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    Searched defs:diagSize (Results 1 - 9 of 9) sorted by null

  /external/eigen/test/
jacobisvd.cpp 51 Index diagSize = (std::min)(rows, cols);
59 VERIFY_IS_APPROX(svd.matrixU(), referenceSvd.matrixU().leftCols(diagSize));
63 VERIFY_IS_APPROX(svd.matrixV(), referenceSvd.matrixV().leftCols(diagSize));
204 Index diagSize = (std::min)(m.rows(), m.cols());
206 VERIFY_IS_APPROX(m, svd.matrixU().leftCols(diagSize) * svd.singularValues().asDiagonal() * svd.matrixV().leftCols(diagSize).adjoint());
219 Index diagSize = (std::min)(a.rows(), a.cols());
222 Matrix<RealScalar,Dynamic,1> d = Matrix<RealScalar,Dynamic,1>::Random(diagSize);
223 for(Index k=0; k<diagSize; ++k)
225 m = Matrix<Scalar,Dynamic,Dynamic>::Random(a.rows(),diagSize) * d.asDiagonal() * Matrix<Scalar,Dynamic,Dynamic>::Random(diagSize,a.cols())
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  /external/eigen/Eigen/src/SparseCore/
SparseColEtree.h 66 Index diagSize = (std::min)(nc,m);
76 firstRowElt.segment(0, diagSize).setLinSpaced(diagSize, 0, diagSize-1);
  /external/eigen/unsupported/test/
svd_common.h 62 Index diagSize = (std::min)(rows, cols);
70 VERIFY_IS_APPROX(svd.matrixU(), referenceSvd.matrixU().leftCols(diagSize));
74 VERIFY_IS_APPROX(svd.matrixV(), referenceSvd.matrixV().leftCols(diagSize));
133 Index diagSize = (std::min)(m.rows(), m.cols());
135 VERIFY_IS_APPROX(m, svd.matrixU().leftCols(diagSize) * svd.singularValues().asDiagonal() * svd.matrixV().leftCols(diagSize).adjoint());
  /external/eigen/Eigen/src/Core/products/
TriangularMatrixMatrix.h 115 Index diagSize = (std::min)(_rows,_depth);
116 Index rows = IsLower ? _rows : diagSize;
117 Index depth = IsLower ? diagSize : _depth;
256 Index diagSize = (std::min)(_cols,_depth);
258 Index depth = IsLower ? _depth : diagSize;
259 Index cols = IsLower ? diagSize : _cols;
TriangularMatrixVector.h 107 Index diagSize = (std::min)(_rows,_cols);
108 Index rows = IsLower ? _rows : diagSize;
109 Index cols = IsLower ? diagSize : _cols;
122 for (Index pi=0; pi<diagSize; pi+=PanelWidth)
124 Index actualPanelWidth = (std::min)(PanelWidth, diagSize-pi);
146 if(IsLower && rows>diagSize)
149 rows-diagSize, cols,
150 &lhs.coeffRef(diagSize,0), lhsStride,
152 &res.coeffRef(diagSize), resIncr, alpha);
  /external/eigen/unsupported/Eigen/src/Skyline/
SkylineStorage.h 57 resize(other.diagSize(), other.m_upperProfileSize, other.m_lowerProfileSize, other.upperSize(), other.lowerSize());
98 void resize(Index diagSize, Index upperProfileSize, Index lowerProfileSize, Index upperSize, Index lowerSize, float reserveSizeFactor = 0) {
99 if (m_allocatedSize < diagSize + upperSize + lowerSize)
100 reallocate(diagSize, upperProfileSize, lowerProfileSize, upperSize + Index(reserveSizeFactor * upperSize), lowerSize + Index(reserveSizeFactor * lowerSize));
101 m_diagSize = diagSize;
108 inline Index diagSize() const {
203 inline void reallocate(Index diagSize, Index upperProfileSize, Index lowerProfileSize, Index upperSize, Index lowerSize) {
205 Scalar* diag = new Scalar[diagSize];
211 Index copyDiagSize = (std::min)(diagSize, m_diagSize);
237 m_allocatedSize = diagSize + upperSize + lowerSize
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  /external/eigen/unsupported/Eigen/src/SVD/
BDCSVD.h 714 Index diagSize = (std::min)(dec().rows(), dec().cols());
715 typename BDCSVDType::SingularValuesType invertedSingVals(diagSize);
718 invertedSingVals.tail(diagSize - nonzeroSingVals).setZero();
720 dst = dec().matrixV().leftCols(diagSize)
722 * dec().matrixU().leftCols(diagSize).adjoint()
JacobiSVD.h 751 Index diagSize = (std::min)(dec().rows(), dec().cols());
752 typename JacobiSVDType::SingularValuesType invertedSingVals(diagSize);
756 invertedSingVals.tail(diagSize - nonzeroSingVals).setZero();
758 dst = dec().matrixV().leftCols(diagSize)
760 * dec().matrixU().leftCols(diagSize).adjoint()
  /external/eigen/Eigen/src/SparseQR/
SparseQR.h 292 Index diagSize = (std::min)(m,n);
306 m_Q.resize(m, diagSize);
311 m_hcoeffs.resize(diagSize);
331 Index diagSize = (std::min)(m,n);
482 if(nonzeroCol < diagSize)
521 if(nonzeroCol < diagSize && abs(beta) >= pivotThreshold)
534 if(nonzeroCol<diagSize)
549 m_hcoeffs.tail(diagSize-nonzeroCol).setZero();
621 Index diagSize = (std::min)(m,n);
628 for (Index k = 0; k < diagSize; k++
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