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 MissouriSt. 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 MissouriSt. Louis Libraries.
This item is available to borrow from 1 library branch.
 Summary
 "This easytofollow 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 Lsystems, 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, secondorder 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 undergraduatelevel courses on numerical analysis, and an ideal selfstudy 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 easytofollow 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 Lsystems, 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, secondorder 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 undergraduatelevel courses on numerical analysis, and an ideal selfstudy 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 faexternallinksquare fafw"></i> Data from <span resource="http://link.umsl.edu/portal/Analysisforcomputerscientistsfoundations/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/Analysisforcomputerscientistsfoundations/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 MissouriSt. Louis Libraries</a></span></span></span></span></div>