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Commit b1caca43 authored by Jean-Eric Campagne's avatar Jean-Eric Campagne
Browse files

(JEC) 14/10/15 improve the Local Integration strate (quadinteg.h) to compute... 

(JEC) 14/10/15 improve the Local Integration strate (quadinteg.h) to compute the laguerre2bessel coeffs.
parent 2b9028c2
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Showing with 153 additions and 119 deletions
src/lagsht_testsuite.cc
View file @ b1caca43
......@@ -124,7 +124,7 @@ void MultiLaguerreTransformSdtAlone() {
fnOrig[i] = complex<r_8>(rv,iv);
}
#if DEBUG >=2
std::copy(fnOrig.begin(), fnOrig.end(), std::ostream_iterator<char>(std::cout, " "));
std::copy(fnOrig.begin(), fnOrig.end(), std::ostream_iterator< complex<r_8> >(std::cout, " "));
#endif
LaguerreTransform trans(N,R);
......@@ -136,7 +136,7 @@ void MultiLaguerreTransformSdtAlone() {
trans.MultiSynthesis(fnOrig,fi,mapSize);
#if DEBUG >=2
std::copy(fi.begin(), fi.end(), std::ostream_iterator<char>(std::cout, " "));
std::copy(fi.begin(), fi.end(), std::ostream_iterator< complex<r_8> >(std::cout, " "));
#endif
vector< complex<r_8> > fn(Ntot);
......@@ -221,7 +221,7 @@ void MultiSphericalLaguerreTransform() {
}//end loop on shell
#if DEBUG >=2
std::copy(flmnOrig.begin(), flmnOrig.end(), std::ostream_iterator<char>(std::cout, " "));
std::copy(flmnOrig.begin(), flmnOrig.end(), std::ostream_iterator< complex<r_8> >(std::cout, " "));
#endif
......@@ -342,7 +342,7 @@ void TestLaguerre2Bessel() {
}//end loop on shell
#if DEBUG >=2
std::copy(flmnOrig.begin(), flmnOrig.end(), std::ostream_iterator<char>(std::cout, " "));
std::copy(flmnOrig.begin(), flmnOrig.end(), std::ostream_iterator< complex<r_8> >(std::cout, " "));
#endif
cout << "tstack 1 End" <<endl;
......@@ -558,7 +558,6 @@ int main(int narg, char *arg[]) {
param.Lmax = Lmax;
param.N = N;
if(Pmax<N){Pmax = 32*N; cout << "(Warning): Pmax<Nmax => modify the value to "<< Pmax << endl;}
param.Pmax = Pmax;
param.R = R;
param.alpha = 2;
......@@ -617,6 +616,7 @@ int main(int narg, char *arg[]) {
case 5:
{
if(Pmax<N){Pmax = 16*N; cout << "(Warning): Pmax<Nmax => modify the value to "<< Pmax << endl;}
tstack_push("TestLaguerre2Bessel");
TestLaguerre2Bessel();
tstack_pop("TestLaguerre2Bessel");
......
