| /external/apache-commons-math/src/main/java/org/apache/commons/math/ode/ |
| FirstOrderConverter.java | 29 * <p>The transformation is done by changing the n dimension state
30 * vector to a 2n dimension vector, where the first n components are
63 /** second order problem dimension. */
64 private final int dimension; field in class:FirstOrderConverter
81 dimension = equations.getDimension();
82 z = new double[dimension];
83 zDot = new double[dimension];
84 zDDot = new double[dimension];
87 /** Get the dimension of the problem.
88 * <p>The dimension of the first order problem is twice th
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/random/ |
| UnitSphereRandomVectorGenerator.java | 37 * Space dimension.
39 private final int dimension; field in class:UnitSphereRandomVectorGenerator
42 * @param dimension Space dimension.
45 public UnitSphereRandomVectorGenerator(final int dimension,
47 this.dimension = dimension;
54 * @param dimension Space dimension.
56 public UnitSphereRandomVectorGenerator(final int dimension) {
[all...] |
| UncorrelatedRandomVectorGenerator.java | 67 * @param dimension dimension of the vectors to generate
71 public UncorrelatedRandomVectorGenerator(int dimension,
73 mean = new double[dimension];
74 standardDeviation = new double[dimension];
|
| /packages/apps/Messaging/tools/messagegen/ |
| listimages | 18 dimension=`identify -format "%w %h" $file`
20 echo "$file $dimension $size"
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/exception/ |
| DimensionMismatchException.java | 32 /** Correct dimension. */
33 private final int dimension; field in class:DimensionMismatchException
38 * @param wrong Wrong dimension.
39 * @param expected Expected dimension.
44 dimension = expected;
48 * @return the expected dimension.
51 return dimension;
|
| /external/eigen/unsupported/test/ |
| cxx11_tensor_layout_swap.cpp | 22 VERIFY_IS_EQUAL(tensor.dimension(0), tensor2.dimension(2));
23 VERIFY_IS_EQUAL(tensor.dimension(1), tensor2.dimension(1));
24 VERIFY_IS_EQUAL(tensor.dimension(2), tensor2.dimension(0));
43 VERIFY_IS_EQUAL(tensor.dimension(0), tensor2.dimension(2));
44 VERIFY_IS_EQUAL(tensor.dimension(1), tensor2.dimension(1))
[all...] |
| cxx11_tensor_patch.cpp | 32 VERIFY_IS_EQUAL(no_patch.dimension(0), 1);
33 VERIFY_IS_EQUAL(no_patch.dimension(1), 1);
34 VERIFY_IS_EQUAL(no_patch.dimension(2), 1);
35 VERIFY_IS_EQUAL(no_patch.dimension(3), 1);
36 VERIFY_IS_EQUAL(no_patch.dimension(4), tensor.size());
38 VERIFY_IS_EQUAL(no_patch.dimension(0), tensor.size());
39 VERIFY_IS_EQUAL(no_patch.dimension(1), 1);
40 VERIFY_IS_EQUAL(no_patch.dimension(2), 1);
41 VERIFY_IS_EQUAL(no_patch.dimension(3), 1);
42 VERIFY_IS_EQUAL(no_patch.dimension(4), 1)
[all...] |
| cxx11_tensor_volume_patch.cpp | 15 VERIFY_IS_EQUAL(single_voxel_patch.dimension(0), 4);
16 VERIFY_IS_EQUAL(single_voxel_patch.dimension(1), 1);
17 VERIFY_IS_EQUAL(single_voxel_patch.dimension(2), 1);
