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  /external/libvncserver/webclients/novnc/include/
black.css 15 background: -moz-linear-gradient(top, #4c4c4c 0%, #2c2c2c 50%, #000000 51%, #131313 100%); /* FF3.6+ */
16 background: -webkit-gradient(linear, left top, left bottom, color-stop(0%,#4c4c4c), color-stop(50%,#2c2c2c), color-stop(51%,#000000), color-stop(100%,#131313)); /* Chrome,Safari4+ */
17 background: -webkit-linear-gradient(top, #4c4c4c 0%,#2c2c2c 50%,#000000 51%,#131313 100%); /* Chrome10+,Safari5.1+ */
18 background: -o-linear-gradient(top, #4c4c4c 0%,#2c2c2c 50%,#000000 51%,#131313 100%); /* Opera11.10+ */
19 background: -ms-linear-gradient(top, #4c4c4c 0%,#2c2c2c 50%,#000000 51%,#131313 100%); /* IE10+ */
20 background: linear-gradient(top, #4c4c4c 0%,#2c2c2c 50%,#000000 51%,#131313 100%); /* W3C */
24 background: -moz-linear-gradient(top, #f04040 0%, #2c2c2c 50%, #000000 51%, #131313 100%); /* FF3.6+ */
25 background: -webkit-gradient(linear, left top, left bottom, color-stop(0%,#f04040), color-stop(50%,#2c2c2c), color-stop(51%,#000000), color-stop(100%,#131313)); /* Chrome,Safari4+ */
26 background: -webkit-linear-gradient(top, #f04040 0%,#2c2c2c 50%,#000000 51%,#131313 100%); /* Chrome10+,Safari5.1+ */
27 background: -o-linear-gradient(top, #f04040 0%,#2c2c2c 50%,#000000 51%,#131313 100%); /* Opera11.10+ *
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blue.css 11 background-image: -webkit-gradient(
18 background-image: -moz-linear-gradient(
26 background-image: -webkit-gradient(
33 background-image: -moz-linear-gradient(
41 background-image: -webkit-gradient(
48 background-image: -moz-linear-gradient(
base.css 177 background:#eee; /* default background for browsers without gradient support */
243 background: -moz-linear-gradient(top, #b2bdcd 0%, #899cb3 49%, #7e93af 51%, #6e84a3 100%); /* FF3.6+ */
244 background: -webkit-gradient(linear, left top, left bottom, color-stop(0%,#b2bdcd), color-stop(49%,#899cb3), color-stop(51%,#7e93af), color-stop(100%,#6e84a3)); /* Chrome,Safari4+ */
245 background: -webkit-linear-gradient(top, #b2bdcd 0%,#899cb3 49%,#7e93af 51%,#6e84a3 100%); /* Chrome10+,Safari5.1+ */
246 background: -o-linear-gradient(top, #b2bdcd 0%,#899cb3 49%,#7e93af 51%,#6e84a3 100%); /* Opera11.10+ */
247 background: -ms-linear-gradient(top, #b2bdcd 0%,#899cb3 49%,#7e93af 51%,#6e84a3 100%); /* IE10+ */
248 background: linear-gradient(top, #b2bdcd 0%,#899cb3 49%,#7e93af 51%,#6e84a3 100%); /* W3C */
252 background: -moz-linear-gradient(top, #f04040 0%, #899cb3 49%, #7e93af 51%, #6e84a3 100%); /* FF3.6+ */
253 background: -webkit-gradient(linear, left top, left bottom, color-stop(0%,#f04040), color-stop(49%,#899cb3), color-stop(51%,#7e93af), color-stop(100%,#6e84a3)); /* Chrome,Safari4+ */
254 background: -webkit-linear-gradient(top, #f04040 0%,#899cb3 49%,#7e93af 51%,#6e84a3 100%); /* Chrome10+,Safari5.1+ *
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  /external/apache-commons-math/src/main/java/org/apache/commons/math/analysis/
DifferentiableMultivariateRealFunction.java 33 * needed, it may be more efficient to use the {@link #gradient()} method which will
43 * Returns the gradient function.
