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| | * [[Análise Numérica:Livros]] | | * [[Análise Numérica:Livros]] |
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| − | == Jornais ==
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| − | * Acta Numerica
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| − | * SIAM Review Journal of Computational Physics
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| − | * SIAM Journal on Numerical Analysis
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| − | * SIAM Journal on Matrix Analysis & Applications
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| − | * SIAM Journal on Scientific Computing
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| − | * BIT Numerical Mathematics
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| − | * Numerische Mathematik
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| − | * IMA Journal of Numerical Analysis
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| − | * Mathematics of Computation
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| − | * Foundations of Computational Mathematics
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| − |
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| − | == Livros ==
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| − | === Floating point arithmetic===
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| − | * M.J. Overton, Numerical Computing and the IEEE Floating Point Standard, SIAM, 2001 (Very readable and systematic presentation.)
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| − | See also Chaps. 1 and 2 of the book by N.J. Higham listed below.
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| − |
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| − | === Numerical linear algebra ===
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| − | * G.H. Golub & C. Van Loan: Matrix Computations, 3rd ed. Johns Hopkins, 1996 (The most comprehensive introduction to the subject.)
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| − | * B.N. Parlett: The Symmetric Eigenvalue Problem, Prentice-Hall, 1980 (Best available account of Lanczos-type methods.)
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| − | * L.N. Trefethen & D. Bau: Numerical Linear Algebra, 1997 (General graduate-level text, including Krylov subspace iterations.)
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| − | * J.W. Demmel: Applied Numerical Linear Algebra, SIAM, 1997. (Best up-to-date source on recent algorithms such as divide-and-conquer.)
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| − | * N.J. Higham: Accuracy and Stability of Numerical Algorithms, SIAM, 1996. (An exceptionally careful and up-to-date study of error analysis.) - 1 -
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| − | * A. Greenbaum: Iterative Methods for Solving Linear Systems, SIAM 1997. (Excellent survey of Krylov subspace iterations.)
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| − | * H.C. Elman, D.J. Silvester, A.J. Wathen, Finite Elements And Fast Iterative Solvers, Oxford University Press, 2005 (Major new book at the interface of finite elements and matrix iterations.)
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| − | ===Approximation theory===
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| − | * I. Daubechies: Ten Lectures on Wavelets, SIAM, 1992. (Bestselling introduction to this topic.)
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| − | * G. Strang & T. Nguyen: Wavelets and Filter Banks, Wellesley-Cambridge Press, 1996. (Fascinating presentation of wavelets from the linear algebra point of view.)
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| − | * P.J. Davies: Interpolation and Approximation, Blaisdell, 1963, reprinted by Dover, 1975. (Old, but extremely well written as an introduction to most aspects of the subject.)
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| − | * G. Nürnberger: Approximation by Spline Functions, Springer, 1989.
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| − | * M.J.D. Powell: Approximation Theory and Methods, Cambridge, 1981. (Broad introductory text.)
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| − | * J.C. Mason and D.C. Handscomb: Chebyshev Polynomials, Chapman & Hall, 2003.
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| − |
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| − | ===Optimisation and solution of algebraic equations===
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| − | * J.E. Dennis & R.B. Schnabel: Numerical Methods for Unconstrained Optimization and Nonlinear Equations, Prentice Hall, 1983. (Excellent textbook introduction to quasi-Newton methods, including systems of equations as well as optimisation.)
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| − | * R. Fletcher: Practical Methods of Optimisation, Wiley, 1987. (Very good general account of methods in this area, with strong practical bias.)
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| − | * S. Wright: Primal-Dual Interior Methods, SIAM 1996 (Exceptionally well written introduction to primal-dual methods in mathematical programming.)
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| − | * J. Nocedal and S.J. Wright: Numerical Optimization, 2nd ed., Springer, 2006. (The leading general text.)
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| − |
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| − | ===Applied functional analysis===
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| − | * V.C.L. Hutson & J. S. Pym: Applications of Functional Analysis and Operator Theory, Academic Press, 1980. (Introductory.)
