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Valider 525d2d6e rédigé par Hugo TRACHINO's avatar Hugo TRACHINO
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./follow lance

parent 2e758036
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...@@ -17,7 +17,7 @@ namespace Transform ...@@ -17,7 +17,7 @@ namespace Transform
// to generate a point from a parameter i, you can use : // to generate a point from a parameter i, you can use :
ComplexMatrix res(xiVector.size(), startIndexes.size()); ComplexMatrix res(xiVector.size(), startIndexes.size());
for(unsigned int i = 0; i < xiVector.size(); i ++){ for(unsigned int i = 0; i < xiVector.size(); i ++){
Point endPoint(startPoint.omega, startPoint.size, xiVector[startIndexes[i]]); Point endPoint(startPoint.omega, startPoint.size, xiVector[i]);
std::vector<unsigned int> indexesResult = Follow::adaptativStep(startPoint, endPoint, startIndexes, distanceThreshold, minstepsize); std::vector<unsigned int> indexesResult = Follow::adaptativStep(startPoint, endPoint, startIndexes, distanceThreshold, minstepsize);
ComplexVector v(indexesResult.size()); ComplexVector v(indexesResult.size());
for(unsigned int j = 0; j < indexesResult.size(); j ++){ for(unsigned int j = 0; j < indexesResult.size(); j ++){
...@@ -41,8 +41,9 @@ namespace Transform ...@@ -41,8 +41,9 @@ namespace Transform
// NOTE: identical to the previous function but dumps all eigenvalues produced, not just targets, to outCsv // NOTE: identical to the previous function but dumps all eigenvalues produced, not just targets, to outCsv
// //
ComplexMatrix res(xiVector.size(), startIndexes.size()); ComplexMatrix res(xiVector.size(), startIndexes.size());
#pragma omp parallel for
for(unsigned int i = 0; i < xiVector.size(); i ++){ for(unsigned int i = 0; i < xiVector.size(); i ++){
Point endPoint(startPoint.omega, startPoint.size, xiVector[startIndexes[i]]); Point endPoint(startPoint.omega, startPoint.size, xiVector[i]);
std::vector<unsigned int> indexesResult = Follow::adaptativStep(startPoint, endPoint, startIndexes, distanceThreshold, minstepsize); std::vector<unsigned int> indexesResult = Follow::adaptativStep(startPoint, endPoint, startIndexes, distanceThreshold, minstepsize);
ComplexVector v(indexesResult.size()); ComplexVector v(indexesResult.size());
outCsv.write( (ComplexVector) phaseSpeed(startPoint.omega, startPoint.formatedEigenvalues) ); outCsv.write( (ComplexVector) phaseSpeed(startPoint.omega, startPoint.formatedEigenvalues) );
......
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