/external/apache-commons-math/src/main/java/org/apache/commons/math/distribution/ |
H A D | HasDensity.java | 23 * <p>Interface that signals that a distribution can compute the probability density function 25 * @param <P> the type of the point at which density is to be computed, this 29 * interface will be extended to include a <code>density(double)<code> method.</p> 38 * Compute the probability density function. 39 * @param x point for which the probability density is requested 40 * @return probability density at point x 41 * @throws MathException if probability density cannot be computed at specifed point 43 double density(P x) throws MathException; method in interface:HasDensity
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H A D | BetaDistribution.java | 22 * Computes the cumulative, inverse cumulative and density functions for the beta distribuiton. 58 * Return the probability density for a particular point. 59 * @param x The point at which the density should be computed. 61 * @exception MathException if probability density cannot be computed 63 double density(Double x) throws MathException; method in interface:BetaDistribution
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H A D | ChiSquaredDistribution.java | 48 * Return the probability density for a particular point. 49 * @param x The point at which the density should be computed. 52 double density(Double x); method in interface:ChiSquaredDistribution
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H A D | ExponentialDistribution.java | 48 * Return the probability density for a particular point. 49 * @param x The point at which the density should be computed. 52 double density(Double x); method in interface:ExponentialDistribution
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H A D | GammaDistribution.java | 62 * Return the probability density for a particular point. 63 * @param x The point at which the density should be computed. 66 double density(Double x); method in interface:GammaDistribution
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H A D | NormalDistribution.java | 60 * Return the probability density for a particular point. 61 * @param x The point at which the density should be computed. 64 double density(Double x); method in interface:NormalDistribution
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H A D | AbstractContinuousDistribution.java | 66 * Return the probability density for a particular point. 67 * @param x The point at which the density should be computed. 72 public double density(double x) throws MathRuntimeException { method in class:AbstractContinuousDistribution 125 * case if density has bounded support and p is 0 or 1).
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H A D | TDistributionImpl.java | 108 * Returns the probability density for a particular point. 110 * @param x The point at which the density should be computed. 115 public double density(double x) { method in class:TDistributionImpl
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H A D | BetaDistributionImpl.java | 56 /** Normalizing factor used in density computations. 126 * Return the probability density for a particular point. 128 * @param x The point at which the density should be computed. 133 public double density(Double x) { method in class:BetaDistributionImpl 134 return density(x.doubleValue()); 138 * Return the probability density for a particular point. 140 * @param x The point at which the density should be computed. 145 public double density(double x) { method in class:BetaDistributionImpl
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/external/eigen/bench/ |
H A D | sparse_transpose.cpp | 40 float density = DENSITY; local 45 for (float density = DENSITY; density>=MINDENSITY; density*=0.5) 47 fillMatrix(density, rows, cols, sm1);
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H A D | sparse_dense_product.cpp | 56 float density = DENSITY; local 63 for (float density = DENSITY; density>=MINDENSITY; density*=0.5) 65 //fillMatrix(density, rows, cols, sm1); 71 std::cout << "Eigen Dense\t" << density*100 << "%\n"; 118 std::cout << "GMM++ sparse\t" << density*100 << "%\n"; 137 std::cout << "ublas sparse\t" << density*100 << "%\n"; 160 std::cout << "MTL4\t" << density*100 << "%\n";
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H A D | sparse_lu.cpp | 76 float density = DENSITY; local 84 //for (float density = DENSITY; density>=MINDENSITY; density*=0.5) 85 // float density = 0.5; 88 fillMatrix(density, rows, cols, sm1); 95 std::cout << "Eigen Dense\t" << density*100 << "%\n";
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H A D | sparse_product.cpp | 102 float density = DENSITY; local
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H A D | sparse_randomsetter.cpp | 69 float density = DENSITY; local 74 nentries = rows*cols*density;
