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<html>
<head>
<title>
SPARSE_GRID_CC_DATASET - Create Clenshaw-Curtis Sparse Grid Dataset
</title>
</head>
<body bgcolor="#EEEEEE" link="#CC0000" alink="#FF3300" vlink="#000055">
<h1 align = "center">
SPARSE_GRID_CC_DATASET <br> Create Clenshaw-Curtis Sparse Grid Dataset
</h1>
<hr>
<p>
<b>SPARSE_GRID_CC_DATASET</b>
is a C++ program which
creates a Clenshaw-Curtis sparse grid dataset.
</p>
<h3 align = "center">
Usage:
</h3>
<p>
<blockquote>
<b>sparse_grid_cc_dataset</b> <i>dim_num</i> <i>level_max</i>
</blockquote>
where
<ul>
<li>
<i>dim_num</i> is the spatial dimension, typically between 2 and 10;
</li>
<li>
<i>level_max</i> is the sparse grid level, typically between 0 and 6,
which controls the number of points
in the grid. The 1D rules used will have order 2^(level_max)+1.
</li>
</ul>
</p>
<p>
Each sparse grid is stored using the "quadrature rule" format,
that is, as three files:
<ul>
<li>
an "R" or "region" file, which lists two points that bound the region;
</li>
<li>
a "W" or "weight" file, which lists the weight for each abscissa;
</li>
<li>
an "X" or "abscissa" file, which lists the abscissas of the rule.
</li>
</ul>
</p>
<p>
The abscissas are ordered to respect the natural nesting of the
sparse grids by level. That is, the file of level 3 points begins by
listing the points in the level 2 grid.
</p>
<h3 align = "center">
Licensing:
</h3>
<p>
The code described and made available on this web page is distributed
under the
<a href = "gnu_lgpl.txt">GNU LGPL</a> license.
</p>
<h3 align = "center">
Languages:
</h3>
<p>
<b>SPARSE_GRID_CC_DATASET</b> is available in
<a href = "../../c_src/sparse_grid_cc_dataset/sparse_grid_cc_dataset.html">a C version</a> and
<a href = "../../cpp_src/sparse_grid_cc_dataset/sparse_grid_cc_dataset.html">a C++ version</a> and
<a href = "../../f77_src/sparse_grid_cc_dataset/sparse_grid_cc_dataset.html">a FORTRAN77 version</a> and
<a href = "../../f_src/sparse_grid_cc_dataset/sparse_grid_cc_dataset.html">a FORTRAN90 version</a> and
<a href = "../../m_src/sparse_grid_cc_dataset/sparse_grid_cc_dataset.html">a MATLAB version.</a>
</p>
<h3 align = "center">
Related Data and Programs:
</h3>
<p>
<a href = "../../m_src/cc_display/cc_display.html">
CC_DISPLAY</a>,
a MATLAB library which
can compute and display Clenshaw Curtis grids in two dimensions,
as well as sparse grids formed from sums of Clenshaw Curtis grids.
</p>
<p>
<a href = "../../datasets/quadrature_rules/quadrature_rules.html">
QUADRATURE_RULES</a>,
a dataset directory of files which
defines quadrature rules;
a number of examples of sparse grid quadrature rules are included.
</p>
<p>
<a href = "../../cpp_src/sgmga/sgmga.html">
SGMGA</a>,
a C++ library which
creates sparse grids based on a mixture of 1D quadrature rules,
allowing anisotropic weights for each dimension.
</p>
<p>
<a href = "../../c_src/smolpack/smolpack.html">
SMOLPACK</a>,
a C library which
implements Novak and Ritter's method for estimating the integral
of a function over a multidimensional hypercube using sparse grids.
</p>
<p>
<a href = "../../cpp_src/sparse_grid_cc/sparse_grid_cc.html">
SPARSE_GRID_CC</a>,
a C++ library which
creates a Clenshaw-Curtis sparse grid.
</p>
<p>
<a href = "../../datasets/sparse_grid_cc/sparse_grid_cc.html">
SPARSE_GRID_CC</a>,
a dataset directory which
contains examples of Clenshaw-Curtis sparse grids.
</p>
<p>
<a href = "../../datasets/sparse_grid_f2/sparse_grid_f2.html">
SPARSE_GRID_F2</a>,
a dataset directory which
conains the abscissas of sparse
grids based on a Fejer Type 2 rule.
