Поиск книг, содержащих Condition number :: Электронная библиотека попечительского совета мехмата МГУ

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Поиск книг, содержащих: Condition number

Книга	Страницы для поиска
Agarwal R.P. — Difference Equations and Inequalities. Theory, Methods and Applications.	260
Press W.H., Teukolsky S.A., Vetterling W.T. — Numerical recipes in FORTRAN77	53, 78
Ito K. — Encyclopedic Dictionary of Mathematics. Vol. 2	302.A
Кирьянов Д.В. — Самоучитель MathCad 11	234
Chung T.J. — Computational fluid dynamics	256, 257
Bathe K.-J. — Finite element procedures	738
Ben-Israel A., Greville T. — Generalized inverses: Theory and applications	181
Allgower E.L., Georg K. — Introduction to numerical continuation methods	cf. (4.3.1)
Wesseling P. — An introduction to multigrid methods	203, 204
Saad Y. — Numerical Methods for Large Eigenvalue Problems	93
Golub G.H., Ortega J.M. — Scientific Computing and Differential Equations : An Introduction to Numerical Methods	128ff
Ferziger J.H., Peric M. — Computational Methods for Fluid Dynamics	109
Conte S.D., de Boor C. — Elementary numerical analysis - an algorithmic approach	175, 177
Miranker W.L. — Numerical Methods for Stiff Equations and Singular Perturbation Problems	34
Saad Y. — Iterative Methods for Sparse Linear Systems	40
Rawlings J.O., Pantula S.G., Dickey D.A. — Applied Regression Analysis: A Research Tool	371, 473
Rao C.R., Toutenberg H. — Linear models: least squares and alternatives	59
Kuttler K. — Introduction to linear algebra for mathematicians	265
Zienkiewicz O.C., Taylor L.R. — The finite element method (vol. 1, The basis)	197, 617
Shampine L.F., Allen R.C., Pruess Jr.S. — Fundamentals of numerical computing	56
Watkins D. — Fundamentals of matrix computations	121
Fletcher R. — Practical methods of optimization. Volume 1: unconstrained optimization	23, 95, 96
Fletcher R. — Practical methods of optimization. Volume 2: constrained optimization	86
Curtain R.F., Pritchard A.J. — Functional Analysis in Modern Applied Mathematics	283
Hagen R., Roch S., Silbermann B. — C-Algebras and Numerical Analysis	63, 79
Boyd J.P. — Chebyshev and Fourier Spectral Methods	142
Rencher A.C., Barnett V., Bradley R.A. (Ed) — Multivariate Statistical Inference and Applications	20
Kanatani K. — Statistical Optimization for Geometric Computation: Theory and Practice	48
Jetter K. (Ed), Schaback R. (Ed) — Topics in Multivariate Approximation and Interpolation	238
Pugh C.C. — Real Mathematical Analysis	341
Bronson R. — Schaum's Outline of Matrix Operations	118
Atkinson K.E., Han W. — Theoretical Numerical Analysis: A Functional Analysis Framework	74
Khuri A.I. — Advanced calculus with applications in statistics	47
Johnston R. — Numerical methods, a software approach	50, 84, 184
Delves L.M. (ed.), Walsh J. (ed.) — Numerical Solution of Integral Equations	26, 37, 92, 125—126, 131
Nesterov Y. — Introductory Lectures on Convex Optimization: A Basic Course	65
Ito K. — Encyclopedic Dictionary of Mathematics	302.A
Lay D.C. — Linear Algebra And Its Applications	433
Barton J.J., Nackman L.R. — Scientific and engineering C++	571, 613
Kress R., Gehring F.W. — Numerical Analysis	80
Featherstone R. — Rigid Body Dynamics Algorithms	198, 201
Gallier J. — Geometric Methods and Applications: For Computer Science and Engineering	217
Strang G. — Linear Algebra and Its Applications	362, 364, 367, 368, 463, 466
Stewart G.W. — Matrix algorithms. Volume 2: Eigensystems	see “Condition”
Ascher U.M., Russell R.D., Mattheij R.M. — Numerical Solution of Boundary Value Problems for Ordinary Differential Equations	39, 78, 81
Goswami J.C., Chan A.K. — Fundamentals of Wavelets : Theory, Algorithms, and Applications	291
Demmel J.W. — Applied Numerical Linear Algebra	2, 4, 5
Portela A., Charafi A. — Finite Elements Using Maple: A Symbolic Programming Approach	23
Saad Y. — Iterative methods for sparse linear systems	38
Allaire G. — Numerical Analysis and Optimization: An Introduction to Mathematical Modelling and Numerical Simulation	409
Wilkinson J.H. — The algebraic eigenvalue problem	86
Stetter H. J. — Numerical polynomial algebra	79
Tarantola A. — Inverse problem theory and methods for model parameter estimation	215, 279
McCormick S.F. — Multigrid Methods (Frontiers in Applied Mathematics)	11
Farin G., Hansford D. — Practical Linear Algebra: A Geometry Toolbox	137, 138
Wright S. J. — Primal-dual interior-point methods	212, 217, 247
Kincaid D., Cheney W. — Numerical analysis: mathematics of scientific computing	51, 52, 165
