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F

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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