| /external/eigen/demos/mix_eigen_and_c/ |
| D | example.c | 15 struct C_MatrixXd *matrix1, *matrix2, *result; in demo_MatrixXd() local
18 matrix1 = MatrixXd_new(3, 3); in demo_MatrixXd()
19 MatrixXd_set_zero(matrix1); in demo_MatrixXd()
20 MatrixXd_set_coeff(matrix1, 0, 1, 2.5); in demo_MatrixXd()
21 MatrixXd_set_coeff(matrix1, 1, 0, 1.4); in demo_MatrixXd()
23 MatrixXd_print(matrix1); in demo_MatrixXd()
26 MatrixXd_multiply(matrix1, matrix1, matrix2); in demo_MatrixXd()
30 MatrixXd_delete(matrix1); in demo_MatrixXd()
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| /external/webrtc/webrtc/modules/audio_coding/codecs/isac/fix/source/ |
| D | entropy_coding.h | 114 const int32_t matrix1[],
125 const int32_t matrix1[],
134 const int32_t matrix1[],
145 const int32_t matrix1[],
152 const int32_t matrix1[],
163 const int32_t matrix1[],
171 const int32_t matrix1[],
183 const int32_t matrix1[],
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| D | entropy_coding_mips.c | 18 const int32_t matrix1[], in WebRtcIsacfix_MatrixProduct1MIPS() argument
39 const int32_t* matrix1_start = matrix1; in WebRtcIsacfix_MatrixProduct1MIPS()
91 : [product_step] "r" (product_step), [matrix1] "r" (matrix1), in WebRtcIsacfix_MatrixProduct1MIPS()
109 const int32_t* matrix1_start = matrix1; in WebRtcIsacfix_MatrixProduct1MIPS()
175 const int32_t matrix1[], in WebRtcIsacfix_MatrixProduct2MIPS() argument
245 [matrix1] "r" (matrix1), [matrix0_step] "r" (matrix0_step), in WebRtcIsacfix_MatrixProduct2MIPS()
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| D | entropy_coding_neon.c | 26 const int32_t matrix1[], in WebRtcIsacfix_MatrixProduct1Neon() argument
63 vshlq_s32(vld1q_s32(&matrix1[matrix1_index]), shift32x4); in WebRtcIsacfix_MatrixProduct1Neon()
81 vshl_s32(vld1_s32(&matrix1[matrix1_index]), shift32x2); in WebRtcIsacfix_MatrixProduct1Neon()
102 int32x4_t matrix1_32x4 = vdupq_n_s32(matrix1[matrix1_index] << shift); in WebRtcIsacfix_MatrixProduct1Neon()
118 int32x2_t matrix1_32x2 = vdup_n_s32(matrix1[matrix1_index] << shift); in WebRtcIsacfix_MatrixProduct1Neon()
147 vshlq_s32(vld1q_s32(&matrix1[matrix1_index]), shift32x4); in WebRtcIsacfix_MatrixProduct1Neon()
158 vshl_s32(vld1_s32(&matrix1[matrix1_index]), shift32x2); in WebRtcIsacfix_MatrixProduct1Neon()
182 matrix1[matrix1_index] << shift)); in WebRtcIsacfix_MatrixProduct1Neon()
194 const int32_t matrix1[], in WebRtcIsacfix_MatrixProduct2Neon() argument
208 int32x2_t matrix1_32x2 = vld1_s32(&matrix1[matrix1_index]); in WebRtcIsacfix_MatrixProduct2Neon()
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| D | entropy_coding.c | 841 const int32_t matrix1[], in WebRtcIsacfix_MatrixProduct1C() argument
868 matrix1[matrix1_index] << shift)); in WebRtcIsacfix_MatrixProduct1C()
892 const int32_t matrix1[], in WebRtcIsacfix_MatrixProduct2C() argument
904 matrix1[matrix1_index])); in WebRtcIsacfix_MatrixProduct2C()
906 matrix1[matrix1_index + 1])); in WebRtcIsacfix_MatrixProduct2C()
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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/pdfium/core/fxge/agg/ |
| D | fx_agg_driver.cpp | 1498 CFX_Matrix matrix1; in DrawPath() local
1501 matrix1.a = in DrawPath()
1503 matrix1.d = matrix1.a; in DrawPath()
1505 pObject2Device->a / matrix1.a, pObject2Device->b / matrix1.a, in DrawPath()
1506 pObject2Device->c / matrix1.d, pObject2Device->d / matrix1.d, 0, 0); in DrawPath()
1510 matrix1 = *pObject2Device; in DrawPath()
1511 matrix1.Concat(mtRervese); in DrawPath()
1515 path_data.BuildPath(pPathData, &matrix1); in DrawPath()
1520 matrix1.a, false, !!(fill_mode & FX_STROKE_TEXT_MODE)); in DrawPath()
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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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