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050	0	0	_aQA184.2 _b.H37 2005
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100	1		_aHardy, Kenneth. _938451
245	1	0	_aLinear Algebra for Engineers and Scientists Using MATLAB / _cKenneth Hardy.
260			_aUpper Saddle River, N.J. : _bPearson Prentice Hall, _cc2005.
300			_axv, 480, 6 p. : _bill. (some col.) ; _c25 cm.
504			_aIncludes bibliographical references and index.
505			_a(NOTE: A (historic) profile and introduction are keynotes to each chapter.) 1. Linear Systems. Solving Linear Systems. Echelon Forms, Rank. Applications. 2. Matrices. Matrix Algebra. Inverses. LU-Factorization. Applications. 3. Vectors. Spaces of Vectors. Linear Independence, Bases, Dimension. Null Space, Column Space, Row Space. Linear Transformations on Rn. 4. Orthogonality. Dot Product, Norm. Orthogonal Sets, Orthogonal Matrices. Orthogonal Subspaces, Projections, Bases. Applications. 5. Determinants. Definition and Computation. Inverses and Products. 6. Eigenvalue Problems. Eigenvalues and Eigenvectors. Diagonalization. Applied Eignevalue Problems. Markov Chains. Systems of Linear Differential Equations. 7. Vector Spaces. Vector Spaces and Subspaces. Linear Independence, Basis, Dimension. Coordinates, Linear Transformations. 8. Complex Numbers. Algebraic Theory. Geometric Theory. Polar Form. Extraction of Roots, Polynomials. Linear Algebra: The Complex Case. 9. Linear Programming. Standard Forms, Geometrical Methods. The Simplex Algorithm. Duality. Mixed Constraints. Appendix A: MATLAB. Appendix B: TOOLBOX. Answers to Selected Odd-Numbered Exercises Index.
520			_aFor a one-semester introductory course. Although the text has been developed in the context of engineering and physical science, it is also suitable for computer science students, math majors, and other quantitative fields. The most carefully written and clearest written text in linear algebra, motivates students in applied areas by placing linear algebra in context through current applications, anecdotes and historical references. Although it may be used without machine computation, the use of MATLAB is encouraged in a unique and innovative way.
630	0	0	_aMATLAB. _92279
650		0	_aAlgebras, Linear. _91024
650		0	_aScience _xMathematics. _924865
650		0	_aEngineering mathematics. _91201
942			_2lcc _n0 _cBK
999			_c17185 _d17185