/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+ * [all...] |
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(
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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+ * [all...] |
/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
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/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); [all...] |
/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
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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;
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/external/ceres-solver/internal/ceres/ |
evaluator_test_utils.h | 43 const double gradient[50]; member in struct:ceres::internal::ExpectedEvaluation
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line_search_minimizer.h | 52 gradient(num_effective_parameters), 60 Vector gradient; member in struct:ceres::internal::LineSearchMinimizer::State
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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) [all...] |
evaluator.h | 99 vector<double>* gradient, 145 double* gradient, 154 double* gradient, 160 gradient,
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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 [all...] |
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
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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 ? ¤t.gradient : NULL); 311 ? ¤t.gradient : NULL); 414 // bracket_low.gradient * (bracket_high.x - bracket_low.x) < 0 [all...] |
low_rank_inverse_hessian.cc | 121 ConstVectorRef gradient(x_ptr, num_parameters_); 124 search_direction = gradient; 159 // the components of the gradient is large).
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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++] =
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/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);
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/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 [all...] |
/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;
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/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(); [all...] |
/external/chromium-trace/catapult/tracing/tracing/ui/tracks/ |
process_track_base.css | 8 background-image: -webkit-gradient(linear,
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/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]];
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/external/skia/tools/lua/ |
gradients.lua | 16 --io.write(g.type, " gradient with ", g.colorCount, " colors\n")
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/packages/apps/Gallery2/jni/ |
Android.mk | 27 LOCAL_SRC_FILES := filters/gradient.c \
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/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 [all...] |