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024 7 $a10.1515/9783110562507
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100   $a20230518d2017      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aLinear algebra $ea course for physicists and engineers /$fArak M. Mathai, Hans J. Haubold
210  1$aBerlin :$cDe Gruyter,$d2017.
215   $a1 online resource (467 pages)
225 1 $aDe Gruyter Textbook
311   $a3-11-056259-6 
327   $aPart I. Vectors and matrices : module 1 -- Part II. Determinants and eigenvalues : module 2 -- Part III. Applications of matrices and determinants : module 3.
330   $aIn order not to intimidate students by a too abstract approach, this textbook on linear algebra is written to be easy to digest by non-mathematicians. It introduces the concepts of vector spaces and mappings between them without dwelling on statements such as theorems and proofs too much. It is also designed to be self-contained, so no other material is required for an understanding of the topics covered. As the basis for courses on space and atmospheric science, remote sensing, geographic information systems, meteorology, climate and satellite communications at UN-affiliated regional centers, various applications of the formal theory are discussed as well. These include differential equations, statistics, optimization and some engineering-motivated problems in physics.
410  0$aDe Gruyter Textbook.
606   $aAlgebras, Linear$vProblems, exercises, etc
606   $aAlgebras, Linear$xData processing
615  0$aAlgebras, Linear
615  0$aAlgebras, Linear$xData processing.
676   $a512.5
700   $aMathai$b Arak M.$0868596
702   $aHaubold$b Hans J.
801  0$bNjHacI
801  1$bNjHacl
906   $aBOOK
912   $a9910629591803321
996   $aLinear Algebra$92160625
997   $aUNINA