18 VERIFY_IS_EQUAL(single_voxel_patch.dimension(3), 1);
19 VERIFY_IS_EQUAL(single_voxel_patch.dimension(4), 2 * 3 * 5);
20 VERIFY_IS_EQUAL(single_voxel_patch.dimension(5), 7);
24 VERIFY_IS_EQUAL(single_voxel_patch_row_major.dimension(0), 7);
25 VERIFY_IS_EQUAL(single_voxel_patch_row_major.dimension(1), 2 * 3 * 5);
26 VERIFY_IS_EQUAL(single_voxel_patch_row_major.dimension(2), 1);
27 VERIFY_IS_EQUAL(single_voxel_patch_row_major.dimension(3), 1)
[all...] |
| cxx11_tensor_image_patch.cpp | 21 VERIFY_IS_EQUAL(tensor.dimension(0), tensor_row_major.dimension(3));
22 VERIFY_IS_EQUAL(tensor.dimension(1), tensor_row_major.dimension(2));
23 VERIFY_IS_EQUAL(tensor.dimension(2), tensor_row_major.dimension(1));
24 VERIFY_IS_EQUAL(tensor.dimension(3), tensor_row_major.dimension(0));
29 VERIFY_IS_EQUAL(single_pixel_patch.dimension(0), 2);
30 VERIFY_IS_EQUAL(single_pixel_patch.dimension(1), 1)
[all...] |
| cxx11_tensor_inflation.cpp | 31 VERIFY_IS_EQUAL(no_stride.dimension(0), 2);
32 VERIFY_IS_EQUAL(no_stride.dimension(1), 3);
33 VERIFY_IS_EQUAL(no_stride.dimension(2), 5);
34 VERIFY_IS_EQUAL(no_stride.dimension(3), 7);
53 VERIFY_IS_EQUAL(inflated.dimension(0), 3);
54 VERIFY_IS_EQUAL(inflated.dimension(1), 9);
55 VERIFY_IS_EQUAL(inflated.dimension(2), 9);
56 VERIFY_IS_EQUAL(inflated.dimension(3), 19);
|
| cxx11_tensor_shuffling.cpp | 31 VERIFY_IS_EQUAL(no_shuffle.dimension(0), 2);
32 VERIFY_IS_EQUAL(no_shuffle.dimension(1), 3);
33 VERIFY_IS_EQUAL(no_shuffle.dimension(2), 5);
34 VERIFY_IS_EQUAL(no_shuffle.dimension(3), 7);
53 VERIFY_IS_EQUAL(shuffle.dimension(0), 5);
54 VERIFY_IS_EQUAL(shuffle.dimension(1), 7);
55 VERIFY_IS_EQUAL(shuffle.dimension(2), 3);
56 VERIFY_IS_EQUAL(shuffle.dimension(3), 2);
98 VERIFY_IS_EQUAL(result.dimension(0), 5);
99 VERIFY_IS_EQUAL(result.dimension(1), 7)
[all...] |
| cxx11_tensor_reverse.cpp | 33 VERIFY_IS_EQUAL(reversed_tensor.dimension(0), 2);
34 VERIFY_IS_EQUAL(reversed_tensor.dimension(1), 3);
35 VERIFY_IS_EQUAL(reversed_tensor.dimension(2), 5);
36 VERIFY_IS_EQUAL(reversed_tensor.dimension(3), 7);
55 VERIFY_IS_EQUAL(reversed_tensor.dimension(0), 2);
56 VERIFY_IS_EQUAL(reversed_tensor.dimension(1), 3);
57 VERIFY_IS_EQUAL(reversed_tensor.dimension(2), 5);
58 VERIFY_IS_EQUAL(reversed_tensor.dimension(3), 7);
78 VERIFY_IS_EQUAL(reversed_tensor.dimension(0), 2);
79 VERIFY_IS_EQUAL(reversed_tensor.dimension(1), 3)
[all...] |
| cxx11_tensor_custom_op.cpp | 20 result[0] = input.dimension(0) * 2;
21 result[1] = input.dimension(1) * 2;
34 Eigen::DSizes<DenseIndex, 2> extents(output.dimension(0)-1, output.dimension(1)-1);
45 VERIFY_IS_EQUAL(result.dimension(0), 6);
46 VERIFY_IS_EQUAL(result.dimension(1), 10);
64 result[0] = input1.dimension(0);
65 result[1] = input2.dimension(1);
66 result[2] = input2.dimension(2);
77 for (int i = 0; i < output.dimension(2); ++i)
[all...] |