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H A D | sparse_trisolver.cpp | 40 void fillMatrix(float density, int rows, int cols, EigenSparseTriMatrix& dst) argument 42 dst.startFill(rows*cols*density); 47 Scalar v = (internal::random<float>(0,1) < density) ? internal::random<Scalar>() : 0; 60 float density = DENSITY; local 70 for (float density = DENSITY; density>=MINDENSITY; density*=0.5) 73 fillMatrix(density, rows, cols, sm1); 80 std::cout << "Eigen Dense\t" << density*100 << "%\n"; 98 std::cout << "Eigen sparse\t" << density*10 [all...] |
/external/eigen/test/eigen2/ |
H A D | sparse.h | 38 * and a ratio of \a density non zero entries. 45 initSparse(double density, argument 52 sparseMat.startFill(int(refMat.rows()*refMat.cols()*density)); 57 Scalar v = (ei_random<double>(0,1) < density) ? ei_random<Scalar>() : Scalar(0); 88 initSparse(double density, argument 95 sparseMat.startFill(int(refMat.rows()*refMat.cols()*density)); 100 Scalar v = (ei_random<double>(0,1) < density) ? ei_random<Scalar>() : Scalar(0); 131 initSparse(double density, argument 137 sparseVec.reserve(int(refVec.size()*density)); 141 Scalar v = (ei_random<double>(0,1) < density) [all...] |
H A D | eigen2_sparse_solvers.cpp | 13 initSPD(double density, argument 18 initSparse(density,refMat,sparseMat); 22 initSparse(density,aux,sparseMat,ForceNonZeroDiag); 35 double density = std::max(8./(rows*cols), 0.01); local 52 initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular, &zeroCoords, &nonzeroCoords); 57 initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular, &zeroCoords, &nonzeroCoords); 62 initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeUpperTriangular, &zeroCoords, &nonzeroCoords); 67 initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeUpperTriangular, &zeroCoords, &nonzeroCoords); 81 initSPD(density, refMat2, m2); 122 //initSPD(density, refMat [all...] |
H A D | eigen2_sparse_product.cpp | 19 double density = std::max(8./(rows*cols), 0.01); local 32 initSparse<Scalar>(density, refMat2, m2); 33 initSparse<Scalar>(density, refMat3, m3); 34 initSparse<Scalar>(density, refMat4, m4); 63 initSparse<Scalar>(density, refM2, m2); 64 initSparse<Scalar>(density, refM3, m3); 83 initSparse<Scalar>(density, refUp, mUp, ForceRealDiag|/*ForceNonZeroDiag|*/MakeUpperTriangular);
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/external/eigen/test/ |
H A D | sparse.h | 50 * and a ratio of \a density non zero entries. 57 initSparse(double density, argument 66 //sparseMat.reserve(int(refMat.rows()*refMat.cols()*density)); 67 sparseMat.reserve(VectorXi::Constant(IsRowMajor ? refMat.rows() : refMat.cols(), int((1.5*density)*(IsRowMajor?refMat.cols():refMat.rows())))); 77 Scalar v = (internal::random<double>(0,1) < density) ? internal::random<Scalar>() : Scalar(0); 109 initSparse(double density, argument 118 sparseMat.reserve(int(refMat.rows()*refMat.cols()*density)); 127 Scalar v = (internal::random<double>(0,1) < density) ? internal::random<Scalar>() : Scalar(0); 158 initSparse(double density, argument 164 sparseVec.reserve(int(refVec.size()*density)); 182 initSparse(double density, Matrix<Scalar,1,Dynamic>& refVec, SparseVector<Scalar,Options,Index>& sparseVec, std::vector<int>* zeroCoords = 0, std::vector<int>* nonzeroCoords = 0) argument [all...] |
H A D | sparse_solvers.cpp | 13 initSPD(double density, argument 18 initSparse(density,refMat,sparseMat); 22 initSparse(density,aux,sparseMat,ForceNonZeroDiag); 35 double density = (std::max)(8./(rows*cols), 0.01); local 52 initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular, &zeroCoords, &nonzeroCoords); 57 initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeUpperTriangular, &zeroCoords, &nonzeroCoords); 71 initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular, &zeroCoords, &nonzeroCoords); 76 initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeUpperTriangular, &zeroCoords, &nonzeroCoords); 84 initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular); 85 initSparse<Scalar>(density, refMat [all...] |
H A D | spqr_support.cpp | 19 double density = (std::max)(8./(rows*cols), 0.01); local 23 initSparse<Scalar>(density, dA, A,ForceNonZeroDiag);
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H A D | sparse_permutations.cpp | 24 double density = (std::max)(8./(rows*cols), 0.01); local 30 initSparse<Scalar>(density, mat_d, mat, 0);
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H A D | sparseqr.cpp | 18 double density = (std::max)(8./(rows*cols), 0.01); local 22 initSparse<Scalar>(density, dA, A,ForceNonZeroDiag);
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/external/mesa3d/src/mesa/swrast/ |
H A D | s_fog.c | 69 #define EXP_FOG(f, coord) f = EXPF(density * coord) 185 const GLfloat density = -ctx->Fog.Density; local
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/external/eigen/unsupported/test/ |
H A D | sparse_extra.cpp | 58 double density = (std::max)(8./(rows*cols), 0.01); local 69 initSparse<Scalar>(density, refMat, m, 0, &zeroCoords, &nonzeroCoords); 120 initSparse<Scalar>(density, refM1, m1);
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