Böttcher A., Grudsky S.M. — Spectral Properties of Banded Toeplitz Matrices	137
Chan Man Fong C.F., De Kee D., Kaloni P.N. — Advanced Mathematics for Engineering and Sciences	590
Lynch D.R. — Numerical Partial Differential Equations for Environmental Scientists and Engineers: A First Practical Course	271, 283
Antia H.M. — Numerical Methods for Scientists and Engineers	44, 46, 154, 512, 609, 709, 717
Olver P.J., Shakiban C. — Applied linear. algebra	58, 429, 536
Kreyszig E. — Advanced engineering mathematics	855
Steeb W.- H. — Problems and Solutions in Introductory and Advanced Matrix Calculus	184
Sewell G. — Computational Methods of Linear Algebra	4, 65
Wimp J. — Computation with recurrence relations	8, 171
Englezos P., Kalogerakis K. — Applied parameter estimation for chemical engineers	72, 141, 189
Blackford L.S., Choi J., Geary A. — ScaLAPACK User's Guide	127, 131, 133—137, 145, 146, 148
Quarteroni A., Saleri F. — Scientific Computing with MATLAB	118, 199
Stewart G.W., Sun J. — Matrix perturbation theory	(see Under matrix inverse, eigenvalue, etc.) 118
Bai Z. (ed.) — Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide	8, 10
Bazaraa M.S., Sherali H.D., Shetty C.M. — Nonlinear Programming: Theory and Algorithms	389
Tsang L., Kong J.A., Ding K.- H. — Scattering of electromagnetic waves (Vol 2. Numerical simulations)	55, 56
Demmel J. — Applied numerical linear algebra	2, 4, 5
Vogel C.R. — Computational Methods for Inverse Problems (Frontiers in Applied Mathematics)	30
Antoulas A.C. — Approximation of Large-Scale Dynamical Systems	42
Johnson C. — Numerical solution of partial differential equations by the finite element method	126, 141
Press W.H., Teukolsky S.A., Vetterling W.T. — Numerical recipes in Fortran 90	53, 78
Marks R.J.II. — The Joy of Fourier	305
Ortega J. M. — Iterative Solution of Nonlinear Equations in Several Variables	42
Ralston A., Wilf H.S. — Mathematical methods for digital computers	74
Meurant G. — The Lanczos and conjugate gradient algorithms: from theory to finite precision computations	xiv, 1, 45, 54, 57, 77, 78, 136, 187, 191, 223, 224, 244, 301, 310
Ortega J.M. — Numerical analysis: a second course	29, 32, 35, 54
Gloub G.H., Ortega J.M. — Scientific Computing and Differential Equations	128ff
Antsaklis P.S., Michel A.N. — Linear Systems	646, 647, 649, see also "Matrix"
Goswami J., Chan A. — Fundamentals of Wavelets. Theory, Algorithms, and Applications	291
Elden L. — Numerical Linear Algebra and Applications in Data Mining	24, 66
Varga R.S. — Matrix iterative analysis	66, 95
Stewart G.W. — Afternotes on Numerical Analysis	see "Condition"
Schneider H. (ed.) — Recent advances in matrix theory	130
Isotalo J., Puntanen S — Formulas Useful for Linear Regression Analysis and Related Matrix Theory	33
Ram-Mohan R. — Finite Element and Boundary Element Applications in Quantum Mechanics	90, 334, 369
Hinrichsen D., Pritchard A. — Mathematical Systems Theory I: Modelling, State Space Analysis, Stability and Robustness	666, 667
Strang G. — Introduction to Applied Mathematics	438, 460
Cohen G.L. — A Course in Modern Analysis and Its Applications	239
Horn R.A. — Matrix Analysis	336, 340, 365, 366, 374, 442
Collatz L. — Functional analysis and numerical mathematics	100, 185
Lemm J.M., Meurant G. — Computer Solution of Large Linear Systems	120, 170, 242, 246, 250, 268, 271, 274, 275, 284, 311, 335, 397, 399, 400, 402, 403, 405, 409, 410, 423, 427, 436, 445, 446, 448—450, 452, 469, 475, 478, 493, 494, 511, 513, 517, 531, 583, 586, 602, 604, 614, 618, 621, 623, 624, 631, 632, 641—643, 646—648, 653
Rice J. — Matrix computations and mathematical software	91, 113
Hammerlin G., Hoffmann K.-H., Schumaker L.L. — Numerical Mathematics	20, 28, 29
Campbell S.L., Meyer C.D. — Generalized Inverses of Linear Transformations (Classics in Applied Mathematics)	224, 247
Mason P.L. — Multivariate Statistical Process Control with Industrial Application	67
Golan J.S. — The Linear Algebra a Beginning Graduate Student Ought to Know (Texts in the Mathematical Sciences)	190
Гурский Д.А., Турбина Е.С. — Вычисления в MATHCAD 12	294
BertsekasD., Tsitsiklis J. — Neuro-Dynamic Programming (Optimization and Neural Computation Series, 3)	100, 115
Bhatia R. — Matrix Analysis	232
Sima V. — Algorithms for Linear-Quadratic Optimization	57, 104, 111—113, 156, 158, 170, 183, 242, 245, 247—250, 252, 255, 260, 267, 274, 286, 303, 309, 314, 322, 324, 326, 330, 338, 347
Daniels R.W. — Introduction to numerical methods and optimization techniques	37

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