Home
last modified time | relevance | path

Searched refs:Matrices (Results 1 – 25 of 2025) sorted by relevance

12345678910>>...81

/dports/devel/spark/spark-2.1.1/mllib-local/src/test/scala/org/apache/spark/ml/util/
H A DTestingUtilsSuite.scala23 import org.apache.spark.ml.linalg.{Matrices, Vectors}
267 assert(Matrices.dense(2, 1, Array(3.1, 3.5)) !~=
270 assert(Matrices.dense(0, 0, Array()) !~=
273 assert(Matrices.dense(0, 0, Array()) !~==
346 Matrices.dense(0, 0, Array()) absTol 1E-6)
349 Matrices.dense(0, 0, Array()) absTol 1E-6)
376 assert(Matrices.dense(2, 1, Array(3.1, 3.5)) !~=
379 assert(Matrices.dense(0, 0, Array()) !~=
382 assert(Matrices.dense(0, 0, Array()) !~==
455 Matrices.dense(0, 0, Array()) relTol 0.01)
[all …]
/dports/devel/spark/spark-2.1.1/mllib/src/test/scala/org/apache/spark/mllib/util/
H A DTestingUtilsSuite.scala23 import org.apache.spark.mllib.linalg.{Matrices, Vectors}
267 assert(Matrices.dense(2, 1, Array(3.1, 3.5)) !~=
270 assert(Matrices.dense(0, 0, Array()) !~=
273 assert(Matrices.dense(0, 0, Array()) !~==
346 Matrices.dense(0, 0, Array()) absTol 1E-6)
349 Matrices.dense(0, 0, Array()) absTol 1E-6)
376 assert(Matrices.dense(2, 1, Array(3.1, 3.5)) !~=
379 assert(Matrices.dense(0, 0, Array()) !~=
382 assert(Matrices.dense(0, 0, Array()) !~==
455 Matrices.dense(0, 0, Array()) relTol 0.01)
[all …]
/dports/biology/p5-Bio-Phylo/Bio-Phylo-v2.0.1/t/
H A D31-phylip.t18 isa_ok( $matrix, 'Bio::Phylo::Matrices::Matrix' );
22 isa_ok( $matrix->get_by_name('Species_1'), 'Bio::Phylo::Matrices::Datum' );
23 isa_ok( $matrix->get_by_name('Species_2'), 'Bio::Phylo::Matrices::Datum' );
24 isa_ok( $matrix->get_by_name('Species_3'), 'Bio::Phylo::Matrices::Datum' );
25 isa_ok( $matrix->get_by_name('Species_4'), 'Bio::Phylo::Matrices::Datum' );
34 isa_ok( $matrix, 'Bio::Phylo::Matrices::Matrix' );
37 isa_ok( $matrix->get_by_name('Species_1'), 'Bio::Phylo::Matrices::Datum' );
38 isa_ok( $matrix->get_by_name('Species_2'), 'Bio::Phylo::Matrices::Datum' );
39 isa_ok( $matrix->get_by_name('Species_3'), 'Bio::Phylo::Matrices::Datum' );
46 isa_ok( $matrix, 'Bio::Phylo::Matrices::Matrix' );
[all …]
H A D24-bioperl-alignio.t2 use Bio::Phylo::Matrices::Matrix;
44 $aln = Bio::Phylo::Matrices::Matrix->new_from_bioperl( $str->next_aln() );
57 $aln = Bio::Phylo::Matrices::Matrix->new_from_bioperl( $str->next_aln() );
75 $aln = Bio::Phylo::Matrices::Matrix->new_from_bioperl( $str->next_aln() );
84 $aln = Bio::Phylo::Matrices::Matrix->new_from_bioperl( $str->next_aln() );
93 $aln = Bio::Phylo::Matrices::Matrix->new_from_bioperl( $str->next_aln() );
116 $aln = Bio::Phylo::Matrices::Matrix->new_from_bioperl( $str->next_aln() );
144 $aln = Bio::Phylo::Matrices::Matrix->new_from_bioperl( $str->next_aln() );
349 $aln = Bio::Phylo::Matrices::Matrix->new_from_bioperl($aln);
468 $aln = Bio::Phylo::Matrices::Matrix->new_from_bioperl( $io->next_aln );
[all …]
