000			a
999			_c31384 _d31384
008			211209b xxu||||| |||| 00| 0 eng d
020			_a9783110562354
082			_a512.5 _bMAT
100			_aMathai, Arak M.
245			_aLinear algebra : a course for physicists and engineers
260			_bDe Gruyter, _c2017 _aBerlin :
300			_axvi, 450 p. ; _bill., _c24 cm
365			_b44.95 _cEUR _d88.70
490			_aDe Gruyter textbook
504			_aIncludes bibliographical references and index.
520			_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. ContentsVectorsMatricesDeterminantsEigenvalues and eigenvectorsSome applications of matrices and determinants Matrix series and additional properties of matrices.
650			_aAlgebras, Linear
650			_aMathematics
650			_aCauchy-Schwartz inequality
650			_a Dot product
650			_a Jacobian
650			_aLinear transformations
650			_a Quadratic form
650			_a Vectors
650			_a Eigen values
650			_a Matrix series
710			_aHaubold, Hans J.
942			_2ddc _cBK