Scientific Computing : For Scientists and Engineers

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Title:	Scientific Computing : For Scientists and Engineers
Description:	Scientific Computing for Scientists and Engineers is designed to teach undergraduate students relevant numerical methods and required fundamentals in scientific computing. Most problems in science and engineering require the solution of mathematical problems, most of which can only be done on a computer. Accurately approximating those problems requires solving differential equations and linear systems with millions of unknowns, and smart algorithms can be used on computers to reduce calculation times from years to minutes or even seconds. This book explains: How can we approximate these important mathematical processes? How accurate are our approximations? How efficient are our approximations? Scientific Computing for Scientists and Engineers covers: An introduction to a wide range of numerical methods for linear systems, eigenvalue problems, differential equations, numerical integration, and nonlinear problems; Scientific computing fundamentals like floating point representation of numbers and convergence; Analysis of accuracy and efficiency; Simple programming examples in MATLAB to illustrate the algorithms and to solve real life problems; Exercises to reinforce all topics.
Authors:	Timo Heister, Leo G. Rebholz
Resource Type:	eBook.
Subjects:	Numerical analysis, Science--Data processing, Engineering--Data processing, Numerical analysis--Data processing
Categories:	MATHEMATICS / Numerical Analysis, MATHEMATICS / Applied, MATHEMATICS / Study & Teaching
Database:	eBook Collection (EBSCOhost)

FullText	Links: – Type: ebook-epub Text: Availability: 0
Header	DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 999665 RelevancyScore: 1064 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 1063.91076660156
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Items	– Name: Title Label: Title Group: Ti Data: Scientific Computing : For Scientists and Engineers – Name: Abstract Label: Description Group: Ab Data: Scientific Computing for Scientists and Engineers is designed to teach undergraduate students relevant numerical methods and required fundamentals in scientific computing. Most problems in science and engineering require the solution of mathematical problems, most of which can only be done on a computer. Accurately approximating those problems requires solving differential equations and linear systems with millions of unknowns, and smart algorithms can be used on computers to reduce calculation times from years to minutes or even seconds. This book explains: How can we approximate these important mathematical processes? How accurate are our approximations? How efficient are our approximations? Scientific Computing for Scientists and Engineers covers: An introduction to a wide range of numerical methods for linear systems, eigenvalue problems, differential equations, numerical integration, and nonlinear problems; Scientific computing fundamentals like floating point representation of numbers and convergence; Analysis of accuracy and efficiency; Simple programming examples in MATLAB to illustrate the algorithms and to solve real life problems; Exercises to reinforce all topics. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Timo+Heister%22">Timo Heister</searchLink><br /><searchLink fieldCode="AR" term="%22Leo+G%2E+Rebholz%22">Leo G. Rebholz</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Science--Data+processing%22">Science--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering--Data+processing%22">Engineering--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+analysis--Data+processing%22">Numerical analysis--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Numerical+Analysis%22">MATHEMATICS / Numerical Analysis</searchLink><br /><searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Applied%22">MATHEMATICS / Applied</searchLink><br /><searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Study+%26+Teaching%22">MATHEMATICS / Study & Teaching</searchLink>
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RecordInfo	BibRecord: BibEntity: Classifications: – Code: 518 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Numerical analysis Type: general – SubjectFull: Science--Data processing Type: general – SubjectFull: Engineering--Data processing Type: general – SubjectFull: Numerical analysis--Data processing Type: general Titles: – TitleFull: Scientific Computing : For Scientists and Engineers Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Timo Heister – PersonEntity: Name: NameFull: Leo G. Rebholz – PersonEntity: Name: NameFull: Timo Heister – PersonEntity: Name: NameFull: Leo G. Rebholz IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2015 – D: 01 M: 08 Type: profile Y: 2015 Identifiers: – Type: isbn-print Value: 9783110359404 – Type: isbn-electronic Value: 9783110359428 – Type: isbn-electronic Value: 9783110386806 Titles: – TitleFull: Scientific Computing : For Scientists and Engineers Type: main
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