H A D10-matrices.t6 use Bio::Phylo::Matrices;
7 use Bio::Phylo::Matrices::Matrix;
8 use Bio::Phylo::Matrices::Datum;
11 ok( my $matrices = new Bio::Phylo::Matrices, '1 initialize obj' );
19 ok( $matrices->insert( new Bio::Phylo::Matrices::Matrix ), '4 insert good' );
27 my $datum1 = Bio::Phylo::Matrices::Datum->new( '-taxon' => $taxon1 );
28 my $datum3 = Bio::Phylo::Matrices::Datum->new( '-taxon' => $taxon2 );
31 my $matrix = Bio::Phylo::Matrices::Matrix->new( '-type' => 'DNA' );
/dports/devel/spark/spark-2.1.1/mllib-local/src/test/scala/org/apache/spark/ml/linalg/
H A DMatricesSuite.scala43 Matrices.dense(3, 2, Array(0.0, 1.0, 2.0))
281 val deMat2 = Matrices.eye(3)
282 val spMat2 = Matrices.speye(3)
283 val deMat3 = Matrices.eye(2)
284 val spMat3 = Matrices.speye(2)
333 Matrices.horzcat(Array(spMat1, spMat3))
337 Matrices.horzcat(Array(deMat1, spMat3))
383 Matrices.vertcat(Array(spMat1, spMat2))
387 Matrices.vertcat(Array(deMat1, spMat2))
463 val empty = Matrices.ones(0, 0)
[all …]
H A DBreezeMatrixConversionSuite.scala26 val mat = Matrices.dense(3, 2, Array(0.0, 1.0, 2.0, 3.0, 4.0, 5.0))
35 val mat = Matrices.fromBreeze(breeze).asInstanceOf[DenseMatrix]
40 val matTransposed = Matrices.fromBreeze(breeze.t).asInstanceOf[DenseMatrix]
50 val mat = Matrices.sparse(3, 2, colPtrs, rowIndices, values)
62 val mat = Matrices.fromBreeze(breeze).asInstanceOf[SparseMatrix]
66 val matTransposed = Matrices.fromBreeze(breeze.t).asInstanceOf[SparseMatrix]
/dports/devel/spark/spark-2.1.1/mllib/src/test/java/org/apache/spark/mllib/linalg/
H A DJavaMatricesSuite.java32 Matrix r = Matrices.rand(3, 4, rng); in randMatrixConstruction()
38 Matrix rn = Matrices.randn(3, 4, rng); in randMatrixConstruction()
58 Matrix r = Matrices.eye(2); in identityMatrixConstruction()
71 Matrix m = Matrices.diag(v); in diagonalMatrixConstruction()
72 Matrix sm = Matrices.diag(sv); in diagonalMatrixConstruction()
92 Matrix z = Matrices.zeros(2, 2); in zerosMatrixConstruction()
93 Matrix one = Matrices.ones(2, 2); in zerosMatrixConstruction()
131 Matrix deMat2 = Matrices.eye(3); in concatenateMatrices()
132 Matrix spMat2 = Matrices.speye(3); in concatenateMatrices()
133 Matrix deMat3 = Matrices.eye(2); in concatenateMatrices()
[all …]
/dports/devel/spark/spark-2.1.1/mllib/src/test/scala/org/apache/spark/mllib/linalg/
H A DMatricesSuite.scala45 Matrices.dense(3, 2, Array(0.0, 1.0, 2.0))
283 val deMat2 = Matrices.eye(3)
284 val spMat2 = Matrices.speye(3)
285 val deMat3 = Matrices.eye(2)
286 val spMat3 = Matrices.speye(2)
335 Matrices.horzcat(Array(spMat1, spMat3))
339 Matrices.horzcat(Array(deMat1, spMat3))
385 Matrices.vertcat(Array(spMat1, spMat2))
389 Matrices.vertcat(Array(deMat1, spMat2))
480 val empty = Matrices.ones(0, 0)
[all …]
H A DBreezeMatrixConversionSuite.scala26 val mat = Matrices.dense(3, 2, Array(0.0, 1.0, 2.0, 3.0, 4.0, 5.0))
35 val mat = Matrices.fromBreeze(breeze).asInstanceOf[DenseMatrix]
