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The Resource Analysis for Computer Scientists : Foundations, Methods, and Algorithms, by Michael Oberguggenberger, Alexander Ostermann, (electronic resource)
Analysis for Computer Scientists : Foundations, Methods, and Algorithms, by Michael Oberguggenberger, Alexander Ostermann, (electronic resource)
Resource Information
The item Analysis for Computer Scientists : Foundations, Methods, and Algorithms, by Michael Oberguggenberger, Alexander Ostermann, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.This item is available to borrow from all library branches.
Resource Information
The item Analysis for Computer Scientists : Foundations, Methods, and Algorithms, by Michael Oberguggenberger, Alexander Ostermann, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.
This item is available to borrow from all library branches.
 Summary
 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 easytoread 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 curves Provides summaries and exercises in each chapter, as well as computer experiments Discusses important applications and advanced topics, such as fractals 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 definitions, propositions and examples throughout the text, together with a list of relevant textbooks and references for further reading Supplementary software can be downloaded from the book’s webpage at www.springer.com This 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
 Language

 eng
 eng
 Edition
 1st ed. 2011.
 Extent
 1 online resource (337 p.)
 Note
 Description based upon print version of record
 Contents

 Numbers
 RealValued Functions
 Trigonometry
 Complex Numbers
 Sequences and Series
 Limits and Continuity of Functions
 The Derivative of a Function
 Applications of the Derivative
 Fractals and LSystems
 Antiderivatives
 Definite Integrals
 Taylor Series
 Numerical Integration
 Curves
 ScalarValued Functions of Two Variables
 VectorValued Functions of Two Variables
 Integration of Functions of Two Variables
 Linear Regression
 Differential Equations
 Systems of Differential Equations
 Numerical Solution of Differential Equations
 Isbn
 9780857294463
 Label
 Analysis for Computer Scientists : Foundations, Methods, and Algorithms
 Title
 Analysis for Computer Scientists
 Title remainder
 Foundations, Methods, and Algorithms
 Statement of responsibility
 by Michael Oberguggenberger, Alexander Ostermann
 Language

 eng
 eng
 Summary
 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 easytoread 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 curves Provides summaries and exercises in each chapter, as well as computer experiments Discusses important applications and advanced topics, such as fractals 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 definitions, propositions and examples throughout the text, together with a list of relevant textbooks and references for further reading Supplementary software can be downloaded from the book’s webpage at www.springer.com This 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
 http://library.link/vocab/creatorName
 Oberguggenberger, Michael
 Dewey number
 004.0151
 http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut

 UTHWgWBGVj4
 Oyq8QbZEEks
 Language note
 English
 LC call number
 QA76.9.M35
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorName
 Ostermann, Alexander.
 Series statement
 Undergraduate Topics in Computer Science,
 http://library.link/vocab/subjectName

 Computer science
 Computer science
 Engineering mathematics
 Computational complexity
 Math Applications in Computer Science
 Computational Mathematics and Numerical Analysis
 Mathematical and Computational Engineering
 Discrete Mathematics in Computer Science
 Label
 Analysis for Computer Scientists : Foundations, Methods, and Algorithms, by Michael Oberguggenberger, Alexander Ostermann, (electronic resource)
 Note
 Description based upon print version of record
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code
 cr
 Content category
 text
 Content type code
 txt
 Contents
 Numbers  RealValued Functions  Trigonometry  Complex Numbers  Sequences and Series  Limits and Continuity of Functions  The Derivative of a Function  Applications of the Derivative  Fractals and LSystems  Antiderivatives  Definite Integrals  Taylor Series  Numerical Integration  Curves  ScalarValued Functions of Two Variables  VectorValued Functions of Two Variables  Integration of Functions of Two Variables  Linear Regression  Differential Equations  Systems of Differential Equations  Numerical Solution of Differential Equations
 Dimensions
 unknown
 Edition
 1st ed. 2011.
 Extent
 1 online resource (337 p.)
 Form of item
 online
 Isbn
 9780857294463
 Media category
 computer
 Media type code
 c
 Other control number
 10.1007/9780857294463
 Specific material designation
 remote
 System control number

 (CKB)2670000000076023
 (EBL)3066586
 (SSID)ssj0000529923
 (PQKBManifestationID)11347689
 (PQKBTitleCode)TC0000529923
 (PQKBWorkID)10572204
 (PQKB)11687285
 (DEHe213)9780857294463
 (MiAaPQ)EBC3066586
 (EXLCZ)992670000000076023
 Label
 Analysis for Computer Scientists : Foundations, Methods, and Algorithms, by Michael Oberguggenberger, Alexander Ostermann, (electronic resource)
 Note
 Description based upon print version of record
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code
 cr
 Content category
 text
 Content type code
 txt
 Contents
 Numbers  RealValued Functions  Trigonometry  Complex Numbers  Sequences and Series  Limits and Continuity of Functions  The Derivative of a Function  Applications of the Derivative  Fractals and LSystems  Antiderivatives  Definite Integrals  Taylor Series  Numerical Integration  Curves  ScalarValued Functions of Two Variables  VectorValued Functions of Two Variables  Integration of Functions of Two Variables  Linear Regression  Differential Equations  Systems of Differential Equations  Numerical Solution of Differential Equations
 Dimensions
 unknown
 Edition
 1st ed. 2011.
 Extent
 1 online resource (337 p.)
 Form of item
 online
 Isbn
 9780857294463
 Media category
 computer
 Media type code
 c
 Other control number
 10.1007/9780857294463
 Specific material designation
 remote
 System control number

 (CKB)2670000000076023
 (EBL)3066586
 (SSID)ssj0000529923
 (PQKBManifestationID)11347689
 (PQKBTitleCode)TC0000529923
 (PQKBWorkID)10572204
 (PQKB)11687285
 (DEHe213)9780857294463
 (MiAaPQ)EBC3066586
 (EXLCZ)992670000000076023
Library Locations

Architecture LibraryBorrow itGould Hall 830 Van Vleet Oval Rm. 105, Norman, OK, 73019, US35.205706 97.445050



Chinese Literature Translation ArchiveBorrow it401 W. Brooks St., RM 414, Norman, OK, 73019, US35.207487 97.447906

Engineering LibraryBorrow itFelgar Hall 865 Asp Avenue, Rm. 222, Norman, OK, 73019, US35.205706 97.445050

Fine Arts LibraryBorrow itCatlett Music Center 500 West Boyd Street, Rm. 20, Norman, OK, 73019, US35.210371 97.448244

Harry W. Bass Business History CollectionBorrow it401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US35.207487 97.447906

History of Science CollectionsBorrow it401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US35.207487 97.447906

John and Mary Nichols Rare Books and Special CollectionsBorrow it401 W. Brooks St., Rm. 509NW, Norman, OK, 73019, US35.207487 97.447906


Price College Digital LibraryBorrow itAdams Hall 102 307 West Brooks St., Norman, OK, 73019, US35.210371 97.448244

Western History CollectionsBorrow itMonnet Hall 630 Parrington Oval, Rm. 300, Norman, OK, 73019, US35.209584 97.445414
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.libraries.ou.edu/portal/AnalysisforComputerScientistsFoundations/rKZWr6KpR9U/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.libraries.ou.edu/portal/AnalysisforComputerScientistsFoundations/rKZWr6KpR9U/">Analysis for Computer Scientists : Foundations, Methods, and Algorithms, by Michael Oberguggenberger, Alexander Ostermann, (electronic resource)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.libraries.ou.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.libraries.ou.edu/">University of Oklahoma Libraries</a></span></span></span></span></div>