src/laguerre2bessel.cc
View file @ b1caca43
......@@ -7,6 +7,8 @@
#include "walltimer.h" //timing
#include <omp.h> //TEST
namespace LagSHT {
/* Version 0: test de calcul des J_{lnp} via une quadrature de Laguerre
......@@ -60,50 +62,40 @@ namespace LagSHT {
facts[n] = facts[n-1]*sqrt(((r_8)n)/((r_8)(n+alpha)) );
}
// cout << "Rmax, Lmax, Nmax, Pmax: "
// << Rmax_ << ", "
// << Lmax_ << ", "
// << Nmax_ << ", "
// << Pmax_ << endl;
jnu_ = new Bessel(Lmax_,Pmax_);
int Jstride = Lmax_*Pmax_; // nbre of (l,p) couples
Jlnp_.resize(Nmax_*Jstride);
vector<r_8> vTest = lagTrans_->GetNodes();
r_8 integLowerBound = 0.;
r_8 integUpperBound = 2*Rmax_/tau; //for the integral
r_8 integUpperBound = 10*Rmax_/tau; //for the integral
r_8 tol = 1e-6;
tstack_push("J Integ compute");
Quadrature<r_8,Integrator_t>::values_t loc_val;
for(int p=0; p<Pmax_; p++){
for(int l=0; l<Lmax_; l++){
int ploff7 = p + l*Pmax_;
r_8 klp = (*jnu_)(l,p)/Rmax_*tau; //tau-rescaling of the original klp definition
for (int n=0; n<Nmax_; n++){
LaguerreFuncQuad* Ln = new LaguerreFuncQuad(n);
IntFunc1D f(l,klp,Ln);
theQuad.SetFuncBounded(f,integLowerBound,integUpperBound);
Quadrature<r_8,Integrator_t>::values_t loc_val = theQuad.LocalAdapStrat(tol);
loc_val = theQuad.LocalAdapStrat(tol);
Jlnp_[ploff7 + n*Jstride] = loc_val.first*facts[n];
delete Ln;
}//n
}//l
}//p
tstack_pop("J Integ compute");
/*
std::ofstream ofs;
ofs.open ("jlnp.txt", std::ofstream::out);
Print(ofs,1);
ofs.close();
*/
tstack_pop("J Integ compute");
}//ComputeJlpnInteg
......
src/laguerreBuilder.h
View file @ b1caca43
......@@ -33,7 +33,7 @@
using namespace std;
#define DEBUG 1
#define DEBUG 0
namespace LagSHT {
......@@ -219,13 +219,13 @@ protected:
int alphaFact = 1;
for(int i=1;i<=alpha_; i++) alphaFact *= i;
#if DEBUG >= 1
r_16 sumRTh = (r_16)(N*(N+alpha_));
r_16 sumWTh = (r_16)(alphaFact);
#if DEBUG >= 1
cout << "Sum roots = " << sumR << " -> diff with theory: " << sumR - sumRTh << endl;
cout << "Sum weights = " << sumW << " -> diff with theory: " << sumW - sumWTh << endl;
#endif
if (fabs(sumR-sumRTh)>(0.000001*sumRTh)) {
cout << " !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n"
......@@ -242,6 +242,7 @@ protected:
<< " !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n"
<< endl;
}
#endif
}//nodes_and_weights
......
src/quadinteg.h
View file @ b1caca43
......@@ -24,8 +24,6 @@
* main author: J.E Campagne
*/
// include standard c/c++
#include <cmath>
#include <cfloat>
......@@ -40,20 +38,22 @@
#include <string>
#include <limits> //for precision features
#include <iterator> //ostream_iterator
#include "walltimer.h" //timing
#define NAMESPACETAG LagSHT
using namespace std;
#define DUMPLEV 0
namespace NAMESPACETAG {
using namespace std; //See if better on each routine
namespace LagSHT {
/* 1D function Class (From Sophya)
/* 1D function Class
*/
/*
/*!
\class GenericFunction
\brief Base class definition for objects representing functions
*/
......@@ -97,7 +97,7 @@ class Function1D : public ClassFunc1D {
typedef Function1D Function;
/*
/*!
\class Quadrature
\brief quadrature defined in [0,1]
*/
......@@ -110,7 +110,7 @@ public:
typedef pair< bounds_t , values_t > result_t; // { {a,b},{int,err} }
typedef list< result_t > colresults_t; // collection of result_t
/*
/*!
Utility Sort funtion according to error (largest first)
*/
struct Comparator {
......@@ -121,8 +121,39 @@ public:
}
};
/*! Class for intermediate recursive result
*/
struct ResultClass {
T integral;
T error;
vector<T> scaledNodes;
ResultClass(T integ, T err, const vector<T>& vec):
integral(integ), error(err), scaledNodes(vec) {}
ResultClass(const ResultClass& other):
integral(other.integral),error(other.error),scaledNodes(other.scaledNodes){}
ResultClass& operator=(const ResultClass& other){
if(this == &other) return *this;
integral = other.integral;
error = other.error;
scaledNodes = other.scaledNodes;
return *this;
}
void Print() {
cout << "Integral = " << integral << " +/- " << error <<endl;
cout << "Nodes <" << setprecision(10);
copy(scaledNodes.begin(), scaledNodes.end(), ostream_iterator<T>(cout, ", "));
cout << ">" << setprecision(6)<<endl;
}
};
public:
/*
/*!