40 val matTransposed = Matrices.fromBreeze(breeze.t).asInstanceOf[DenseMatrix]
50 val mat = Matrices.sparse(3, 2, colPtrs, rowIndices, values)
62 val mat = Matrices.fromBreeze(breeze).asInstanceOf[SparseMatrix]
66 val matTransposed = Matrices.fromBreeze(breeze.t).asInstanceOf[SparseMatrix]
/dports/cad/leocad/leocad-21.06/common/
H A Dminifig.cpp294 lcMatrix44* Matrices = mMinifig.Matrices; in Calculate() local
316 Matrices[LC_MFW_HEAD] = lcMul(Mat, Root); in Calculate()
323 Matrices[LC_MFW_HATS] = lcMul(Mat, Matrices[LC_MFW_HEAD]); in Calculate()
330 Matrices[LC_MFW_HATS2] = lcMul(Mat, Matrices[LC_MFW_HATS]); in Calculate()
345 Matrices[LC_MFW_RARM] = lcMul(Mat, Root); in Calculate()
355 Matrices[LC_MFW_RHAND] = lcMul(Mat, Matrices[LC_MFW_RARM]); in Calculate()
364 Matrices[LC_MFW_RHANDA] = lcMul(Mat, Matrices[LC_MFW_RHAND]); in Calculate()
389 Matrices[LC_MFW_LHAND] = lcMul(Mat, Matrices[LC_MFW_LARM]); in Calculate()
398 Matrices[LC_MFW_LHANDA] = lcMul(Mat, Matrices[LC_MFW_LHAND]); in Calculate()
433 Matrices[LC_MFW_RLEGA] = lcMul(Mat, Matrices[LC_MFW_RLEG]); in Calculate()
[all …]
/dports/graphics/dataplot/dataplot-2c1b27601a3b7523449de612613eadeead9a8f70/lib/frmenus/help/
H A Dmatrices.top1 ----- <~help\matrices.top> Matrices
3 Matrices
5 Matrices
7 Matrices Useful For Linear Algebra And Multivariate Analysis -
9 Matrices and matrix manipulation commands are useful
21 Matrices cannot be used in Dataplot except for these
26 Commands To Create Matrices
28 Matrices are created with the
49 element in column 3 and row 5). Matrices cannot be used
/dports/devel/spark/spark-2.1.1/mllib-local/src/test/scala/org/apache/spark/ml/stat/distribution/
H A DMultivariateGaussianSuite.scala21 import org.apache.spark.ml.linalg.{Matrices, Vectors}
32 val sigma1 = Matrices.dense(1, 1, Array(1.0))
37 val sigma2 = Matrices.dense(1, 1, Array(4.0))
48 val sigma1 = Matrices.dense(2, 2, Array(1.0, 0.0, 0.0, 1.0))
53 val sigma2 = Matrices.dense(2, 2, Array(4.0, -1.0, -1.0, 2.0))
64 val sigma = Matrices.dense(2, 2, Array(1.0, 1.0, 1.0, 1.0))
74 val sigma = Matrices.dense(4, 4, Array(
/dports/devel/spark/spark-2.1.1/mllib/src/test/scala/org/apache/spark/mllib/stat/distribution/
H A DMultivariateGaussianSuite.scala21 import org.apache.spark.mllib.linalg.{Matrices, Vectors}
31 val sigma1 = Matrices.dense(1, 1, Array(1.0))
36 val sigma2 = Matrices.dense(1, 1, Array(4.0))
47 val sigma1 = Matrices.dense(2, 2, Array(1.0, 0.0, 0.0, 1.0))
52 val sigma2 = Matrices.dense(2, 2, Array(4.0, -1.0, -1.0, 2.0))
63 val sigma = Matrices.dense(2, 2, Array(1.0, 1.0, 1.0, 1.0))
73 val sigma = Matrices.dense(4, 4, Array(
/dports/biology/p5-Bio-Phylo/Bio-Phylo-v2.0.1/
H A DMANIFEST18 lib/Bio/Phylo/Matrices.pm
19 lib/Bio/Phylo/Matrices/Character.pm
20 lib/Bio/Phylo/Matrices/Characters.pm
21 lib/Bio/Phylo/Matrices/Datatype.pm
24 lib/Bio/Phylo/Matrices/Datatype/Dna.pm
