diff Lib/fftw-3.2.1/doc/html/.svn/text-base/Complex-Multi_002dDimensional-DFTs.html.svn-base @ 15:585caf503ef5 tip

Tidy up for ROLI
author Geogaddi\David <d.m.ronan@qmul.ac.uk>
date Tue, 17 May 2016 18:50:19 +0100
parents 636c989477e7
children
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--- a/Lib/fftw-3.2.1/doc/html/.svn/text-base/Complex-Multi_002dDimensional-DFTs.html.svn-base	Wed May 04 11:02:59 2016 +0100
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-
-<h3 class="section">2.2 Complex Multi-Dimensional DFTs</h3>
-
-<p>Multi-dimensional transforms work much the same way as one-dimensional
-transforms: you allocate arrays of <code>fftw_complex</code> (preferably
-using <code>fftw_malloc</code>), create an <code>fftw_plan</code>, execute it as
-many times as you want with <code>fftw_execute(plan)</code>, and clean up
-with <code>fftw_destroy_plan(plan)</code> (and <code>fftw_free</code>).  The only
-difference is the routine you use to create the plan:
-
-<pre class="example">     fftw_plan fftw_plan_dft_2d(int n0, int n1,
-                                fftw_complex *in, fftw_complex *out,
-                                int sign, unsigned flags);
-     fftw_plan fftw_plan_dft_3d(int n0, int n1, int n2,
-                                fftw_complex *in, fftw_complex *out,
-                                int sign, unsigned flags);
-     fftw_plan fftw_plan_dft(int rank, const int *n,
-                             fftw_complex *in, fftw_complex *out,
-                             int sign, unsigned flags);
-</pre>
-   <p><a name="index-fftw_005fplan_005fdft_005f2d-38"></a><a name="index-fftw_005fplan_005fdft_005f3d-39"></a><a name="index-fftw_005fplan_005fdft-40"></a>
-These routines create plans for <code>n0</code> by <code>n1</code> two-dimensional
-(2d) transforms, <code>n0</code> by <code>n1</code> by <code>n2</code> 3d transforms,
-and arbitrary <code>rank</code>-dimensional transforms, respectively.  In the
-<a name="index-rank-41"></a>third case, <code>n</code> is a pointer to an array <code>n[rank]</code> denoting
-an <code>n[0]</code> by <code>n[1]</code> by <small class="dots">...</small> by <code>n[rank-1]</code>
-transform.  All of these transforms operate on contiguous arrays in
-the C-standard <dfn>row-major</dfn> order, so that the last dimension has
-the fastest-varying index in the array.  This layout is described
-further in <a href="Multi_002ddimensional-Array-Format.html#Multi_002ddimensional-Array-Format">Multi-dimensional Array Format</a>.
-
-   <p>You may have noticed that all the planner routines described so far
-have overlapping functionality.  For example, you can plan a 1d or 2d
-transform by using <code>fftw_plan_dft</code> with a <code>rank</code> of <code>1</code>
-or <code>2</code>, or even by calling <code>fftw_plan_dft_3d</code> with <code>n0</code>
-and/or <code>n1</code> equal to <code>1</code> (with no loss in efficiency).  This
-pattern continues, and FFTW's planning routines in general form a
-&ldquo;partial order,&rdquo; sequences of
-<a name="index-partial-order-42"></a>interfaces with strictly increasing generality but correspondingly
-greater complexity.
-
-   <p><code>fftw_plan_dft</code> is the most general complex-DFT routine that we
-describe in this tutorial, but there are also the advanced and guru interfaces,
-<a name="index-advanced-interface-43"></a><a name="index-guru-interface-44"></a>which allow one to efficiently combine multiple/strided transforms
-into a single FFTW plan, transform a subset of a larger
-multi-dimensional array, and/or to handle more general complex-number
-formats.  For more information, see <a href="FFTW-Reference.html#FFTW-Reference">FFTW Reference</a>.
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