Searched refs:matrix2 (Results 1 – 6 of 6) sorted by relevance
/external/eigen/demos/mix_eigen_and_c/ |
D | example.c | 15 struct C_MatrixXd *matrix1, *matrix2, *result; in demo_MatrixXd() local 25 matrix2 = MatrixXd_new(3, 3); in demo_MatrixXd() 26 MatrixXd_multiply(matrix1, matrix1, matrix2); in demo_MatrixXd() 28 MatrixXd_print(matrix2); in demo_MatrixXd() 31 MatrixXd_delete(matrix2); in demo_MatrixXd()
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/external/eigen/doc/ |
D | TopicLazyEvaluation.dox | 27 \code matrix1 = matrix2 + matrix3; \endcode 31 \code matrix1 = (matrix2 + matrix3).eval(); \endcode 35 \code matrix1 = -matrix2 + matrix3 + 5 * matrix4; \endcode 47 \code matrix1.noalias() = matrix2 * matrix2; \endcode 49 Here, since we know that matrix2 is not the same matrix as matrix1, we know that lazy evaluation is… 53 \code matrix1 = matrix2 + matrix3 * matrix4; \endcode 59 \code matrix1 = matrix2 * (matrix3 + matrix4); \endcode
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D | TutorialMatrixArithmetic.dox | 15 linear-algebraic operations. For example, \c matrix1 \c * \c matrix2 means matrix-matrix product,
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/external/autotest/client/tests/iozone/ |
D | postprocessing.py | 62 def compare_matrices(matrix1, matrix2, treshold=0.05): argument 77 for line1, line2 in zip(matrix1, matrix2):
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/external/pdfium/core/src/fxge/skia/ |
D | fx_skia_device.cpp | 476 CFX_Matrix matrix1, matrix2; in DrawPath() local 484 matrix2.Set(pObject2Device->a / matrix1.a, pObject2Device->b / matrix1.a, in DrawPath() 498 SkRasterizeStroke(spaint, &dst_path, path_data.m_PathData, &matrix2, in DrawPath()
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/external/pdfium/core/src/fxge/agg/src/ |
D | fx_agg_driver.cpp | 1258 CFX_Matrix matrix1, matrix2; in DrawPath() local 1263 matrix2.Set(pObject2Device->a / matrix1.a, pObject2Device->b / matrix1.a, in DrawPath() 1267 mtRervese.SetReverse(matrix2); in DrawPath() 1276 RasterizeStroke(rasterizer, path_data.m_PathData, &matrix2, pGraphState, in DrawPath()
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