47 * @return the gradient function
49 MultivariateVectorialFunction gradient(); method in interface:DifferentiableMultivariateRealFunction
  /frameworks/base/tests/HwAccelerationTest/src/com/android/test/hwui/
GradientStopsActivity.java 47 LinearGradient gradient = new LinearGradient(0.0f, 0.0f, 256.0f, 0.0f, local
51 paint.setShader(gradient);
57 gradient = new LinearGradient(0.0f, 0.0f, 256.0f, 0.0f,
60 paint.setShader(gradient);
67 gradient = new LinearGradient(0.0f, 0.0f, 256.0f, 0.0f,
70 paint.setShader(gradient);
76 gradient = new LinearGradient(0.0f, 0.0f, 256.0f, 0.0f,
79 paint.setShader(gradient);
84 gradient = new LinearGradient(0.0f, 0.0f, 256.0f, 0.0f,
87 paint.setShader(gradient);
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  /external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/fitting/
ParametricRealFunction.java 41 * Compute the gradient of the function with respect to its parameters.
47 double[] gradient(double x, double[] parameters) method in interface:ParametricRealFunction
PolynomialFitter.java 87 public double[] gradient(double x, double[] parameters) { method in class:PolynomialFitter.ParametricPolynomial
88 final double[] gradient = new double[parameters.length]; local
91 gradient[i] = xn;
94 return gradient;
  /external/ceres-solver/internal/ceres/
evaluator_test_utils.h 43 const double gradient[50]; member in struct:ceres::internal::ExpectedEvaluation
line_search_minimizer.h 52 gradient(num_effective_parameters),
60 Vector gradient; member in struct:ceres::internal::LineSearchMinimizer::State
line_search_direction.cc 46 *search_direction = -current.gradient;
69 gradient_change = current.gradient - previous.gradient;
70 beta = (current.gradient.dot(gradient_change) /
74 gradient_change = current.gradient - previous.gradient;
75 beta = (current.gradient.dot(gradient_change) /
79 LOG(FATAL) << "Unknown nonlinear conjugate gradient type: " << type_;
82 *search_direction = -current.gradient + beta * previous.search_direction;
84 current.gradient.dot(*search_direction)
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evaluator.h 99 vector<double>* gradient,
145 double* gradient,
154 double* gradient,
160 gradient,
program_evaluator.h 138 double* gradient,
141 ScopedExecutionTimer call_type_timer(gradient == NULL && jacobian == NULL
162 if (gradient != NULL) {
163 VectorRef(evaluate_scratch_[i].gradient.get(),
194 } else if (gradient != NULL) {
200 if (jacobian != NULL || gradient != NULL) {
234 // Compute and store the gradient, if it was requested.
235 if (gradient != NULL) {
250 scratch->gradient.get() + parameter_block->delta_offset());
258 // Sum the cost and gradient (if requested) from each thread
328 scoped_array<double> gradient; member in struct:ceres::internal::ProgramEvaluator::EvaluateScratch
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polynomial.h 89 // function and or its gradient at a given point x.
95 gradient(0.0),
103 double gradient; // gradient = f'(x) member in struct:ceres::internal::FunctionSample
107 // Given a set of function value and/or gradient samples, find a
line_search.cc 59 const double gradient) {
63 sample.gradient = gradient;
183 // Select step size by interpolating the function and gradient values
190 // gradient at the lower bound.
195 // gradient at the lower bound.
247 // gradient at the current query point.