Default Ctor
*/
Quadrature(string name="",size_t npts=0,string fName="", bool init=false):
......@@ -147,14 +178,14 @@ public:
fout.close();
}//save
} catch (::exception& ex) {
} catch (exception& ex) {
string msg = "Init ";
msg += name + ": ERROR ";
msg += ex.what();
::cerr << msg << endl;
cerr << msg << endl;
exit(EXIT_FAILURE);
} catch (...) {
::cerr << "Init " << name << " unexpected error " << endl;
cerr << "Init " << name << " unexpected error " << endl;
exit(EXIT_FAILURE);
}
} else {
......@@ -170,21 +201,21 @@ public:
inFile >> absc_[i]>> absw_[i] >> errw_[i];
}
inFile.close();
} catch (::ifstream::failure e) {
::cerr << name <<" Exception opening/reading/closing file <"<<fName<<">"<<::endl;
} catch (ifstream::failure e) {
cerr << name <<" Exception opening/reading/closing file <"<<fName<<">"<<endl;
exit(EXIT_FAILURE);
} //try/catch read
}//initialisation
}//Ctor
/*
/*!
Dtor: care cannot be virtual because of template
*/
~Quadrature() {}
/*
/*!
Rescale abscissa and weights from [xInmin, xInmax] to [xOutmin, xOutmax]
Typical use-case the abs & weights are computed for (-1,1) range
and we need to translate them to (0,1) or vice-versa
......@@ -202,15 +233,15 @@ public:
}
}//RescaleAbsWeights
/*
/*!
Set function
*/
void SetFunction(ClassFunc1D& aFunc) { func_ = &aFunc;}
/*
/*!
Set the integration bounds
*/
void SetBounds(T xmin, T xmax) { initBounds_ = make_pair(xmin,xmax); }
/*
/*!
Set both Function & bounds
*/
void SetFuncBounded(ClassFunc1D& aFunc, T xmin, T xmax) {
......@@ -218,31 +249,31 @@ public:
SetBounds(xmin,xmax);
}
/*
/*!
Get abcissa, abscissa weights, error weights
*/
vector<T> GetAbscissa() const {return absc_;}
vector<T> GetAbscissaW() const {return absw_;}
vector<T> GetErrorW() const {return errw_;}
/*
/*!
Get number of points used
*/
size_t GetNPoints() const {return npts_;}
size_t GetOrder() const {return 0;} //should be reimplemented
/*
/*!
Debug
*/
void ToOut(::ostream& out, const result_t& aResult) {
void ToOut(ostream& out, const result_t& aResult) {
out << "{" << aResult.first.first << ",,"
<< aResult.first.second << "}, "
<< aResult.second.first << ", "
<< aResult.second.second << "}";
}//ToOut
void ToOut(::ostream& out, const colresults_t& aColRes) {
void ToOut(ostream& out, const colresults_t& aColRes) {
typename colresults_t::const_iterator iRes,iEnd;
iEnd = aColRes.end();
out << "{";
......@@ -252,80 +283,89 @@ public:
out << "}" << endl;
}//ToOut
/*
/*!
Compute func integral between the current bounds
The abscissa/weights of the Quadratures are defined for (0,1) interval.
