02565mam a2200289 a 45000010008000000030008000080050017000160080041000330100017000740200036000910350023001270400036001500500022001860820019002081000018002272450036002452600036002813000034003174900033003515000040003845040060004245050793004845200477012775200433017546500022021878300066022091930752BD-DhUL20140825160313.0960822s1997    nyua     b    001 0 eng    a   96036417   a0471111112 (cloth : alk. paper)  a(OCoLC)ocm35318492  aDLCcDLCdC#PdOrLoB-BdBD-DhUL00aQA184b.L396 199700a512.5220bLAL1 aLax, Peter D.10aLinear algebra /cPeter D. Lax.  aNew York :bJohn Wiley,cc1997.  axiv, 250 p. :bill. ;c24 cm.1 aPure and applied mathematics  a"A Wiley-Interscience publication."  aIncludes bibliographical references (p. 245) and index.00g1.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.  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.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. 0aAlgebras, Linear. 0aPure and applied mathematics (John Wiley & Sons : Unnumbered)