| cxx11_tensor_broadcasting.cpp | 30 VERIFY_IS_EQUAL(no_broadcast.dimension(0), 2);
31 VERIFY_IS_EQUAL(no_broadcast.dimension(1), 3);
32 VERIFY_IS_EQUAL(no_broadcast.dimension(2), 5);
33 VERIFY_IS_EQUAL(no_broadcast.dimension(3), 7);
52 VERIFY_IS_EQUAL(broadcast.dimension(0), 4);
53 VERIFY_IS_EQUAL(broadcast.dimension(1), 9);
54 VERIFY_IS_EQUAL(broadcast.dimension(2), 5);
55 VERIFY_IS_EQUAL(broadcast.dimension(3), 28);
82 VERIFY_IS_EQUAL(broadcast.dimension(0), 16);
83 VERIFY_IS_EQUAL(broadcast.dimension(1), 9)
[all...] |
| cxx11_tensor_ifft.cpp | 31 VERIFY_IS_EQUAL(tensor_after_fft.dimension(0), sequence_length);
32 VERIFY_IS_EQUAL(tensor_after_fft_ifft.dimension(0), sequence_length);
54 VERIFY_IS_EQUAL(tensor_after_fft.dimension(0), dim0);
55 VERIFY_IS_EQUAL(tensor_after_fft.dimension(1), dim1);
56 VERIFY_IS_EQUAL(tensor_after_fft_ifft.dimension(0), dim0);
57 VERIFY_IS_EQUAL(tensor_after_fft_ifft.dimension(1), dim1);
83 VERIFY_IS_EQUAL(tensor_after_fft.dimension(0), dim0);
84 VERIFY_IS_EQUAL(tensor_after_fft.dimension(1), dim1);
85 VERIFY_IS_EQUAL(tensor_after_fft.dimension(2), dim2);
86 VERIFY_IS_EQUAL(tensor_after_fft_ifft.dimension(0), dim0)
[all...] |
| cxx11_tensor_map.cpp | 52 VERIFY_IS_EQUAL(vec1.dimension(0), 6);
93 VERIFY_IS_EQUAL(mat3.dimension(0), 2);
94 VERIFY_IS_EQUAL(mat3.dimension(1), 3);
98 VERIFY_IS_EQUAL(mat4.dimension(0), 2);
99 VERIFY_IS_EQUAL(mat4.dimension(1), 3);
137 VERIFY_IS_EQUAL(mat3.dimension(0), 2);
138 VERIFY_IS_EQUAL(mat3.dimension(1), 3);
139 VERIFY_IS_EQUAL(mat3.dimension(2), 7);
143 VERIFY_IS_EQUAL(mat4.dimension(0), 2);
144 VERIFY_IS_EQUAL(mat4.dimension(1), 3)
[all...] |
| cxx11_tensor_striding.cpp | 30 VERIFY_IS_EQUAL(no_stride.dimension(0), 2);
31 VERIFY_IS_EQUAL(no_stride.dimension(1), 3);
32 VERIFY_IS_EQUAL(no_stride.dimension(2), 5);
33 VERIFY_IS_EQUAL(no_stride.dimension(3), 7);
52 VERIFY_IS_EQUAL(stride.dimension(0), 1);
53 VERIFY_IS_EQUAL(stride.dimension(1), 1);
54 VERIFY_IS_EQUAL(stride.dimension(2), 3);
55 VERIFY_IS_EQUAL(stride.dimension(3), 3);
|
| /external/webrtc/webrtc/modules/audio_processing/vad/ |
| gmm.cc | 24 int dimension,
26 for (int n = 0; n < dimension; ++n)
32 int dimension) {
34 for (int i = 0; i < dimension; ++i) {
36 for (int j = 0; j < dimension; j++)
45 if (gmm_parameters.dimension > kMaxDimension) {
54 RemoveMean(x, mean_vec, gmm_parameters.dimension, v);
55 double q = ComputeExponent(v, covar_inv, gmm_parameters.dimension) +
58 mean_vec += gmm_parameters.dimension;
59 covar_inv += gmm_parameters.dimension * gmm_parameters.dimension
[all...] |
| gmm.h | 23 // weight[n] = log(w[n]) - |dimension|/2 * log(2*pi) - 1/2 * log(det(cov[n]));
26 // pointer to the first element of a |num_mixtures|x|dimension| matrix
29 // pointer to the first element of a |num_mixtures|x|dimension|x|dimension|
34 int dimension; member in struct:webrtc::GmmParameters
41 // acceptable dimension by the following function -1 is returned.
