Page 517 - Applied Numerical Methods Using MATLAB

506 INDEX FOR MATLAB ROUTINES
inline() S1.1-6 define a function inside the program
inpolygon() S9.4 is the point inside an polygonal region?
input() S1.1-3 request and get user input
int() S5.8, AG2 numerical/symbolic integration
interp1() S3.5 1-D interpolation
interp2() S3.7 2-D interpolation
intrp1() P3.10 1-D interpolation
intrp2() S3.7 2-D interpolation
interpolate by DFS S3.9-3 interpolation using DFS
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int2s() S5.10, P5.14 2-D (double) integral
inv() S1.1-7 the inverse of a matrix
isempty() P1.10 is it empty (no value)?
isnumeric() P1.10 has it a numeric value?
jacob() S4.6 Jacobian matrix of a given function
jacob1() P5.3 Jacobian matrix of a given function
jacobi() S2.5-1 Jacobi iteration to solve a equation
st
Jkb() P1.21 1 kind of k-th order Bessel function
lagranp() S3.1 Lagrange polynomial interpolation
lgndrp() S5.9-1 Legendrepolynomial
length() S1.1-7 the length of a vector (sequence)
limit() AG2-2 limit of a symbolic expression
lin eq() S2.1-3 solve linear equation(s)
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linprog() S7.3-3 solve a linear programming (LP) problem
load S1.1-2,4 read variable(s) from file
loglog() S1.1-4 plot data as logarithmic scales for the x-axis and y-axis
lookfor S1.1-1 search for string in the first comment line in all M-files
lscov() S3.8-1 weighted least-squares with known (error) covariance
lsqcurvefit() S3.8-3 weighted nonlinear least-squares curve fitting
lsqlin() S7.3-1 solve a linear least squares (LLS) problem
lsqnonlin() S7.3-1 solve a non-linear least squares (NLLS) problem
lsqnonneg() S7.3-2 find a non-negative least squares (NNLS) solution
lu() S2.4-1 LU decomposition (factorization)
lu dcmp() S2.4-1 LU decomposition (factorization)
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max() S1.1-7 find the maximum element(s) of an array
mesh() S1.1-5, 3.7 plot a mesh-type graph of f(x, y)
meshgrid() S1.1-5, 3.7 grid points for plotting a mesh-type graph
min() S1.1-7 find the minimum element(s) of an array
mkpp() P1.11 make a piece-wise polynomial
mod() S1.1-5 (T1.3) remainder after division
mulaw() P1.9 µ-law
mu inv() S7.1-7 µ −1 law
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multiply matrix() P1.12 matrix multiplication
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newton() S4.4 Newton method to solve a nonlinear equation
newtonp() S3.2 Newton polynomial interpolation
newtons() S4.6 Newton method to solve a system of nonlinear equation
norm() P1.13 norm of vector/matrix
ode ABM() S6.4-1 solve a state equation by Adams-Bashforth-Moulton
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solver
ode Euler() S6.1 solve a state equation by Euler’s method
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ode Ham() S6.4-2 solve a state equation by Hamming ODE solver
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ode Heun() S6.2 solve a state equation by Heun’s method
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ode RK4() S6.3 solve a state equation by Runge-Kutta method
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ode23()/ode45() S6.4-3 ODE solver