MATLAB Mathematics - SERC - Index of

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4 Function Functions “Anonymous Functions” on page 4-3 explains how to create anonymous functions. If you later decide to find a zero for different values of b and c, you must redefine the anonymous function using the new values. For example, b = 4; c = -1; fzero(@(x) poly(x, b, c), 0) ans = 0.2463 For more complicated objective functions, it is usually preferable to write the function as a nested function, as described in “Providing Parameter Values Using Nested Functions” on page 4-30. 4-32
5 Differential Equations Initial Value Problems for ODEs and DAEs (p. 5-2) Initial Value Problems for DDEs (p. 5-49) Boundary Value Problems for ODEs (p. 5-61) Partial Differential Equations (p. 5-89) Selected Bibliography (p. 5-106) Describes the solution of ordinary differential equations (ODEs) and differential-algebraic equations (DAEs), where the solution of interest satisfies initial conditions at a given initial value of the independent variable. Describes the solution of delay differential equations (DDEs) where the solution of interest is determined by a history function. Describes the solution of ODEs, where the solution of interest satisfies certain boundary conditions. The boundary conditions specify a relationship between the values of the solution at the initial and final values of the independent variable. Describes the solution of initial-boundary value problems for systems of parabolic and elliptic partial differential equations (PDEs) in one spatial variable and time. Lists published materials that support concepts described in this chapter. Note In function tables, commonly used functions are listed first, followed by more advanced functions. The same is true of property tables.
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MATLAB® The Language of Technical
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Revision History June 2004 First pr
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2 Polynomials and Interpolation Pol
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Introduction to Initial Value ODE P
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1 Matrices and Linear Algebra Funct
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2 Polynomials and Interpolation Pol
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2 Polynomials and Interpolation Cal
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5 Differential Equations Function d
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5 Differential Equations dde23 prod
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5 Differential Equations BVP Functi
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5 Differential Equations u1(x,t) 1
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6 Sparse Matrices Function Summary
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6 Sparse Matrices This matrix requi
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6 Sparse Matrices S = (3,1) 1 (2,2)
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6 Sparse Matrices Now F = full(S) d
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6 Sparse Matrices Importing Sparse
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6 Sparse Matrices west0479 west0479
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6 Sparse Matrices The find Function
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6 Sparse Matrices of the rows and c
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6 Sparse Matrices simply sparse(m,n
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6 Sparse Matrices Similarly, S(:,p)
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6 Sparse Matrices QR Factorization
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6 Sparse Matrices Functions for Ite
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6 Sparse Matrices set up the five-p
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6 Sparse Matrices Manipulating Spar
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6 Sparse Matrices Selected Bibliogr
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Index comparing sparse and full mat
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Index H hb1dae demo 5-35 hb1ode dem
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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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