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| − | * E. Kreyszig: Introduction to Functional Analysis and its Applications, Wiley, 1978. (Introductory.)
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| − | * A. Pazy: Semigroups of Linear Operators and Applications to Partial Differential Equations, Springer, 1983. (Advanced.)
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| − | * W. Rudin: Functional Analysis, McGraw-Hill, 1973. (Advanced.) - 2 -
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| − | * R.E. Showalter: Hilbert Space Methods for Partial Differential Equations, Pitman, 1977. (Introductory.)
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| − | * P.D. Lax: Functional Analysis, Wiley, 2002.
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| − |
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| − | ===Mathematical Analysis and Complex Analysis===
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| − | * R. Adams: Sobolev Space, Academic Press, 1975. (Advanced.)
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| − | * C.M. Bender & S. A. Orszag: Advanced Mathematical Methods for Scientists and Engineers, McGraw-Hill, 1978. (Classic book on ODES, asymptotics, and much more.)
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| − | * A.N. Kolmogorov & S.V. Fomin: Introductory Real Analysis, Dover, 1970. (Introductory)
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| − | * W. Rudin: Real and Complex Analysis, McGraw-Hill, 1977. (Introductory but challenging.)
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| − | * E.H. Lieb and M. Loss, Analysis, AMS, 1997. (Very nice introductory text.)
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| − | * J. Jost: Postmodern Analysis, Springer, 2003 (Excellent introductory text.)
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| − | * L.V. Ahlfors, Complex Analysis: An introduction to the theory of analytic functions of one complex variable, McGraw-Hill, 1966.
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| − | * H.A. Priestley, Introduction to Complex Analysis, Oxford University Press, 2003.
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| − | ===Ordinary differential equations (theory and numerical solution)===
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| − | * G. Birkhoff & G.-C. Rota: Ordinary Differential Equations, Ginn, 1962
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| − | * J.C. Butcher: Numerical Analysis of Ordinary Differential Equations, Wiley, 1985. (Extensive advanced treatment.)
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| − | * E. Hairer, S.P. Norsett & G. Wanner: Solving Ordinary Differential Equations I: Nonstiff Problems, Springer, 2nd rev. ed. 1993, Corr. 2nd printing, 2000. (Delightfully readable advanced account, full of personality.)
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| − | * E. Hairer & G. Wanner: Solving Ordinary Differential Equations II: Stiff and Differential-Algebraic Problems, Springer, 2nd rev. ed. 1996. 3rd printing, 2004. (Second volume of above.)
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| − | * H. B. Keller: Numerical Solution of Two-Point Boundary-Value Problems, SIAM, 1976. (Brief but lucid.)
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| − | * J. D. Lambert: Numerical Methods for Ordinary Differential Equations: The Initial Value Problem (2nd ed.), Wiley, 1991. (A standard reference.)
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| − | * L. F. Shampine: Numerical Solution of Ordinary Differential Equations, Chapman & Hall, 1994. (Includes many practical illustrations.)
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| − | * U.M. Ascher and L.R. Petzold: Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations, SIAM, 1998. (Accessible text including DAE’S.) - 3 -
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| − | ===Partial differential equations - Theory===
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| − | * F. John: Partial Differential Equations, Springer, 4th rev. ed. 1991. (Outstanding introduction.)
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| − | * R. Courant & D. Hilbert: Methods of Mathematical Physics, I (1935), II (1962), Interscience. (Old, but well written as an introduction to partial differential equations of mathematical physics.)
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| − | * G. Folland: Introduction to Partial Differential Equations, Princeton, 2nd ed. 1995. (Very elegant introduction.)
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| − | * P.R. Garabedian: Partial Differential Equations, Wiley, 1964. (Classic.)
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| − | * D. Gilbarg & N.S. Trudinger: Elliptic Partial Differential Equations of Second Order, Springer, 1977. (Advanced.)
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| − | * M.E. Taylor: Partial Differential equations: Basic Theory, Springer, 1996. (Very nice textbook by the author of “the” multivolume treatise on PDE.)
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| − | * L.C. Evans: Partial Differential Equations, AMS, 1998. (Excellent textbook, especially good on nonlinear PDE.)
