MATLAB Mathematics - SERC - Index of

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5 Differential Equations Selected Bibliography [1] Ascher, U., R. Mattheij, and R. Russell, Numerical Solution of Boundary Value Problems for Ordinary Differential Equations, SIAM, Philadelphia, PA, 1995, p. 372. [2] Cebeci, T. and H. B. Keller, “Shooting and Parallel Shooting Methods for Solving the Falkner-Skan Boundary-layer Equation,” J. Comp. Phys., Vol. 7, 1971, pp. 289-300. [3] Hairer, E., and G. Wanner, Solving Ordinary Differential Equations II, Stiff and Differential-Algebraic Problems, Springer-Verlag, Berlin, 1991, pp. 5-8. [4] Hindmarsh, A. C., “LSODE and LSODI, Two New Initial Value Ordinary Differential Equation Solvers,” SIGNUM Newsletter, Vol. 15, 1980, pp. 10-11. [5] Hindmarsh, A. C., and G. D. Byrne, “Applications of EPISODE: An Experimental Package for the Integration of Ordinary Differential Equations,” Numerical Methods for Differential Systems, L. Lapidus and W. E. Schiesser eds., Academic Press, Orlando, FL, 1976, pp 147-166. [6] Ottesen, J. T., “Modelling of the Baroflex-Feedback Mechanism with Time-Delay,” J. Math. Biol., Vol. 36, 1997. [7] Shampine, L. F., Numerical Solution of Ordinary Differential Equations, Chapman & Hall Mathematics, 1994. [8] Shampine, L. F., and M. K. Gordon, Computer Solution of Ordinary Differential Equations, W.H. Freeman & Co., 1975. [9] Skeel, R. D. and M. Berzins, “A Method for the Spatial Discretization of Parabolic Equations in One Space Variable,” SIAM Journal on Scientific and Statistical Computing, Vol. 11, 1990, pp.1-32. 5-106
6 Sparse Matrices Function Summary (p. 6-2) Introduction (p. 6-5) Viewing Sparse Matrices (p. 6-13) Adjacency Matrices and Graphs (p. 6-17) Sparse Matrix Operations (p. 6-25) Selected Bibliography (p. 6-44) A summary of the sparse matrix functions An introduction to sparse matrices in MATLAB How to obtain quantitative and graphical information about sparse matrices Using adjacency matrices to illustrate sparse matrices A discussion of functions that perform operations specific to sparse matrices Published materials that support concepts described in this chapter
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MATLAB® The Language of Technical
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3 Fast Fourier Transform (FFT) Intr
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3 Fast Fourier Transform (FFT) 200
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3 Fast Fourier Transform (FFT) 2 x
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3 Fast Fourier Transform (FFT) 500
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3 Fast Fourier Transform (FFT) Func
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4 Function Functions Function Summa
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4 Function Functions You can also c
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4 Function Functions 25 20 15 10 5
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4 Function Functions Minimizing Fun
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4 Function Functions To try fminsea
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4 Function Functions Plotting the R
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Index nonstiff ODE examples rigid b
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Index LU factorization 6-30 minimum
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Index twobvp demo 5-63 two-dimensio
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