Scientific Computing : Vol. III  Approximation and Integration
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The work Scientific Computing : Vol. III  Approximation and Integration represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Scientific Computing : Vol. III  Approximation and Integration
Resource Information
The work Scientific Computing : Vol. III  Approximation and Integration represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Scientific Computing : Vol. III  Approximation and Integration
 Title remainder
 Vol. III  Approximation and Integration
 Statement of responsibility
 by John A. Trangenstein
 Subject

 Differential equations
 Differential equations
 Ordinary Differential Equations
 Mathematical optimization
 Computer science  Mathematics
 Electronic resources
 Mathematics
 Computer science  Mathematics
 Optimization
 Computational Mathematics and Numerical Analysis
 Mathematics
 Mathematical optimization
 Language
 eng
 Summary
 This is the third of three volumes providing a comprehensive presentation of the fundamentals of scientific computing. This volume discusses topics that depend more on calculus than linear algebra, in order to prepare the reader for solving differential equations. This book and its companions show how to determine the quality of computational results, and how to measure the relative efficiency of competing methods. Readers learn how to determine the maximum attainable accuracy of algorithms, and how to select the best method for computing problems. This book also discusses programming in several languages, including C++, Fortran and MATLAB. There are 90 examples, 200 exercises, 36 algorithms, 40 interactive JavaScript programs, 91 references to software programs and 1 case study. Topics are introduced with goals, literature references and links to public software. There are descriptions of the current algorithms in GSLIB and MATLAB. This book could be used for a second course in numerical methods, for either upper level undergraduates or first year graduate students. Parts of the text could be used for specialized courses, such as nonlinear optimization or iterative linear algebra
 Image bit depth
 0
 LC call number
 QA7190
 Literary form
 non fiction
 Series statement
 Texts in Computational Science and Engineering,
 Series volume
 20
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