*/
values_t IntEval(const bounds_t& curBounds) {
ResultClass IntEval(const bounds_t& curBounds) {
T integral=0.;
T error = 0.;
T boundsDist = curBounds.second - curBounds.first;
vector<T>xi(npts_);
for (size_t i=0;i<npts_;i++){
T xi = curBounds.first + absc_[i]*boundsDist;
T fi = (*func_)(xi);
xi[i] = curBounds.first + absc_[i]*boundsDist;
T fi = (*func_)(xi[i]);
integral += absw_[i] * fi;
error += errw_[i] * fi;
}
return make_pair(integral*boundsDist,fabs((double)error*boundsDist));
return ResultClass(integral*boundsDist,fabs((double)error*boundsDist),xi);
}//IntEval
/* Recursive computation of integral on a finite range
/*! Recursive computation of integral on a finite range
\input curBounds = {x0,x1}
\input cut: threshold to be compared to the integral error to stop or not
\output : {integral, error}
*/
ResultClass LocalAdapStratRecur(const bounds_t& curBounds, T cut, int maxdepth, int depth=0) {
Todo: 1) improve the partitionning (eg. Mathematica uses the quadrature abscissa rescaled)
2) revisit the condition
*/
values_t LocalAdapStratRecur(const bounds_t& curBounds, T cut){
#if DUMPLEV > 2
cout << "depth ["<<depth<<"]";
for(int i=0;i<depth;i++) cout << "...";
#endif
values_t curValues = IntEval(curBounds); //{int,err}
//Not used T integral = curValues.first;
T error = curValues.second;
if (error <= cut) return curValues;
//split the initial range in two partition and decrease by 2 the cut on each part
T xmiddle = (curBounds.first+curBounds.second)*0.5; //xmid
bounds_t lowerB = make_pair(curBounds.first,xmiddle); //{x0,xmid}
values_t valLow = LocalAdapStratRecur(lowerB,cut/2.0);
bounds_t upperB = make_pair(xmiddle,curBounds.second); //{xmid,x1}
values_t valUp = LocalAdapStratRecur(upperB,cut/2.0);
ResultClass curResult = IntEval(curBounds); //{int, err, nodes}
//total integral= sum of sub integral, idem for the error
return make_pair(valLow.first+valUp.first,valLow.second+valUp.second);
T error = curResult.error;
if (error <= cut || depth >= maxdepth){
#if DUMPLEV > 2
cout << "Int[" <<curBounds.first << ", " <<curBounds.second << "]: "
<< curResult.integral << " +/- " << curResult.error << ".... Ok" << endl;
#endif
if(depth == maxdepth) cout << "Warning, max recursive reached" <<endl;
return curResult;
}
int nnodes = curResult.scaledNodes.size();
int lastNodes=nnodes-1;
T integral = (T)0.;
error = (T)0.;
for(int i=0;i<lastNodes;i++){
ResultClass locres =
LocalAdapStratRecur(make_pair(curResult.scaledNodes[i],curResult.scaledNodes[i+1]),cut,maxdepth,depth+1);
integral += locres.integral;
error += locres.error;
}
return ResultClass(integral, error, curResult.scaledNodes);
}//LocalAdapStratRecur
/*
/*!
Local Adaptative Strategy
*/
values_t LocalAdapStrat(T tol = (T)1.0e-6,
size_t MaxNumRecurssion = 1000, // not used
size_t MinNumRecurssion = 5 // not used
size_t MaxNumRecurssion = 100
) {
bounds_t curBounds = initBounds_; // {a,b}
values_t curValues = IntEval(curBounds); //{int,err}
T integral = curValues.first;
T error = curValues.second;
ResultClass curResult = IntEval(curBounds); //{int, err, nodes}
T integral = curResult.integral;
T error = curResult.error;
result_t curResult = make_pair(curBounds,curValues); //{{a,b}, {int,err}}
T cut = tol*fabs((double)integral);
if (error <= cut) return curValues;
return LocalAdapStratRecur(curBounds,cut);
if (error <= cut) return make_pair(curResult.integral, curResult.error); //Mathematica exemple T cut = 50*tol*fabs((double)integral);
ResultClass tmp= LocalAdapStratRecur(curBounds,cut,MaxNumRecurssion);
return make_pair(tmp.integral, tmp.error);
}//LocalAdapStrat
/*
/*!
Global Adaptative Strategy of integration to obtain error<tol*integral
add a maximum number of iterations. 1000 is large enough and so may
signal a numerical problem.
