/external/eigen/doc/snippets/ |
H A D | Tutorial_AdvancedInitialization_ThreeWays.cpp | 2 MatrixXd mat1(size, size); 3 mat1.topLeftCorner(size/2, size/2) = MatrixXd::Zero(size/2, size/2); 4 mat1.topRightCorner(size/2, size/2) = MatrixXd::Identity(size/2, size/2); 5 mat1.bottomLeftCorner(size/2, size/2) = MatrixXd::Identity(size/2, size/2); 6 mat1.bottomRightCorner(size/2, size/2) = MatrixXd::Zero(size/2, size/2); 7 std::cout << mat1 << std::endl << std::endl;
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/external/eigen/test/ |
H A D | product_large.cpp | 55 MatrixXf mat1(10,32); mat1.setRandom(); 57 MatrixXf r1 = mat1.row(2)*mat2.transpose(); 58 VERIFY_IS_APPROX(r1, (mat1.row(2)*mat2.transpose()).eval()); 60 MatrixXf r2 = mat1.row(2)*mat2; 61 VERIFY_IS_APPROX(r2, (mat1.row(2)*mat2).eval());
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/external/eigen/test/eigen2/ |
H A D | eigen2_product_large.cpp | 39 MatrixXf mat1(10,10); mat1.setRandom(); 41 MatrixXf result = mat1.row(2)*mat2.transpose(); 42 VERIFY_IS_APPROX(result, (mat1.row(2)*mat2.transpose()).eval());
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/external/jmonkeyengine/engine/src/test/jme3test/helloworld/ |
H A D | HelloNode.java | 59 Material mat1 = new Material(assetManager, 61 mat1.setColor("Color", ColorRGBA.Blue); 62 blue.setMaterial(mat1);
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H A D | HelloAudio.java | 32 Material mat1 = new Material(assetManager, 34 mat1.setColor("Color", ColorRGBA.Blue); 35 player.setMaterial(mat1);
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H A D | HelloPicking.java | 130 Material mat1 = new Material(assetManager, "Common/MatDefs/Misc/Unshaded.j3md");
131 mat1.setColor("Color", ColorRGBA.randomColor());
132 cube.setMaterial(mat1);
140 Material mat1 = new Material(assetManager, "Common/MatDefs/Misc/Unshaded.j3md");
141 mat1.setColor("Color", ColorRGBA.Gray);
142 floor.setMaterial(mat1);
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/external/jmonkeyengine/engine/src/test/jme3test/collision/ |
H A D | TestMousePick.java | 112 Material mat1 = new Material(assetManager, "Common/MatDefs/Misc/Unshaded.j3md"); 113 mat1.setColor("Color", ColorRGBA.randomColor()); 114 cube.setMaterial(mat1); 122 Material mat1 = new Material(assetManager, "Common/MatDefs/Misc/Unshaded.j3md"); 123 mat1.setColor("Color", ColorRGBA.Gray); 124 floor.setMaterial(mat1);
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/external/jmonkeyengine/engine/src/test/jme3test/audio/ |
H A D | TestAmbient.java | 73 Material mat1 = new Material(assetManager, 75 mat1.setColor("Color", ColorRGBA.Blue); 76 player.setMaterial(mat1);
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/external/jmonkeyengine/engine/src/test/jme3test/conversion/ |
H A D | TestMipMapGen.java | 77 Material mat1 = new Material(assetManager, "Common/MatDefs/Misc/Unshaded.j3md"); 78 mat1.setTexture("ColorMap", tex); 83 quad1.setMaterial(mat1);
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/external/jmonkeyengine/engine/src/test/jme3test/bullet/ |
H A D | TestCollisionShapeFactory.java | 57 private Material mat1; field in class:TestCollisionShapeFactory 74 attachRandomGeometry(node, mat1); 126 mat1 = new Material(assetManager, "Common/MatDefs/Misc/Unshaded.j3md"); 127 mat1.setColor("Color", ColorRGBA.Green);
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/external/opencv/cxcore/src/ |
H A D | cxnorm.cpp | 979 CvMat stub1, *mat1 = (CvMat*)imgB; local 985 if( !mat1 ) 987 mat1 = mat2; 1009 if( CV_IS_MAT(mat1) && (!mat2 || CV_IS_MAT(mat2)) && !mask ) 1013 if( !CV_ARE_TYPES_EQ( mat1, mat2 )) 1016 if( !CV_ARE_SIZES_EQ( mat1, mat2 )) 1022 size = cvGetMatSize( mat1 ); 1023 type = CV_MAT_TYPE(mat1->type); 1027 if( CV_IS_MAT_CONT( mat1->type & mat2_flag )) 1035 const float* src1data = mat1 [all...] |