</p>
<p>
<a href = "../../cpp_src/sparse_grid_gl_dataset/sparse_grid_gl_dataset.html">
SPARSE_GRID_GL_DATASET</a>,
a C++ program which
creates a Gauss-Legendre sparse grid and writes the data to three files.
</p>
<p>
<a href = "../../datasets/sparse_grid_gp/sparse_grid_gp.html">
SPARSE_GRID_GP</a>,
a dataset directory which
contains the abscissas of sparse
grids based on a Gauss Patterson rule.
</p>
<p>
<a href = "../../cpp_src/sparse_grid_hermite_dataset/sparse_grid_hermite_dataset.html">
SPARSE_GRID_HERMITE_DATASET</a>,
a C++ program which
creates a Gauss-Hermite sparse grid and write the data to three files.
</p>
<p>
<a href = "../../cpp_src/sparse_grid_laguerre_dataset/sparse_grid_laguerre_dataset.html">
SPARSE_GRID_LAGUERRE_DATASET</a>,
a C++ program which
creates a Gauss-Laguerre sparse grid and write the data to three files.
</p>
<p>
<a href = "../../cpp_src/sparse_grid_mixed_dataset/sparse_grid_mixed_dataset.html">
SPARSE_GRID_MIXED_DATASET</a>,
a C++ program which
creates a sparse grid dataset based on a mixture of 1D rules.
</p>
<p>
<a href = "../../datasets/sparse_grid_ncc/sparse_grid_ncc.html">
SPARSE_GRID_NCC</a>,
a dataset directory which
contains the abscissas of sparse
grids based on a Newton Cotes closed rule.
</p>
<p>
<a href = "../../datasets/sparse_grid_nco/sparse_grid_nco.html">
SPARSE_GRID_NCO</a>,
a dataset directory which
contains the abscissas of sparse
grids based on a Newton Cotes open rule.
</p>
<p>
<a href = "../../cpp_src/sparse_grid_open_dataset/sparse_grid_open_dataset.html">
SPARSE_GRID_OPEN_DATASET</a>,
a C++ program which
creates a sparse grid dataset based on
open rules (Fejer 2, Gauss-Patterson, Newton-Cotes-Open).
</p>
<p>
<a href = "../../m_src/toms847/toms847.html">
TOMS847</a>,
a MATLAB program which
uses sparse grids to carry out multilinear hierarchical interpolation.
It is commonly known as SPINTERP, and is by Andreas Klimke.
</p>
<h3 align = "center">
Reference:
</h3>
<p>
<ol>
<li>
Volker Barthelmann, Erich Novak, Klaus Ritter,<br>
High Dimensional Polynomial Interpolation on Sparse Grids,<br>
Advances in Computational Mathematics,<br>
Volume 12, Number 4, 2000, pages 273-288.
</li>
<li>
Thomas Gerstner, Michael Griebel,<br>
Numerical Integration Using Sparse Grids,<br>
Numerical Algorithms,<br>
Volume 18, Number 3-4, 1998, pages 209-232.
</li>
<li>
Albert Nijenhuis, Herbert Wilf,<br>
Combinatorial Algorithms for Computers and Calculators,<br>
Second Edition,<br>
Academic Press, 1978,<br>
ISBN: 0-12-519260-6,<br>
LC: QA164.N54.
</li>
<li>
Fabio Nobile, Raul Tempone, Clayton Webster,<br>
A Sparse Grid Stochastic Collocation Method for Partial Differential
Equations with Random Input Data,<br>
SIAM Journal on Numerical Analysis,<br>
Volume 46, Number 5, 2008, pages 2309-2345.
</li>
<li>
Sergey Smolyak,<br>
Quadrature and Interpolation Formulas for Tensor Products of
Certain Classes of Functions,<br>
Doklady Akademii Nauk SSSR,<br>
Volume 4, 1963, pages 240-243.
</li>
<li>
Dennis Stanton, Dennis White,<br>
Constructive Combinatorics,<br>
Springer, 1986,<br>
ISBN: 0387963472,<br>
LC: QA164.S79.
</li>
</ol>
</p>
<h3 align = "center">
Source Code:
</h3>
<p>
<ul>
<li>
<a href = "sparse_grid_cc_dataset.cpp">sparse_grid_cc_dataset.cpp</a>, the source code.
</li>
<li>
<a href = "sparse_grid_cc_dataset.sh">sparse_grid_cc_dataset.sh</a>,
commands to compile the source code.