29 lib/Bio/Phylo/Matrices/Datatype/Rna.pm
33 lib/Bio/Phylo/Matrices/Datum.pm
34 lib/Bio/Phylo/Matrices/DatumRole.pm
35 lib/Bio/Phylo/Matrices/Matrix.pm
36 lib/Bio/Phylo/Matrices/MatrixRole.pm
[all …]
/dports/devel/spark/spark-2.1.1/mllib/src/test/scala/org/apache/spark/mllib/clustering/
H A DGaussianMixtureSuite.scala21 import org.apache.spark.mllib.linalg.{Matrices, Vector, Vectors}
38 val Esigma = Matrices.dense(2, 2, Array(2.0 / 3.0, -2.0 / 3.0, -2.0 / 3.0, 2.0 / 3.0))
57 new MultivariateGaussian(Vectors.dense(-1.0), Matrices.dense(1, 1, Array(1.0))),
58 new MultivariateGaussian(Vectors.dense(1.0), Matrices.dense(1, 1, Array(1.0)))
64 val Esigma = Array(Matrices.dense(1, 1, Array(1.1098)), Matrices.dense(1, 1, Array(0.86644)))
102 val Esigma = Matrices.dense(3, 3,
122 new MultivariateGaussian(Vectors.dense(-1.0), Matrices.dense(1, 1, Array(1.0))),
123 new MultivariateGaussian(Vectors.dense(1.0), Matrices.dense(1, 1, Array(1.0)))
128 val Esigma = Array(Matrices.dense(1, 1, Array(1.1098)), Matrices.dense(1, 1, Array(0.86644)))
/dports/math/R-cran-SparseM/SparseM/demo/
H A D00Index1 Binding Binding and Indexing for Sparse Matrices
2 Coercion Coercion of Matrices into Various New Classes
4 LinearAlgebra Basic Linear Algebra for Sparse Matrices
6 Visualization Visualization Tools for Sparse Matrices
/dports/math/fricas/fricas-1.3.7/pre-generated/target/share/hypertex/pages/
H A DMATRIX.ht25 \menudownlink{{9.56.1. Creating Matrices}}{ugxMatrixCreatePage}
26 \menudownlink{{9.56.2. Operations on Matrices}}{ugxMatrixOpsPage}
33 \newcommand{\ugxMatrixCreateTitle}{Creating Matrices}
37 \begin{page}{ugxMatrixCreatePage}{9.56.1. Creating Matrices}
78 %-% \HDindex{matrix!diagonal}{ugxMatrixCreatePage}{9.56.1.}{Creating Matrices}
97 %-% \HDindex{matrix!copying}{ugxMatrixCreatePage}{9.56.1.}{Creating Matrices}
115 %-% \HDindex{matrix!submatrix of}{ugxMatrixCreatePage}{9.56.1.}{Creating Matrices}
151 Matrices can be joined either horizontally or vertically to make
189 \newcommand{\ugxMatrixOpsTitle}{Operations on Matrices}
193 \begin{page}{ugxMatrixOpsPage}{9.56.2. Operations on Matrices}
[all …]
/dports/biology/viennarna/ViennaRNA-2.4.18/doc/latex/
H A Dgroup__dp__matrices.tex1 \hypertarget{group__dp__matrices}{}\doxysection{The Dynamic Programming Matrices}
2 …bel{group__dp__matrices}\index{The Dynamic Programming Matrices@{The Dynamic Programming Matrices}}
13 Collaboration diagram for The Dynamic Programming Matrices\+:
155 \index{The Dynamic Programming Matrices@{The Dynamic Programming Matrices}!vrna\_mx\_type\_e@{vrna\…
156 …x\_type\_e@{vrna\_mx\_type\_e}!The Dynamic Programming Matrices@{The Dynamic Programming Matrices}}
195 \index{The Dynamic Programming Matrices@{The Dynamic Programming Matrices}!vrna\_mx\_add@{vrna\_mx\…
196 …{vrna\_mx\_add@{vrna\_mx\_add}!The Dynamic Programming Matrices@{The Dynamic Programming Matrices}}
