource for undergraduate-level courses on numerical analysis, and an ideal self-study tool for professionals seeking to enhance their analysis skills"--Back cover
- Cataloging source
- UKMGB
- http://library.link/vocab/creatorDate
- 1953-
- http://library.link/vocab/creatorName
- Oberguggenberger, Michael
- Dewey number
- 004.0151
- Illustrations
- illustrations
- Index
- index present
- LC call number
- QA76.9.M35
- LC item number
- O24 2018
- Literary form
- non fiction
- Nature of contents
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
- Ostermann, Alexander
- Series statement
- Undergraduate topics in computer science
- http://library.link/vocab/subjectName
-
- Computer science
- Mathematical analysis
- Computer science
- Label
- Analysis for computer scientists : foundations, methods, and algorithms, Michael Oberguggenberger, Alexander Ostermann ; translated in collaboration with Elisabeth Bradley
- Note
- Previous edition: 2011
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Control code
- 1064450313
- Dimensions
- 24 cm.
- Edition
- Second edition.
- Extent
- xii, 378 pages
- Isbn
- 9783319911540
- Lccn
- 2018941530
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations (black and white)
- System control number
- (OCoLC)1064450313
- Label
- Analysis for computer scientists : foundations, methods, and algorithms, Michael Oberguggenberger, Alexander Ostermann ; translated in collaboration with Elisabeth Bradley
- Note
- Previous edition: 2011
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Control code
- 1064450313
- Dimensions
- 24 cm.
- Edition
- Second edition.
- Extent
- xii, 378 pages
- Isbn
- 9783319911540
- Lccn
- 2018941530
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations (black and white)
- System control number
- (OCoLC)1064450313
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.umsl.edu/portal/Analysis-for-computer-scientists--foundations/jqD1mJV_R4k/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.umsl.edu/portal/Analysis-for-computer-scientists--foundations/jqD1mJV_R4k/">Analysis for computer scientists : foundations, methods, and algorithms, Michael Oberguggenberger, Alexander Ostermann ; translated in collaboration with Elisabeth Bradley</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.umsl.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.umsl.edu/">University of Missouri-St. Louis Libraries</a></span></span></span></span></div>