261 ? &current.gradient : NULL);
311 ? &current.gradient : NULL);
414 // bracket_low.gradient * (bracket_high.x - bracket_low.x) < 0
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low_rank_inverse_hessian.cc 121 ConstVectorRef gradient(x_ptr, num_parameters_);
124 search_direction = gradient;
159 // the components of the gradient is large).
trust_region_minimizer_test.cc 89 double* gradient,
166 if (gradient != NULL) {
169 gradient[column_index++] = f1 + f4 * sqrt(10.0) * 2.0 * (x1 - x4);
173 gradient[column_index++] = f1 * 10.0 + f3 * 2.0 * (x2 - 2.0 * x3);
177 gradient[column_index++] =
182 gradient[column_index++] =
  /frameworks/ml/bordeaux/learning/stochastic_linear_ranker/native/
stochastic_linear_ranker.cpp 32 SparseWeightVector<Key, Hash> gradient; local
34 gradient.AdditiveWeightUpdate(1.0, positive, 0.0);
35 gradient.AdditiveWeightUpdate(-1.0, negative, 0.0);
38 const double gradient_norm = gradient.L2Norm();
50 gradient.AdditiveWeightUpdate(-lambda_, weight_, 0.0);
54 gradient.ReprojectL0(gradient_l0_norm);
57 if (gradient.IsValid())
58 weight_.AdditiveWeightUpdate(final_learning_rate, gradient, 0.0);
  /external/mesa3d/src/gallium/state_trackers/vega/
paint.c 70 } gradient; member in struct:vg_paint
167 memcpy(map, p->gradient.color_data, sizeof(VGint)*1024);
207 paint->gradient.spread = VG_COLOR_RAMP_SPREAD_PAD;
208 memcpy(paint->gradient.linear.coords, def_ling,
210 memcpy(paint->gradient.radial.vals, def_radg,
213 paint->gradient.sampler.wrap_s = PIPE_TEX_WRAP_CLAMP_TO_EDGE;
214 paint->gradient.sampler.wrap_t = PIPE_TEX_WRAP_CLAMP_TO_EDGE;
215 paint->gradient.sampler.min_img_filter = PIPE_TEX_MIPFILTER_NEAREST;
216 paint->gradient.sampler.mag_img_filter = PIPE_TEX_MIPFILTER_NEAREST;
217 paint->gradient.sampler.normalized_coords = 1
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  /development/samples/ApiDemos/src/com/example/android/apis/animation/
ShapeHolder.java 33 private RadialGradient gradient; field in class:ShapeHolder
70 gradient = value;
73 return gradient;
  /external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/general/
AbstractScalarDifferentiableOptimizer.java 72 /** Number of gradient evaluations. */
78 /** Objective function gradient. */
79 private MultivariateVectorialFunction gradient; field in class:AbstractScalarDifferentiableOptimizer
148 * Compute the gradient vector.
149 * @param evaluationPoint point at which the gradient must be evaluated
150 * @return gradient at the specified point
151 * @exception FunctionEvaluationException if the function gradient
156 return gradient.value(evaluationPoint);
189 gradient = f.gradient();
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  /external/chromium-trace/catapult/tracing/tracing/ui/tracks/
process_track_base.css 8 background-image: -webkit-gradient(linear,
  /external/skia/experimental/docs/
canvasBackend.js 102 if ('gradient' in paint) {
103 var gradient = paint.gradient.split('.');
104 var gradName = gradient[1];
106 var g = window[gradient[0]][gradient[1]];
  /external/skia/tools/lua/
gradients.lua 16 --io.write(g.type, " gradient with ", g.colorCount, " colors\n")
  /packages/apps/Gallery2/jni/
Android.mk 27 LOCAL_SRC_FILES := filters/gradient.c \
  /external/opencv3/modules/ml/src/
lr.cpp 358 // implements batch gradient descent
375 Mat gradient; local
398 gradient = pcal_a * pcal_b;
406 gradient.row(0) = ((float)1/m) * sum(pcal_ab)[0];
411 for(int ii = 1;ii<gradient.rows;ii++)
417 gradient.row(ii) = (1.0/m)*sum(pcal_ab)[0] + (llambda/m) * theta_p.row(ii);
420 theta_p = theta_p - ( static_cast<double>(this->params.alpha)/m)*gradient;
427 // implements batch gradient descent
447 Mat gradient; local
484 gradient = pcal_a * pcal_b
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