</li>
</ul>
</p>
<h3 align = "center">
Examples and Tests:
</h3>
<p>
Here are the files created by the command
<blockquote><b>
sparse_grid_cc_dataset 2 3
</b></blockquote>
<ul>
<li>
<a href = "sparse_grid_cc_dataset_output.txt">
sparse_grid_cc_dataset_output.txt</a>,
the output file.
</li>
<li>
<a href = "../../datasets/sparse_grid_cc/cc_d2_level3_r.txt">cc_d2_level3_r.txt</a>,
the "R" or "region" file.
</li>
<li>
<a href = "../../datasets/sparse_grid_cc/cc_d2_level3_w.txt">cc_d2_level3_w.txt</a>,
the "W" or "weight" file.
</li>
<li>
<a href = "../../datasets/sparse_grid_cc/cc_d2_level3_x.txt">cc_d2_level3_x.txt</a>,
the "X" or "abscissa" file.
</li>
</ul>
</p>
<h3 align = "center">
List of Routines:
</h3>
<p>
<ul>
<li>
<b>MAIN</b> is the main program for SPARSE_GRID_CC_DATASET.
</li>
<li>
<b>ABSCISSA_LEVEL_CLOSED_ND:</b> first level at which an abscissa is generated.
</li>
<li>
<b>CC_ABSCISSA</b> returns the I-th abscissa of the Clenshaw Curtis rule.
</li>
<li>
<b>CC_WEIGHTS</b> computes Clenshaw Curtis weights.
</li>
<li>
<b>CHOOSE</b> computes the binomial coefficient C(N,K).
</li>
<li>
<b>COMP_NEXT</b> computes the compositions of the integer N into K parts.
</li>
<li>
<b>I4_MAX</b> returns the maximum of two I4's.
</li>
<li>
<b>I4_MIN</b> returns the smaller of two I4's.
</li>
<li>
<b>I4_MODP</b> returns the nonnegative remainder of integer division.
</li>
<li>
<b>I4_POWER</b> returns the value of I^J.
</li>
<li>
<b>I4_TO_STRING</b> converts an I4 to a C++ string.
</li>
<li>
<b>I4VEC_PRODUCT</b> multiplies the entries of an integer vector.
</li>
<li>
<b>INDEX_TO_LEVEL_CLOSED</b> determines the level of a point given its index.
</li>
<li>
<b>LEVEL_TO_ORDER_CLOSED</b> converts a level to an order for closed rules.
</li>
<li>
<b>MULTIGRID_INDEX0</b> returns an indexed multidimensional grid.
</li>
<li>
<b>MULTIGRID_SCALE_CLOSED</b> renumbers a grid as a subgrid on a higher level.
</li>
<li>
<b>PRODUCT_WEIGHTS_CC</b> computes weights for a Clenshaw Curtis product rule.
</li>
<li>
<b>R8_EPSILON</b> returns the R8 roundoff unit.
</li>
<li>
<b>R8_HUGE</b> returns a "huge" R8.
</li>
<li>
<b>R8MAT_TRANSPOSE_PRINT_SOME</b> prints some of an R8MAT, transposed.
</li>
<li>
<b>R8MAT_WRITE</b> writes an R8MAT file with no header.
</li>
<li>
<b>R8VEC_DIRECT_PRODUCT2</b> creates a direct product of R8VEC's.
</li>
<li>
<b>R8VEC_PRINT_SOME</b> prints "some" of an R8VEC.
</li>
<li>
<b>S_LEN_TRIM</b> returns the length of a string to the last nonblank.
</li>
<li>
<b>SPARSE_GRID_CC</b> computes a sparse grid of Clenshaw Curtis points.
</li>
<li>
<b>SPARSE_GRID_CC_INDEX</b> indexes the points forming a sparse grid.
</li>
<li>
<b>SPARSE_GRID_CFN_SIZE</b> sizes a sparse grid of Closed Fully Nested points.
</li>
<li>
<b>SPARSE_GRID_CC_WEIGHTS</b> gathers the weights.
</li>
<li>
<b>TIMESTAMP</b> prints the current YMDHMS date as a time stamp.
</li>
<li>
<b>VEC_COLEX_NEXT2</b> generates vectors in colex order.
</li>
</ul>
</p>
<p>
You can go up one level to <a href = "../cpp_src.html">
the C++ source codes</a>.
</p>
<hr>
<i>
Last revised on 12 January 2010
</i>
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