Mercurial > hg > octave-nkf
annotate doc/interpreter/quad.txi @ 14138:72c96de7a403 stable
maint: update copyright notices for 2012
author | John W. Eaton <jwe@octave.org> |
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date | Mon, 02 Jan 2012 14:25:41 -0500 |
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1 @c Copyright (C) 1996-2012 John W. Eaton |
7018 | 2 @c |
3 @c This file is part of Octave. | |
4 @c | |
5 @c Octave is free software; you can redistribute it and/or modify it | |
6 @c under the terms of the GNU General Public License as published by the | |
7 @c Free Software Foundation; either version 3 of the License, or (at | |
8 @c your option) any later version. | |
9 @c | |
10 @c Octave is distributed in the hope that it will be useful, but WITHOUT | |
11 @c ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or | |
12 @c FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License | |
13 @c for more details. | |
14 @c | |
15 @c You should have received a copy of the GNU General Public License | |
16 @c along with Octave; see the file COPYING. If not, see | |
17 @c <http://www.gnu.org/licenses/>. | |
3294 | 18 |
6741 | 19 @node Numerical Integration |
20 @chapter Numerical Integration | |
21 | |
22 Octave comes with several built-in functions for computing the integral | |
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23 of a function numerically (termed quadrature). These functions all solve |
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24 1-dimensional integration problems. |
3294 | 25 |
26 @menu | |
6741 | 27 * Functions of One Variable:: |
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28 * Orthogonal Collocation:: |
6741 | 29 * Functions of Multiple Variables:: |
3294 | 30 @end menu |
31 | |
4167 | 32 @node Functions of One Variable |
3294 | 33 @section Functions of One Variable |
34 | |
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35 Octave supports five different algorithms for computing the integral |
6741 | 36 @tex |
37 $$ | |
38 \int_a^b f(x) d x | |
39 $$ | |
40 @end tex | |
41 of a function @math{f} over the interval from @math{a} to @math{b}. | |
42 These are | |
43 | |
44 @table @code | |
45 @item quad | |
46 Numerical integration based on Gaussian quadrature. | |
47 | |
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48 @item quadv |
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49 Numerical integration using an adaptive vectorized Simpson's rule. |
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50 |
6741 | 51 @item quadl |
52 Numerical integration using an adaptive Lobatto rule. | |
53 | |
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54 @item quadgk |
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55 Numerical integration using an adaptive Gauss-Konrod rule. |
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56 |
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57 @item quadcc |
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58 Numerical integration using adaptive Clenshaw-Curtis rules. |
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59 |
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60 @item trapz, cumtrapz |
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61 Numerical integration of data using the trapezoidal method. |
6741 | 62 @end table |
63 | |
64 @noindent | |
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65 The best quadrature algorithm to use depends on the integrand. If you have |
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66 empirical data, rather than a function, the choice is @code{trapz} or |
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67 @code{cumtrapz}. If you are uncertain about the characteristics of the |
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68 integrand, @code{quadcc} will be the most robust as it can handle |
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69 discontinuities, singularities, oscillatory functions, and infinite intervals. |
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70 When the integrand is smooth @code{quadgk} may be the fastest of the |
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71 algorithms. |
6741 | 72 |
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73 @multitable @columnfractions 0.05 0.15 .80 |
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74 @headitem @tab Function @tab Characteristics |
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75 @item @tab quad @tab Low accuracy with nonsmooth integrands |
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76 @item @tab quadv @tab Medium accuracy with smooth integrands |
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77 @item @tab quadl @tab Medium accuracy with smooth integrands. Slower than quadgk. |
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78 @item @tab quadgk @tab Medium accuracy (@math{1e^{-6}}--@math{1e^{-9}}) with smooth integrands. |
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79 @item @tab @tab Handles oscillatory functions and infinite bounds |
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80 @item @tab quadcc @tab Low to High accuracy with nonsmooth/smooth integrands |
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81 @item @tab @tab Handles oscillatory functions, singularities, and infinite bounds |
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82 @end multitable |
3294 | 83 |
84 | |
85 Here is an example of using @code{quad} to integrate the function | |
86 @tex | |
87 $$ | |
88 f(x) = x \sin (1/x) \sqrt {|1 - x|} | |
89 $$ | |
90 from $x = 0$ to $x = 3$. | |
91 @end tex | |
6741 | 92 @ifnottex |
3294 | 93 |
94 @example | |
95 @var{f}(@var{x}) = @var{x} * sin (1/@var{x}) * sqrt (abs (1 - @var{x})) | |
96 @end example | |
97 | |
98 @noindent | |
99 from @var{x} = 0 to @var{x} = 3. | |
6741 | 100 @end ifnottex |
3294 | 101 |
102 This is a fairly difficult integration (plot the function over the range | |
103 of integration to see why). | |
104 | |
105 The first step is to define the function: | |
106 | |
107 @example | |
108 @group | |
109 function y = f (x) | |
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110 y = x .* sin (1./x) .* sqrt (abs (1 - x)); |
3294 | 111 endfunction |
112 @end group | |
113 @end example | |
114 | |
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115 Note the use of the `dot' forms of the operators. This is not necessary for |
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116 the @code{quad} integrator, but is required by the other integrators. In any |
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117 case, it makes it much easier to generate a set of points for plotting because |
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118 it is possible to call the function with a vector argument to produce a vector |
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119 result. |
3294 | 120 |
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121 The second step is to call quad with the limits of integration: |
3294 | 122 |
123 @example | |
124 @group | |
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125 [q, ier, nfun, err] = quad ("f", 0, 3) |
3294 | 126 @result{} 1.9819 |
127 @result{} 1 | |
128 @result{} 5061 | |
