Difference between revisions of "ApCoCoA-1:Num.CABM"
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<title>Num.CABM</title> | <title>Num.CABM</title> | ||
| − | <short_description>Computes the border basis of an almost vanishing ideal for a set of points.</short_description> | + | <short_description>Computes the border basis of an almost vanishing ideal for a set of complex points.</short_description> |
<syntax> | <syntax> | ||
Num.CABM(PointsReal:MAT, PointsComp:MAT, Epsilon:RAT):Object | Num.CABM(PointsReal:MAT, PointsComp:MAT, Epsilon:RAT):Object | ||
| Line 19: | Line 19: | ||
<itemize> | <itemize> | ||
| − | <item>@param <em>PointsReal</em> The real | + | <item>@param <em>PointsReal</em> The real part of the points for which a border basis is computed.</item> |
| − | <item>@param <em>PointsComp</em> The | + | <item>@param <em>PointsComp</em> The imaginary part of the points for which a border basis is computed.</item> |
<item>@param <em>Epsilon</em> A positive rational number describing the maximal admissible least squares error for a polynomial. (Bigger values for <tt>Epsilon</tt> lead to bigger errors of the polynomials evaluated at the point set). <tt>Epsilon</tt> should be in the interval (0,1). As a rule of thumb, <tt>Epsilon</tt> is the expected percentage of error on the input points. </item> | <item>@param <em>Epsilon</em> A positive rational number describing the maximal admissible least squares error for a polynomial. (Bigger values for <tt>Epsilon</tt> lead to bigger errors of the polynomials evaluated at the point set). <tt>Epsilon</tt> should be in the interval (0,1). As a rule of thumb, <tt>Epsilon</tt> is the expected percentage of error on the input points. </item> | ||
| Line 32: | Line 32: | ||
<item>@param <em>Delta</em> A positiv rational number. <tt>Delta</tt> describes the computing precision. In different steps, it is crucial, if a value is 0 or not. The algorithm assumes every value in <tt>[-Delta, Delta]</tt> to be 0. The default value for <tt>Delta</tt> is 0.00000000001.</item> | <item>@param <em>Delta</em> A positiv rational number. <tt>Delta</tt> describes the computing precision. In different steps, it is crucial, if a value is 0 or not. The algorithm assumes every value in <tt>[-Delta, Delta]</tt> to be 0. The default value for <tt>Delta</tt> is 0.00000000001.</item> | ||
| − | <item>@param <em>NormalizeType</em> | + | <item>@param <em>NormalizeType</em> An integer of the range 1..4. The default value is 2. This parameter describes, if/how the input points are normalized. If <tt>NormalizeType</tt> equals 1, each coordinate is divided by the maximal absolute value of the corresponding column of the matrix. This ensures that all coordinates of points are in [-1,1]. With <tt>NormalizeType=2</tt> no normalization is done at all. <tt>NormalizeType=3</tt> shifts each coordinate to [-1,1]. So it's minimum is mapped to -1 and the maximum to one, describing a unique affine mapping. The last option is <tt>NormalizeType=4</tt>. In this case, each coordinate is normalized, using the euclidian norm of the column.</item> |
</itemize> | </itemize> | ||
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<see>Introduction to CoCoAServer</see> | <see>Introduction to CoCoAServer</see> | ||
<see>Num.SubABM</see> | <see>Num.SubABM</see> | ||
| + | <see>Num.ABM</see> | ||
| + | <see>Num.BBABM</see> | ||
| + | <see>Num.DABM</see> | ||
</seealso> | </seealso> | ||
<types> | <types> | ||
| Line 59: | Line 62: | ||
<type>points</type> | <type>points</type> | ||
</types> | </types> | ||
| − | <key> | + | <key>CABM</key> |
| − | <key>Num. | + | <key>Num.CABM</key> |
| − | <key>numerical. | + | <key>numerical.CABM</key> |
<wiki-category>Package_numerical</wiki-category> | <wiki-category>Package_numerical</wiki-category> | ||
</command> | </command> | ||
Revision as of 08:31, 25 May 2010
Num.CABM
Computes the border basis of an almost vanishing ideal for a set of complex points.
Syntax
Num.CABM(PointsReal:MAT, PointsComp:MAT, Epsilon:RAT):Object Num.CABM(PointsReal:MAT, PointsComp:MAT, Epsilon:RAT, Delta:RAT, NormalizeType:INT):Object
Description
Please note: The function(s) explained on this page is/are using the ApCoCoAServer. You will have to start the ApCoCoAServer in order to use it/them.
This command computes a border basis of an almost vanishing ideal for a set of complex points.
The current ring has to be a ring over the rational numbers with a standard-degree
compatible term-ordering. The matrix PointsReal and PointsComp contain the points: each
point is a row in the matrix, so the number of columns must equal the number of indeterminates in the current ring.
@param PointsReal The real part of the points for which a border basis is computed.
@param PointsComp The imaginary part of the points for which a border basis is computed.
@param Epsilon A positive rational number describing the maximal admissible least squares error for a polynomial. (Bigger values for Epsilon lead to bigger errors of the polynomials evaluated at the point set). Epsilon should be in the interval (0,1). As a rule of thumb, Epsilon is the expected percentage of error on the input points.
@return A list of two results. First the border basis as a list of polynomials, second the vector space basis of P/I as a list of terms.
The following parameters are optional:
@param Delta A positiv rational number. Delta describes the computing precision. In different steps, it is crucial, if a value is 0 or not. The algorithm assumes every value in [-Delta, Delta] to be 0. The default value for Delta is 0.00000000001.
@param NormalizeType An integer of the range 1..4. The default value is 2. This parameter describes, if/how the input points are normalized. If NormalizeType equals 1, each coordinate is divided by the maximal absolute value of the corresponding column of the matrix. This ensures that all coordinates of points are in [-1,1]. With NormalizeType=2 no normalization is done at all. NormalizeType=3 shifts each coordinate to [-1,1]. So it's minimum is mapped to -1 and the maximum to one, describing a unique affine mapping. The last option is NormalizeType=4. In this case, each coordinate is normalized, using the euclidian norm of the column.
Example
Use P ::= Q[x]; PointsReal := Mat([[0],[0]]); PointsComp := Mat([[1],[-1]]); Res := Num.CABM(PointsReal, PointsComp, 0.1); Dec(Res,3); -- CoCoAServer: computing Cpu Time = 0 ------------------------------- [[<quotes>-0.707 x^2 -0.707 </quotes>, <quotes>0</quotes>], [<quotes>1</quotes>, <quotes> x </quotes>]] -------------------------------
See also
