Lattice Builder Manual
Software Package for Constructing Rank-1 Lattices
tutorial/WeightedFigureOfMeritCBC.cc

This example shows how to instantiate a weighted figure of merit and perform a CBC search for the best lattice.

// Copyright (c) 2012 David Munger, Pierre L'Ecuyer, Université de Montréal.
//
// This file is part of Lattice Builder.
//
// Lattice Builder is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// Lattice Builder 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 General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with Lattice Builder. If not, see <http://www.gnu.org/licenses/>.
#include "latbuilder/WeightedFigureOfMerit.h"
#include "latcommon/ProductWeights.h"
#include "latcommon/CoordinateSets.h"
#include "latbuilder/ProjDepMerit/Spectral.h"
#include "latcommon/NormaBestLat.h"
#include "latbuilder/Accumulator.h"
#include "latbuilder/Storage.h"
#include "latbuilder/Functor/binary.h"
#include "latbuilder/LatSeq/CBC.h"
#include "latbuilder/GenSeq/CoprimeIntegers.h"
#include "latbuilder/TextStream.h"
#include <iostream>
#include <limits>
using namespace LatBuilder;
using TextStream::operator<<;
template <typename T, typename... ARGS>
std::unique_ptr<T> unique(ARGS&&... args)
{ return std::unique_ptr<T>(new T(std::forward<ARGS>(args)...)); }
class Observer {
public:
Observer() { reset(); }
// initializes the best observed merit value to infinity
void reset() { m_bestMerit = std::numeric_limits<Real>::infinity(); }
// returns the best observed lattice
const LatDef& bestLat() { return m_bestLat; }
// returns the best observed merit value
const Real bestMerit() { return m_bestMerit; }
// notifies the observer that the merit value of a new candidate lattice has
// been observed; updates the best observed candidate lattice if necessary
void observe(const LatDef& lat, Real merit)
{
std::cout << lat << "\t:\t" << merit;
if (merit < m_bestMerit) {
std::cout << " <-- best";
m_bestMerit = merit;
m_bestLat = lat;
}
std::cout << std::endl;
}
private:
LatDef m_bestLat;
Real m_bestMerit;
};
template <LatType L, Compress C>
void test(const Storage<L, C>& storage, Dimension dimension)
{
auto weights = unique<LatCommon::ProductWeights>();
weights->setDefaultWeight(0.7);
WeightedFigureOfMerit<ProjDep, Functor::Max> figure(2, std::move(weights));
std::cout << "figure of merit: " << figure << std::endl;
// sequence of lattice definitions
auto baseLat = createLatDef(storage.sizeParam());
auto initialMerit = storage.createMeritValue(0.0);
auto eval = figure.evaluator(storage);
while (baseLat.dimension() < dimension) {
Dimension baseDim = baseLat.dimension();
auto latSeq = LatSeq::cbc(
baseLat,
Coprime(baseDim == 0 ? 2 : storage.sizeParam().numPoints())
);
std::cout << "CBC search for dimension: " << (baseDim + 1) << std::endl;
std::cout << " base lattice: " << baseLat << std::endl;
std::cout << " base merit value: " << initialMerit << std::endl;
// base projections
FromRanges baseProjections{
0, baseDim, // range for dimension
0, baseDim - 1 // range for coordinate index
};
// add current coordinate to the base projections
AddCoordinate<FromRanges> newProjections(
baseProjections,
baseDim // current coordinate index
);
std::cout << " new projections: " << newProjections << std::endl;
Observer obs;
for (const auto& lat : latSeq) {
// compute merit value of lattice for all projections
auto merit = eval(lat, newProjections, initialMerit);
// notify the observer
obs.observe(lat, merit);
}
std::cout << "BEST LATTICE: " << obs.bestLat() << " with merit value " << obs.bestMerit() << std::endl;
baseLat = obs.bestLat();
initialMerit = obs.bestMerit();
}
}
int main()
{
Dimension dim = 3;
return 0;
}