|
| /packages/apps/Gallery2/jni/filters/ |
| kmeans.h | 26 inline void sum(T values[], int len, int dimension, int stride, N dst[]) {
29 for (x = 0; x < dimension; x++) {
33 for (y = 0; y < dimension; y++) {
40 inline void set(T val1[], N val2[], int dimension) {
42 for (x = 0; x < dimension; x++) {
48 inline void add(T val[], N dst[], int dimension) {
50 for (x = 0; x < dimension; x++) {
56 inline void divide(T dst[], N divisor, int dimension) {
61 for (x = 0; x < dimension; x++) {
71 inline N euclideanDist(T val1[], T val2[], int dimension) {
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/util/ |
| MultidimensionalCounter.java | 49 private final int dimension; field in class:MultidimensionalCounter
51 * Offset for each dimension.
63 * Index of last dimension.
74 private final int[] counter = new int[dimension];
92 for (int i = 0; i < dimension; i++) {
131 return /* Arrays.*/ copyOf(counter, dimension); // Java 1.5 does not support Arrays.copyOf()
135 * Get the current count in the selected dimension.
137 * @param dim Dimension index.
160 * @param size Counter sizes (number of slots in each dimension).
165 dimension = size.length
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| /external/skia/src/core/ |
| SkColorLookUpTable.h | 44 int gridPoints(int dimension) const {
45 SkASSERT(dimension >= 0 && dimension < inputChannels());
46 return fGridPoints[dimension];
60 // recursively LERPs one dimension at a time. Used by interp() for the general case
|
| /external/libjpeg-turbo/java/org/libjpegturbo/turbojpeg/ |
| TJScalingFactor.java | 63 * Returns the scaled value of <code>dimension</code>. This function
65 * <code>ceil(dimension * scalingFactor)</code>.
67 * @return the scaled value of <code>dimension</code>.
69 public int getScaled(int dimension) {
70 return (dimension * num + denom - 1) / denom;
|
| /packages/apps/DocumentsUI/src/com/android/documentsui/sorting/ |
| HeaderCell.java | 61 void onBind(SortDimension dimension) {
62 setVisibility(dimension.getVisibility());
64 if (dimension.getVisibility() == View.VISIBLE) {
66 label.setText(dimension.getLabelId());
67 switch (dimension.getDataType()) {
76 "Unknown column data type: " + dimension.getDataType() + ".");
79 if (mCurDirection != dimension.getSortDirection()) {
81 switch (dimension.getSortDirection()) {
95 "Unknown sort direction: " + dimension.getSortDirection() + ".");
98 mCurDirection = dimension.getSortDirection()
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/moment/ |
| VectorialCovariance.java | 49 * @param dimension vectors dimension
53 public VectorialCovariance(int dimension, boolean isBiasCorrected) {
54 sums = new double[dimension];
55 productsSums = new double[dimension * (dimension + 1) / 2];
63 * @exception DimensionMismatchException if the vector does not have the right dimension
85 int dimension = sums.length; local
86 RealMatrix result = MatrixUtils.createRealMatrix(dimension, dimension);
[all...] |
