000 nam a22 7a 4500
999 _c29335
_d29335
008 190311b xxu||||| |||| 00| 0 eng d
020 _a9781107177901
_c(hbk)
082 _a512​.5
_bMEC
100 _aMeckes, Elizabeth S.
245 _aLinear algebra
260 _aCambridge :
_bCambridge University Press,
_c2018
300 _axvi, 422 p. :
_bill. ;
_c26 cm.
365 _aGBP
_b49.99
_d00
504 _aIncludes bibliographical references and index.
520 _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.
650 _aAlgebras
650 _a Linear
700 _aMeckes, Mark W.
942 _2ddc
_cBK