129 @result{} 1.1522e-07 | |
130 @end group | |
131 @end example | |
132 | |
133 Although @code{quad} returns a nonzero value for @var{ier}, the result | |
134 is reasonably accurate (to see why, examine what happens to the result | |
135 if you move the lower bound to 0.1, then 0.01, then 0.001, etc.). | |
136 | |
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137 The function "f" can be the string name of a function, a function handle, or |
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138 an inline function. These options make it quite easy to do integration |
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139 without having to fully define a function in an m-file. For example: |
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140 |
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141 @example |
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142 @group |
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143 # Verify integral (x^3) = x^4/4 |
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144 f = inline ("x.^3"); |
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145 quadgk (f, 0, 1) |
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146 @result{} 0.25000 |
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147 |
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148 # Verify gamma function = (n-1)! for n = 4 |
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149 f = @@(x) x.^3 .* exp (-x); |
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150 quadcc (f, 0, Inf) |
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151 @result{} 6.0000 |
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152 @end group |
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153 @end example |
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154 |
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155 @DOCSTRING(quad) |
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156 |
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157 @DOCSTRING(quad_options) |
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158 |
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159 @DOCSTRING(quadv) |
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160 |
6502 | 161 @DOCSTRING(quadl) |
162 | |
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163 @DOCSTRING(quadgk) |
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164 |
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165 @DOCSTRING(quadcc) |
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166 |
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167 Sometimes one does not have the function, but only the raw (x, y) points from |
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168 which to perform an integration. This can occur when collecting data in an |
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169 experiment. The @code{trapz} function can integrate these values as shown in |
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170 the following example where "data" has been collected on the cosine function |
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171 over the range [0, pi/2). |
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172 |
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173 @example |
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174 @group |
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175 x = 0:0.1:pi/2; # Uniformly spaced points |
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176 y = cos (x); |
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177 trapz (x, y) |
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178 @result{} 0.99666 |
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179 @end group |
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180 @end example |
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181 |
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182 The answer is reasonably close to the exact value of 1. Ordinary quadrature |
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183 is sensitive to the characteristics of the integrand. Empirical integration |
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184 depends not just on the integrand, but also on the particular points chosen to |
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185 represent the function. Repeating the example above with the sine function |
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186 over the range [0, pi/2) produces far inferior results. |
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187 |
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188 @example |
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189 @group |
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190 x = 0:0.1:pi/2; # Uniformly spaced points |
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191 y = sin (x); |
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192 trapz (x, y) |
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193 @result{} 0.92849 |
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194 @end group |
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195 @end example |
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196 |
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197 However, a slightly different choice of data points can change the result |
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198 significantly. The same integration, with the same number of points, but |
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199 spaced differently produces a more accurate answer. |
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200 |
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201 @example |
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202 @group |
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203 x = linspace (0, pi/2, 16); # Uniformly spaced, but including endpoint |
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204 y = sin (x); |
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205 trapz (x, y) |
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206 @result{} 0.99909 |
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207 @end group |
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208 @end example |
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209 |
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210 In general there may be no way of knowing the best distribution of points ahead |
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211 of time. Or the points may come from an experiment where there is no freedom to |
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212 select the best distribution. In any case, one must remain aware of this |
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213 issue when using @code{trapz}. |
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214 |
6502 | 215 @DOCSTRING(trapz) |
216 | |
217 @DOCSTRING(cumtrapz) | |
218 | |
4167 | 219 @node Orthogonal Collocation |
3294 | 220 @section Orthogonal Collocation |
221 | |
3368 | 222 @DOCSTRING(colloc) |
3294 | 223 |
224 Here is an example of using @code{colloc} to generate weight matrices | |
