000 02642mam a2200325 a 4500
001 1930752
003 BD-DhUL
005 20140825160313.0
008 960822s1997 nyua b 001 0 eng
010 _a 96036417
020 _a0471111112 (cloth : alk. paper)
035 _a(OCoLC)ocm35318492
040 _aDLC
_cDLC
_dC#P
_dOrLoB-B
_dBD-DhUL
050 0 0 _aQA184
_b.L396 1997
082 0 0 _a512.5
_220
_bLAL
100 1 _aLax, Peter D.
245 1 0 _aLinear algebra /
_cPeter D. Lax.
260 _aNew York :
_bJohn Wiley,
_cc1997.
300 _axiv, 250 p. :
_bill. ;
_c24 cm.
490 1 _aPure and applied mathematics
500 _a"A Wiley-Interscience publication."
504 _aIncludes bibliographical references (p. 245) and index.
505 0 0 _g1.
_tFundamentals --
_g2.
_tDuality --
_g3.
_tLinear Mappings --
_g4.
_tMatrices --
_g5.
_tDeterminant and Trace --
_g6.
_tSpectral Theory --
_g7.
_tEuclidean Structure --
_g8.
_tSpectral Theory of Selfadjoint Mappings --
_g9.
_tCalculus of Vector and Matrix Valued Functions --
_g10.
_tMatrix Inequalities --
_g11.
_tKinematics and Dynamics --
_g12.
_tConvexity --
_g13.
_tThe Duality Theorem --
_g14.
_tNormed Linear Spaces --
_g15.
_tLinear Mappings between Normed Spaces --
_g16.
_tPositive Matrices --
_g17.
_tHow to Solve Systems of Linear Equations --
_gApp. 1.
_tSpecial Determinants --
_gApp. 2.
_tPfaff's Theorem --
_gApp. 3.
_tSymplectic Matrices --
_gApp. 4.
_tTensor Product --
_gApp. 5.
_tLattices --
_gApp. 6.
_tFast Matrix Multiplication --
_gApp. 7.
_tGershgorin's Theorem --
_gApp. 8.
_tThe Multiplicity of Eigenvalues.
520 _aThis introduction to linear algebra by world renowned mathematician Peter Lax is unique in its emphasis on the analytical aspects of the subject as well as its numerous applications. The book grew out of Dr. Lax's course notes for the linear algebra classes he teaches at New York University. Geared to graduate students as well as advanced undergraduates, it assumes only limited knowledge of linear algebra and avoids subjects already heavily treated in other textbooks.
520 8 _aAnd while it discusses linear equations, matrices, determinants, and vector spaces, it also includes a number of exciting topics that are not covered elsewhere, such as eigenvalues, the Hahn-Banach theorem, geometry, game theory, and numerical analysis. Clear, concise, and superbly organized. Linear Algebra is an excellent text for advanced undergraduate and graduate courses and also serves as a handy professional reference.
650 0 _aAlgebras, Linear.
830 0 _aPure and applied mathematics (John Wiley & Sons : Unnumbered)
900 _aAUTH
_bTOC
942 _2ddc
_cBK
999 _c5867
_d5867