H A D | cxcopy.cpp | 712 CvSparseMat* mat1 = (CvSparseMat*)mat; local 713 cvClearSet( mat1->heap ); 714 if( mat1->hashtable ) 715 memset( mat1->hashtable, 0, mat1->hashsize*sizeof(mat1->hashtable[0]));
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/external/jmonkeyengine/engine/src/test/jme3test/batching/ |
H A D | TestBatchNodeCluster.java | 62 Material mat1; field in class:TestBatchNodeCluster 81 mat1 = new Material(assetManager, "Common/MatDefs/Misc/Unshaded.j3md"); 82 mat1.setColor("Color", ColorRGBA.White); 83 mat1.setColor("GlowColor", ColorRGBA.Blue.mult(10)); 148 box.setMaterial(mat1);
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/external/opencv/cv/src/ |
H A D | cvaccum.cpp | 594 CvMat stub1, *mat1 = (CvMat*)arrA; local 605 CV_CALL( mat1 = cvGetMat( mat1, &stub1, &coi1 )); 612 if( !CV_ARE_CNS_EQ( mat1, mat2 ) || !CV_ARE_CNS_EQ( mat1, sum )) 618 if( !CV_ARE_SIZES_EQ( mat1, sum ) || !CV_ARE_SIZES_EQ( mat2, sum )) 621 size = cvGetMatSize( mat1 ); 622 type = CV_MAT_TYPE( mat1->type ); 624 mat1_step = mat1->step; 637 if( CV_IS_MAT_CONT( mat1 [all...] |
H A D | cvhistogram.cpp | 513 CvSparseMat* mat1 = (CvSparseMat*)(hist1->bins); local 518 if( mat1->heap->active_count > mat2->heap->active_count ) 521 CV_SWAP( mat1, mat2, t ); 527 for( node1 = cvInitSparseMatIterator( mat1, &iterator ); 530 double v1 = *(float*)CV_NODE_VAL(mat1,node1); 531 uchar* node2_data = cvPtrND( mat2, CV_NODE_IDX(mat1,node1), 0, 0, &node1->hashval ); 548 if( !cvPtrND( mat1, CV_NODE_IDX(mat2,node2), 0, 0, &node2->hashval )) 559 for( node1 = cvInitSparseMatIterator( mat1, &iterator ); 562 double v1 = *(float*)CV_NODE_VAL(mat1,node1); 563 uchar* node2_data = cvPtrND( mat2, CV_NODE_IDX(mat1,node [all...] |
/external/openfst/src/include/fst/ |
H A D | intersect.h | 40 M *mat1 = 0, M *mat2 = 0, 42 : ComposeFstOptions<A, M, F, T>(opts, mat1, mat2, filt, sttable) { }
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H A D | difference.h | 41 M *mat1 = 0, M *mat2 = 0, 43 : ComposeFstOptions<A, M, F, T>(mat1, mat2, filt, sttable) { }
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H A D | compose.h | 59 M *mat1 = 0, M *mat2 = 0, 61 : CacheOptions(opts), matcher1(mat1), matcher2(mat2), 90 M1 *mat1 = 0, M2 *mat2 = 0, 92 : CacheOptions(opts), matcher1(mat1), matcher2(mat2),
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/external/opencv/cxcore/include/ |
H A D | cxtypes.h | 593 #define CV_ARE_TYPES_EQ(mat1, mat2) \ 594 ((((mat1)->type ^ (mat2)->type) & CV_MAT_TYPE_MASK) == 0) 596 #define CV_ARE_CNS_EQ(mat1, mat2) \ 597 ((((mat1)->type ^ (mat2)->type) & CV_MAT_CN_MASK) == 0) 599 #define CV_ARE_DEPTHS_EQ(mat1, mat2) \ 600 ((((mat1)->type ^ (mat2)->type) & CV_MAT_DEPTH_MASK) == 0) 602 #define CV_ARE_SIZES_EQ(mat1, mat2) \ 603 ((mat1)->rows == (mat2)->rows && (mat1)->cols == (mat2)->cols)
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/external/clang/test/Sema/ |
H A D | array-init.c | 253 const Matrix mat1 = { local
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/external/eigen/Eigen/src/IterativeLinearSolvers/ |
H A D | IncompleteLUT.h | 224 SparseMatrix<Scalar,ColMajor, Index> mat1 = amat; local 227 // FIXME for a matrix with nearly symmetric pattern, mat2+mat1 is the appropriate choice. 228 // on the other hand for a really non-symmetric pattern, mat2*mat1 should be prefered... 229 SparseMatrix<Scalar,ColMajor, Index> AtA = mat2 + mat1;
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