Searched defs:covariance (Results 1 - 7 of 7) sorted by relevance
/external/apache-commons-math/src/main/java/org/apache/commons/math/random/ |
H A D | CorrelatedRandomVectorGenerator.java | 32 * definite covariance matrix.</p> 43 * <p>Sometimes, the covariance matrix for a given simulation is not 47 * of the covariance matrix should not be negative either, they 50 * where <code>C</code> is the covariance matrix and <code>U</code> 54 * the rank of the covariance matrix, and it is the dimension of the 75 /** Permutated Cholesky root of the covariance matrix. */ 78 /** Rank of the covariance matrix. */ 83 * vector and covariance matrix.</p> 85 * @param covariance covariance matri 97 CorrelatedRandomVectorGenerator(double[] mean, RealMatrix covariance, double small, NormalizedRandomGenerator generator) argument 126 CorrelatedRandomVectorGenerator(RealMatrix covariance, double small, NormalizedRandomGenerator generator) argument 188 decompose(RealMatrix covariance, double small) argument [all...] |
/external/apache-commons-math/src/main/java/org/apache/commons/math/stat/correlation/ |
H A D | Covariance.java | 30 * <code>double[][]</code> arguments generate covariance matrices. The 48 /** covariance matrix */ 52 * Create an empty covariance matrix. 71 * covariance estimates are bias-corrected.</p> 101 * Create a covariance matrix from a matrix whose columns 105 * covariance estimates are bias-corrected.</p> 121 * Create a covariance matrix from a matrix whose columns 135 * Returns the covariance matrix 137 * @return covariance matrix 154 * Compute a covariance matri 220 public double covariance(final double[] xArray, final double[] yArray, boolean biasCorrected) method in class:Covariance 255 public double covariance(final double[] xArray, final double[] yArray) method in class:Covariance [all...] |
H A D | PearsonsCorrelation.java | 89 * matrix is computed by scaling the Covariance's covariance matrix. 93 * @param covariance Covariance instance 95 public PearsonsCorrelation(Covariance covariance) { argument 96 RealMatrix covarianceMatrix = covariance.getCovarianceMatrix(); 100 nObs = covariance.getN(); 105 * Create a PearsonsCorrelation from a covariance matrix. The correlation 106 * matrix is computed by scaling the covariance matrix. 108 * @param covarianceMatrix covariance matrix 110 * the covariance matrix 244 * Derives a correlation matrix from a covariance matri [all...] |
/external/apache-commons-math/src/main/java/org/apache/commons/math/stat/regression/ |
H A D | GLSMultipleLinearRegression.java | 27 * GLS assumes a general covariance matrix Omega of the error 48 /** Inverse of covariance matrix. */ 54 * @param covariance array representing the covariance matrix 56 public void newSampleData(double[] y, double[][] x, double[][] covariance) { argument 60 validateCovarianceData(x, covariance); 61 newCovarianceData(covariance); 65 * Add the covariance data. 67 * @param omega the [n,n] array representing the covariance 75 * Get the inverse of the covariance [all...] |
H A D | AbstractMultipleLinearRegression.java | 223 * Validates that the x data and covariance matrix have the same 224 * number of rows and that the covariance matrix is square. 227 * @param covariance the [n,n] array representing the covariance matrix 229 * to the number of rows in covariance or covariance is not square. 231 protected void validateCovarianceData(double[][] x, double[][] covariance) { argument 232 if (x.length != covariance.length) { 234 LocalizedFormats.DIMENSIONS_MISMATCH_SIMPLE, x.length, covariance.length); 236 if (covariance [all...] |
/external/ceres-solver/internal/ceres/ |
H A D | covariance_test.cc | 31 #include "ceres/covariance.h" 288 // covariance computation is correct. 315 Covariance covariance(options); 316 EXPECT_TRUE(covariance.Compute(covariance_blocks, &problem_)); 322 GetCovarianceBlockAndCompare(block1, block2, covariance, expected_covariance); 324 GetCovarianceBlockAndCompare(block2, block1, covariance, expected_covariance); 331 const Covariance& covariance, 339 EXPECT_TRUE(covariance.GetCovarianceBlock(block1, 743 Covariance covariance(options); 744 EXPECT_TRUE(covariance 329 GetCovarianceBlockAndCompare(const double* block1, const double* block2, const Covariance& covariance, const double* expected_covariance) argument [all...] |
/external/ImageMagick/coders/ |
H A D | dds.c | 1370 static void ComputePrincipleComponent(const float *covariance, 1382 row0.x = covariance[0]; 1383 row0.y = covariance[1]; 1384 row0.z = covariance[2]; 1387 row1.x = covariance[1]; 1388 row1.y = covariance[3]; 1389 row1.z = covariance[4]; 1392 row2.x = covariance[2]; 1393 row2.y = covariance[4]; 1394 row2.z = covariance[ 1368 ComputePrincipleComponent(const float *covariance, DDSVector3 *principle) argument 1431 ComputeWeightedCovariance(const size_t count, const DDSVector4 *points, float *covariance) argument 2525 covariance[16]; local [all...] |
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