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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 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 curves Provides summaries and exercises in each chapter, as well as computer experiments Discusses important applications and advanced topics, such as fractals 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 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
- 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
- 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 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 curves Provides summaries and exercises in each chapter, as well as computer experiments Discusses important applications and advanced topics, such as fractals 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 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 -- 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
- 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
- 10.1007/978-0-85729-446-3
- Specific material designation
- remote
- System control number
-
- (CKB)2670000000076023
- (EBL)3066586
- (SSID)ssj0000529923
- (PQKBManifestationID)11347689
- (PQKBTitleCode)TC0000529923
- (PQKBWorkID)10572204
- (PQKB)11687285
- (DE-He213)978-0-85729-446-3
- (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 -- 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
- 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
- 10.1007/978-0-85729-446-3
- Specific material designation
- remote
- System control number
-
- (CKB)2670000000076023
- (EBL)3066586
- (SSID)ssj0000529923
- (PQKBManifestationID)11347689
- (PQKBTitleCode)TC0000529923
- (PQKBWorkID)10572204
- (PQKB)11687285
- (DE-He213)978-0-85729-446-3
- (MiAaPQ)EBC3066586
- (EXLCZ)992670000000076023
Library Locations
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Architecture LibraryBorrow itGould Hall 830 Van Vleet Oval Rm. 105, Norman, OK, 73019, US35.205706 -97.445050
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Chinese Literature Translation ArchiveBorrow it401 W. Brooks St., RM 414, Norman, OK, 73019, US35.207487 -97.447906
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Engineering LibraryBorrow itFelgar Hall 865 Asp Avenue, Rm. 222, Norman, OK, 73019, US35.205706 -97.445050
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Fine Arts LibraryBorrow itCatlett Music Center 500 West Boyd Street, Rm. 20, Norman, OK, 73019, US35.210371 -97.448244
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Harry W. Bass Business History CollectionBorrow it401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US35.207487 -97.447906
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History of Science CollectionsBorrow it401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US35.207487 -97.447906
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John and Mary Nichols Rare Books and Special CollectionsBorrow it401 W. Brooks St., Rm. 509NW, Norman, OK, 73019, US35.207487 -97.447906
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Price College Digital LibraryBorrow itAdams Hall 102 307 West Brooks St., Norman, OK, 73019, US35.210371 -97.448244
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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 fa-external-link-square fa-fw"></i> Data from <span resource="http://link.libraries.ou.edu/portal/Analysis-for-Computer-Scientists--Foundations/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/Analysis-for-Computer-Scientists--Foundations/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>