225 for solving the second order differential equation | |
226 @tex | |
227 $u^\prime - \alpha u^{\prime\prime} = 0$ with the boundary conditions | |
228 $u(0) = 0$ and $u(1) = 1$. | |
229 @end tex | |
6741 | 230 @ifnottex |
3294 | 231 @var{u}' - @var{alpha} * @var{u}'' = 0 with the boundary conditions |
232 @var{u}(0) = 0 and @var{u}(1) = 1. | |
6741 | 233 @end ifnottex |
3294 | 234 |
235 First, we can generate the weight matrices for @var{n} points (including | |
236 the endpoints of the interval), and incorporate the boundary conditions | |
237 in the right hand side (for a specific value of | |
238 @tex | |
239 $\alpha$). | |
240 @end tex | |
6741 | 241 @ifnottex |
3294 | 242 @var{alpha}). |
6741 | 243 @end ifnottex |
3294 | 244 |
245 @example | |
246 @group | |
247 n = 7; | |
248 alpha = 0.1; | |
249 [r, a, b] = colloc (n-2, "left", "right"); | |
250 at = a(2:n-1,2:n-1); | |
251 bt = b(2:n-1,2:n-1); | |
252 rhs = alpha * b(2:n-1,n) - a(2:n-1,n); | |
253 @end group | |
254 @end example | |
255 | |
256 Then the solution at the roots @var{r} is | |
257 | |
258 @example | |
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259 @group |
3294 | 260 u = [ 0; (at - alpha * bt) \ rhs; 1] |
261 @result{} [ 0.00; 0.004; 0.01 0.00; 0.12; 0.62; 1.00 ] | |
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262 @end group |
3294 | 263 @end example |
6741 | 264 |
265 @node Functions of Multiple Variables | |
266 @section Functions of Multiple Variables | |
267 | |
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268 Octave does not have built-in functions for computing the integral of |
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269 functions of multiple variables directly. It is possible, however, to |
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270 compute the integral of a function of multiple variables using the |
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271 existing functions for one-dimensional integrals. |
6741 | 272 |
273 To illustrate how the integration can be performed, we will integrate | |
274 the function | |
275 @tex | |
276 $$ | |
277 f(x, y) = \sin(\pi x y)\sqrt{x y} | |
278 $$ | |
279 @end tex | |
280 @ifnottex | |
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281 |
6741 | 282 @example |
283 f(x, y) = sin(pi*x*y)*sqrt(x*y) | |
284 @end example | |
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285 |
6741 | 286 @end ifnottex |
287 for @math{x} and @math{y} between 0 and 1. | |
288 | |
289 The first approach creates a function that integrates @math{f} with | |
290 respect to @math{x}, and then integrates that function with respect to | |
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291 @math{y}. Because @code{quad} is written in Fortran it cannot be called |
6741 | 292 recursively. This means that @code{quad} cannot integrate a function |
293 that calls @code{quad}, and hence cannot be used to perform the double | |
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294 integration. Any of the other integrators, however, can be used which is |
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295 what the following code demonstrates. |
6741 | 296 |
297 @example | |
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298 @group |
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299 function q = g(y) |
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300 q = ones (size (y)); |
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301 for i = 1:length (y) |
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302 f = @@(x) sin (pi*x.*y(i)) .* sqrt (x.*y(i)); |
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303 q(i) = quadgk (f, 0, 1); |
6741 | 304 endfor |
305 endfunction | |
306 | |
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307 I = quadgk ("g", 0, 1) |
6741 | 308 @result{} 0.30022 |
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309 @end group |
6741 | 310 @end example |
311 | |
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312 The above process can be simplified with the @code{dblquad} and |
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313 @code{triplequad} functions for integrals over two and three |
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314 variables. For example: |
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315 |
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316 @example |
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317 @group |
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318 I = dblquad (@@(x, y) sin (pi*x.*y) .* sqrt (x.*y), 0, 1, 0, 1) |
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319 @result{} 0.30022 |
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320 @end group |
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321 @end example |
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322 |
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323 @DOCSTRING(dblquad) |
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324 |
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325 @DOCSTRING(triplequad) |
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326 |
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327 The above mentioned approach works, but is fairly slow, and that problem |
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328 increases exponentially with the dimensionality of the integral. Another |
6741 | 329 possible solution is to use Orthogonal Collocation as described in the |
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330 previous section (@pxref{Orthogonal Collocation}). The integral of a function |
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331 @math{f(x,y)} for @math{x} and @math{y} between 0 and 1 can be approximated |
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332 using @math{n} points by |
6741 | 333 @tex |
334 $$ | |
335 \int_0^1 \int_0^1 f(x,y) d x d y \approx \sum_{i=1}^n \sum_{j=1}^n q_i q_j f(r_i, r_j), | |
336 $$ | |
337 @end tex | |
338 @ifnottex | |
339 the sum over @code{i=1:n} and @code{j=1:n} of @code{q(i)*q(j)*f(r(i),r(j))}, | |
340 @end ifnottex | |
341 where @math{q} and @math{r} is as returned by @code{colloc(n)}. The | |
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342 generalization to more than two variables is straight forward. The |
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343 following code computes the studied integral using @math{n=8} points. |
6741 | 344 |
345 @example | |
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346 @group |
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347 f = @@(x,y) sin (pi*x*y') .* sqrt (x*y'); |
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348 n = 8; |
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349 [t, ~, ~, q] = colloc (n); |
6741 | 350 I = q'*f(t,t)*q; |
351 @result{} 0.30022 | |
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352 @end group |
6741 | 353 @end example |
354 | |
355 @noindent | |
356 It should be noted that the number of points determines the quality | |
357 of the approximation. If the integration needs to be performed between | |
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358 @math{a} and @math{b}, instead of 0 and 1, then a change of variables is needed. |
6741 | 359 |