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FastConvergenceEstimator
- Class in
de.torstennahm.integrate.error
Provides an estimate based on the assumption that the integral values shows logarithmic convergence.
FastConvergenceEstimator()
- Constructor for class de.torstennahm.integrate.error.
FastConvergenceEstimator
Create the convergence estimator with a default sample factor of 1.1.
FastConvergenceEstimator(double)
- Constructor for class de.torstennahm.integrate.error.
FastConvergenceEstimator
Create the convergence estimator with the specified sample factor.
FastIndex
- Class in
de.torstennahm.integrate.sparse.index
Implements
Index
.
FastIndex()
- Constructor for class de.torstennahm.integrate.sparse.index.
FastIndex
Creates a new fast index.
FastIndex(Index)
- Constructor for class de.torstennahm.integrate.sparse.index.
FastIndex
Creates an new
FastIndex
from any
Index
.
FastIndex(SparseIntVector)
- Constructor for class de.torstennahm.integrate.sparse.index.
FastIndex
Creates a new
FastIndex
from a
PackedIntVector
.
FastIndex(int[])
- Constructor for class de.torstennahm.integrate.sparse.index.
FastIndex
Creates a fast index from an array.
FlatIndexGenerator
- Class in
de.torstennahm.integrate.sparse.index
Iterates over all indices with a given dimension, or with infinite dimension.
FlatIndexGenerator(int)
- Constructor for class de.torstennahm.integrate.sparse.index.
FlatIndexGenerator
Creates the index iterator.
FlatIndexGenerator(int, int, int)
- Constructor for class de.torstennahm.integrate.sparse.index.
FlatIndexGenerator
Creates the index generator with specified minimum and maximum length.
functionCalls()
- Method in interface de.torstennahm.integrate.
IntegrationResult
Returns the number of times the integrand function has been evaluated.
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