......@@ -384,8 +424,10 @@ public:
}//eod while
//debug
/* cout << "GlobalAdapStrat end: {" << n << ", " << integral << ", " */
/* << error << "}" << endl; */
cout << "GlobalAdapStrat end: {" << n << ", " << integral << ", "
<< error << "}" << endl;
return make_pair(integral,error);
}//GlobalAdapStrat
......@@ -393,21 +435,21 @@ public:
protected:
string name_;
size_t npts_;
vector<T> absc_;
vector<T> absw_;
vector<T> errw_;
ClassFunc1D* func_;
bounds_t initBounds_;
string name_; //!< quadrature name
size_t npts_; //!< number of sampling nodes
vector<T> absc_; //!< sampling nodes abscissa
vector<T> absw_; //!< quadrature weights for integral
vector<T> errw_; //!< quadrature weights for error computation
ClassFunc1D* func_; //<! the function to integrate
bounds_t initBounds_; //<! the initial bounds
private:
/*
/*!
Explicit prohibit Copy Ctor for the time beeing
*/
Quadrature(const Quadrature&);
/*
/*!
Explicit prohibit Assignment Operator for the time beeing
*/
Quadrature& operator=(const Quadrature&);
......@@ -417,14 +459,14 @@ private:
template <typename T>
class ClenshawCurtisQuadrature : public Quadrature<T, ClenshawCurtisQuadrature<T> > {
public:
/*
/*!
Default Ctor
*/
ClenshawCurtisQuadrature():
Quadrature<T,ClenshawCurtisQuadrature<T> >("ClenshawCurtisQuadrature",39,"ClenshawCurtisRuleData-20.txt",false) {
}//Ctor
/*
/*!
Ctor used with a different number of points = 2n-1. Should implement ComputeAbsWeights
*/
ClenshawCurtisQuadrature(size_t n, string fName, bool init):
......@@ -433,7 +475,7 @@ public:
size_t GetOrder() const {return 2*this->npts_-1;}
/*
/*!
Implement the abscissa, weights and err weights in the range (0,1)
*/
void ComputeAbsWeights(string fName) throw(string) {
......@@ -473,11 +515,10 @@ public:
//Explicit rescaling (-1,1) -> (0,1)
this->RescaleAbsWeights();
}//ComputeAbsWeights
/*
/*!
ComputeAbsWeights more related to the original code
*/
void ComputeAbsWeights(int order, vector<T>& x, vector<T>& w) throw(string) {
......@@ -537,7 +578,7 @@ public:
}//ComputeAbsWeights
/*
/*!
Destructor
*/
~ClenshawCurtisQuadrature() {}
......@@ -552,7 +593,7 @@ public:
Quadrature<T,GaussKronrodQuadrature<T> >("GaussKronrodQuadrature",41,"GaussKronrodRuleData-20.txt",false) {
}//Ctor
/*
/*!
Ctor used with a different number of points = 2n+1. Should implement ComputeAbsWeights
*/
GaussKronrodQuadrature(size_t n, string fName, bool init):
......@@ -560,7 +601,7 @@ public:
size_t GetOrder() const {return 2*this->npts_+1;}
/*
/*!
Implement the abscissa, weights and err weights in the range (0,1)
*/
void ComputeAbsWeights(string fName) throw(string) {
......@@ -1264,7 +1305,7 @@ public:
}
//****************************************************************************80
/*
/*!
Destructor
*/
~GaussKronrodQuadrature() {}
......@@ -1274,7 +1315,7 @@ public:
template <typename T>
class GaussBerntsenEspelidQuadrature : public Quadrature<T, GaussBerntsenEspelidQuadrature<T> > {
public:
/*
/*!
Default Ctor
*/
GaussBerntsenEspelidQuadrature():
......@@ -1282,7 +1323,7 @@ public:
}//Ctor
/*
/*!
Ctor used with a different number of points = 2n+1. Should implement ComputeAbsWeights
*/
GaussBerntsenEspelidQuadrature(size_t n, string fName, bool init):
......@@ -1292,7 +1333,7 @@ public:
size_t GetOrder() const {return 2*this->npts_+1;}
/*
/*!
Implement the abscissa, weights and err weights in the range (0,1)
*/
void ComputeAbsWeights(string fName) throw(string) {
......@@ -1821,7 +1862,7 @@ public:
//****************************************************************************80
/*
/*!
Destructor
*/
~GaussBerntsenEspelidQuadrature() {}
......
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