MARC Record from harvard_bibliographic_metadata

LEADER: 02722nam a22004815a 4500
001 014157680-4
005 20141003190140.0
008 130808s1995 xxu| o ||0| 0|eng d
020 $a9780817644468
020 $a9780817643706 (ebk.)
020 $a9780817644468
020 $a9780817643706
024 7 $a10.1007/978-0-8176-4446-8$2doi
035 $a(Springer)9780817644468
040 $aSpringer
050 4 $aQA184-205
072 7 $aMAT002050$2bisacsh
072 7 $aPBF$2bicssc
082 04 $a512.5$223
100 1 $aEdwards, Harold M.,$eauthor.
245 10 $aLinear Algebra /$cby Harold M. Edwards.
264 1 $aBoston, MA :$bBirkhäuser Boston :$bImprint: Birkhäuser,$c1995.
300 $aXIII, 184 p.$bonline resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
505 0 $aMatrix Multiplication -- Equivalence of Matrices. Reduction to Diagonal Form -- Matrix Division -- Determinants -- Testing for Equivalence -- Matrices with Rational Number Entries -- The Method of Least Squares -- Matrices with Polynomial Entries -- Similarity of Matrices -- The Spectral Theorem.
520 $aIn his new undergraduate textbook, Harold M. Edwards proposes a radically new and thoroughly algorithmic approach to linear algebra. Originally inspired by the constructive philosophy of mathematics championed in the 19th century by Leopold Kronecker, the approach is well suited to students in the computer-dominated late 20th century. Each proof is an algorithm described in English that can be translated into the computer language the class is using and put to work solving problems and generating new examples, making the study of linear algebra a truly interactive experience. Designed for a one-semester course, this text adopts an algorithmic approach to linear algebra giving the student many examples to work through and copious exercises to test their skills and extend their knowledge of the subject. Students at all levels will find much interactive instruction in this text while teachers will find stimulating examples and methods of approach to the subject.
650 20 $aEconomics.
650 10 $aMathematics.
650 0 $aComputer science.
650 0 $aEconomics.
650 0 $aEngineering mathematics.
650 0 $aMathematics.
650 0 $aMatrix theory.
650 24 $aAppl.Mathematics/Computational Methods of Engineering.
650 24 $aLinear and Multilinear Algebras, Matrix Theory.
650 24 $aMath Applications in Computer Science.
650 24 $aMathematics of Computing.
776 08 $iPrinted edition:$z9780817643706
988 $a20140910
906 $0VEN