229 \index{The Dynamic Programming Matrices@{The Dynamic Programming Matrices}!vrna\_mx\_mfe\_free@{vrn…
230 …fe\_free@{vrna\_mx\_mfe\_free}!The Dynamic Programming Matrices@{The Dynamic Programming Matrices}}
251 \index{The Dynamic Programming Matrices@{The Dynamic Programming Matrices}!vrna\_mx\_pf\_free@{vrna…
[all …]
/dports/cad/opencascade/opencascade-7.6.0/src/IGESSolid/
H A DIGESSolid_SolidAssembly.cxx33 const Handle(IGESGeom_HArray1OfTransformationMatrix)& Matrices) in Init() argument
35 if (Items->Lower() != 1 || Matrices->Lower() != 1 || in Init()
36 Items->Length() != Matrices->Length()) in Init()
40 theMatrices = Matrices; in Init()
/dports/math/giacxcas/CoCoALib-0.99700/src/CoCoA-5/packages/
H A DCoLA.cpkg5116 If len(ARGV) = 1 then Matrices := ARGV[1]; EndIf;
119 K := RingOf(Matrices[1]);
120 S := NumRows(Matrices[1]);
121 N := len(Matrices);
122 Foreach M in Matrices Do
128 //If IsEmpty(Matrices) Then Return ideal(1); EndIf;
131 Mi := Matrices[i];
133 Mj := Matrices[j];
139 if K<>CoeffRing(P) or NumIndets(P)<len(Matrices) then
140 error("K<>CoeffRing(P) or NumIndets(P)<len(Matrices)");
[all …]
/dports/math/cocoalib/CoCoALib-0.99712/src/CoCoA-5/packages/
H A DCoLA.cpkg5116 If len(ARGV) = 1 then Matrices := ARGV[1]; EndIf;
119 K := RingOf(Matrices[1]);
120 S := NumRows(Matrices[1]);
121 N := len(Matrices);
122 Foreach M in Matrices Do
128 //If IsEmpty(Matrices) Then Return ideal(1); EndIf;
131 Mi := Matrices[i];
133 Mj := Matrices[j];
139 if K<>CoeffRing(P) or NumIndets(P)<len(Matrices) then
140 error("K<>CoeffRing(P) or NumIndets(P)<len(Matrices)");
[all …]
/dports/textproc/fox-xml/fox-4.1.2-91-g9c6716e/common/test/
H A Drun_tests.sh31 echo Matrices:
55 echo Matrices:
70 echo Matrices:
180 echo Matrices
293 echo Matrices
/dports/emulators/mednafen/mednafen/src/psx/
H A Dgte.cpp100 static Matrices_t Matrices; variable
194 memset(Matrices.All, 0, sizeof(Matrices.All)); in GTE_Power()
231 SFVARN(Matrices.Raw16, "&Matrices.Raw16[0][0]"), in GTE_StateAction()
314 Matrices.Raw[we][which] = (value << 16) | (value >> 16); in GTE_WriteCR()
316 Matrices.Raw[we][which] = value; in GTE_WriteCR()
895 if(matrix == &Matrices.AbbyNormal) in MultiplyMatrixByVector()
1007 MultiplyMatrixByVector(&Matrices.All[mx], v, cv, sf, lm); in MVMVA()
1105 MultiplyMatrixByVector(&Matrices.Color, tmp_vector, CRVectors.B, sf, lm); in NormColor()
1369 MAC[1] = ((Matrices.Rot.MX[1][1] * IR3) - (Matrices.Rot.MX[2][2] * IR2)) >> sf; in OP()
1370 MAC[2] = ((Matrices.Rot.MX[2][2] * IR1) - (Matrices.Rot.MX[0][0] * IR3)) >> sf; in OP()
[all …]
/dports/math/octave/octave-6.4.0/doc/interpreter/
H A Doctave.texi179 * Sparse Matrices::
289 * Matrices::
298 Matrices
300 * Empty Matrices::
630 * Rearranging Matrices::
631 * Special Utility Matrices::
632 * Famous Matrices::
693 Sparse Matrices
703 * Creating Sparse Matrices::
768 * Vector Rotation Matrices::
[all …]

12345678910>>...81