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010 _a9781107177901
_bbr.
010 _a1-107-17790-1
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073 1 _a9781107177901
090 _a15562
099 _tOUVR
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100 _a20181217d2018 m y0frey50 ba
101 0 _aeng
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102 _aGB
105 _aa z 001yy
106 _az
181 _6z01
_ctxt
_2rdacontent
181 1 _6z01
_ai#
_bxxxe##
182 _6z01
_cn
_2rdamedia
182 1 _6z01
_an
183 1 _6z01
_anga
_2RDAfrCarrier
200 1 _aLinear algebra
_fElizabeth S. Meckes,... Mark W. Meckes,...
214 0 _aCambridge
_aNew York
_cCambridge university press
214 4 _dC 2018
215 _a1 vol. (XVI-427 p.)
_cill.
_d26 cm
225 0 _aCambridge mathematical textbooks
300 _aNotes bibliogr.Index
330 _aLinear Algebra offers a unified treatment of both matrix-oriented and theoretical approaches to the course, which will be useful for classes with a mix of mathematics, physics, engineering, and computer science students. Major topics include singular value decomposition, the spectral theorem, linear systems of equations, vector spaces, linear maps, matrices, eigenvalues and eigenvectors, linear independence, bases, coordinates, dimension, matrix factorizations, inner products, norms, and determinants.
410 _0013644424
_tCambridge mathematical textbooks
_fadvisory board John B. Conway,...
_cCambridge [etc.]
_nCambridge University Press
_d198?-
606 _3027303861
_aAlgèbre linéaire
_2rameau
676 _a512.5
_v23
700 1 _3232800510
_aMeckes
_bElizabeth S.
_4070
701 1 _3232800561
_aMeckes
_bMark W.
_4070