/usr/include/openturns/LowDiscrepancySequenceImplementation.hxx is in libopenturns-dev 1.2-2.
This file is owned by root:root, with mode 0o644.
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/**
* @file LowDiscrepancySequenceImplementation.hxx
* @brief This class is a top-level class for low discrepancy sequences
* simulation algorithms. It delegates to its children the effective
* history strategy.
*
* Copyright (C) 2005-2013 EDF-EADS-Phimeca
*
* This library is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* along with this library. If not, see <http://www.gnu.org/licenses/>.
*
* @author schueller
* @date 2012-07-16 15:59:45 +0200 (Mon, 16 Jul 2012)
*/
#ifndef OPENTURNS_LOWDISCREPANCYSEQUENCEIMPLEMENTATION_HXX
#define OPENTURNS_LOWDISCREPANCYSEQUENCEIMPLEMENTATION_HXX
#include "PersistentObject.hxx"
#include "Interval.hxx"
#include "Indices.hxx"
#include "NumericalPoint.hxx"
#include "NumericalSample.hxx"
#include "Collection.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class LowDiscrepancySequenceImplementation
*/
class LowDiscrepancySequenceImplementation
: public PersistentObject
{
CLASSNAME;
public:
/** Constructor with parameters */
explicit LowDiscrepancySequenceImplementation(const UnsignedLong dimension = 1);
/** Virtual constructor */
virtual LowDiscrepancySequenceImplementation * clone() const;
/** initialize the sequence */
virtual void initialize(const UnsignedLong dimension);
/** Dimension accessor */
UnsignedLong getDimension() const;
/** Generate a quasi-random vector of numbers uniformly distributed over [0, 1) */
virtual NumericalPoint generate();
/** Generate a sample of pseudo-random vectors of numbers uniformly distributed over [0, 1) */
virtual NumericalSample generate(const UnsignedLong size);
/** Compute the star discrepancy of a sample uniformly distributed over [0, 1) */
static NumericalScalar ComputeStarDiscrepancy(const NumericalSample & sample);
/** String converter */
virtual String __repr__() const;
/** Method save() stores the object through the StorageManager */
virtual void save(Advocate & adv) const;
/** Method load() reloads the object from the StorageManager */
virtual void load(Advocate & adv);
private:
/** Compute the local discrepancy of a sample, given a multidimensionnal interval */
static NumericalScalar ComputeLocalDiscrepancy(const NumericalSample & sample,
const Interval & interval);
protected:
typedef Collection<Unsigned64BitsInteger> Unsigned64BitsIntegerCollection;
typedef PersistentCollection<Unsigned64BitsInteger> Unsigned64BitsIntegerPersistentCollection;
/** Get the needed prime numbers */
static Unsigned64BitsIntegerCollection GetPrimeNumbers(const Indices & indices);
/** Compute the n first prime numbers */
static Unsigned64BitsIntegerCollection ComputeFirstPrimeNumbers(const UnsignedLong n);
/** Compute the least prime number greater or equal to n */
static Unsigned64BitsInteger ComputeNextPrimeNumber(const UnsignedLong n);
/** Dimension parameter */
UnsignedLong dimension_;
} ; /* class LowDiscrepancySequenceImplementation */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_LOWDISCREPANCYSEQUENCEIMPLEMENTATION_HXX */
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