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| − | * H.O. Kreiss & J. Lorenz: Initial Boundary Value Problems and the Navier-Stokes Equations, Academic Press, 1989.
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| − | * J. Smoller: Shock Waves and Reaction-Diffusion Equations, Springer, 1983. (Introductory.)
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| − |
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| − | ===Partial differential equations - Finite difference and spectral methods===
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| − | * R.J. LeVeque: Finite Difference Methods for Ordinary and Partial Differential Equations, SIAM, 2007.
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| − | * B. Fornberg: A Practical Guide to Pseudospectral Methods, Cambridge University Press, 1996.
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| − | * B. Gustaffson, H.-O. Kreiss & J. Oliger: Time Dependent Problems and Difference Methods, Wiley, 1995.
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| − | * R.D. Richtmeyer & K. W. Morton: Difference Methods for Initial-Value Problems, (2nd ed.), Krieger, 1994 (a classic)
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| − | * L.N. Trefethen: Finite Difference and Spectral Methods for Ordinary and Partial Differential Equations, freely available online. (Trefethen’s text from courses taught at MIT and Cornell.)
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| − | * L.N. Trefethen: Spectral Methods in MATLAB, SIAM, 2000. (Basis of our MSc course.)
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| − | ===Partial differential equations - Finite element methods===
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| − | * S.C. Brenner and L.R. Scott: The Mathematical Theory of Finite Element Methods, Springer, 2nd edition, 2002.
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| − | * D.Braess: Finite Elements, Cambridge University Press, 2001. (A very accessible account of the theory of finite element methods.)
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| − | * P.G. Ciarlet: The Finite Element Method for Elliptic Problems, North-Holland, 1978. (Difficult to find a copy!)
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| − | * C. Johnson: Numerical Solution of Partial Differential Equations by the Finite Element Method, Cambridge, 1987. (Introductory.)
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| − | * G. Strang & G.J. Fix: An Analysis of the finite Element Method, Prentice-Hall, 1973.
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| − | ===Fluid dynamics - Theoretical===
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| − | * D.A. Anderson: Modern Compressible Flow, McGraw-Hill, 2nd ed., 1990. (A modern treatment, very readable.)
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| − | * G.K. Batchelor: An Introduction to Fluid Dynamics, Cambridge, 1970. (Classic, incompressible flow.)
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| − | * T. Cebeci & P. Bradshaw: Momentum Transfer in Boundary Layers, McGraw-Hill, 1977. (Theory and computation of boundary layers.)
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| − | * H.W. Liepmann & A. Roshko: Elements of Gas Dynamics, Wiley, 1957. (Classic.)
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| − | * I.J. Sobey: Introduction to Interactive Boundary Layer Theory, OUP, 2000.
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| − |
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| − | ===Fluid dynamics - Computational===
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| − | * D.A. Anderson, J.C. Tannehill & R.A. Pletcher: Computational Fluid Mechanics and Heat Transfer, McGraw-Hill, 1984. (Good introductory book.)
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| − | * C. Hirsch: Numerical Computation of Internal and External Flows 1: Fundamentals of Numerical Discretisation, Wiley 1989.
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| − | * C. Hirsch: Numerical Computation of Internal and External Flows 2: Computational Methods for Inviscid and Viscous Flows, Wiley 1990.
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| − | * R.J. LeVeque: Finite volume Methods for Hyperbolic Problems, Cambridge, 2002
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| − | * R.J. LeVeque: Numerical Methods for Conservation Laws, Birkhäuser. (Earlier, shorter introductory text, very readable.)
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| − | * R. Peyret & T.D. Taylor: Computational Methods for Fluid Flow, Springer, 1983
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Esta linha de pesquisa trata da investigação, desenvolvimento, análise e implementação de algoritmos para a resolução de problemas matemáticos. As soluções podem ser algébricas ou numéricas e visam não só a eficiência dos procedimentos, utilizando paralelismo e computação de alto desempenho, mas também a obtenção de novas teorias matemáticas, através das ferramentas da Álgebra Computacional.
