| /external/apache-commons-math/src/main/java/org/apache/commons/math/analysis/ |
| DifferentiableUnivariateMatrixFunction.java | 29 * Returns the derivative of the function
31 * @return the derivative function
33 UnivariateMatrixFunction derivative(); method in interface:DifferentiableUnivariateMatrixFunction
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| DifferentiableUnivariateRealFunction.java | 28 * Returns the derivative of the function
30 * @return the derivative function
32 UnivariateRealFunction derivative(); method in interface:DifferentiableUnivariateRealFunction
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| DifferentiableUnivariateVectorialFunction.java | 29 * Returns the derivative of the function
31 * @return the derivative function
33 UnivariateVectorialFunction derivative(); method in interface:DifferentiableUnivariateVectorialFunction
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/fitting/ |
| HarmonicFunction.java | 55 public HarmonicFunction derivative() { method in class:HarmonicFunction
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| GaussianFunction.java | 114 public UnivariateRealFunction derivative() { method in class:GaussianFunction
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/analysis/solvers/ |
| NewtonSolver.java | 83 * @throws FunctionEvaluationException if an error occurs evaluating the function or derivative
102 * @throws FunctionEvaluationException if an error occurs evaluating the function or derivative
123 * @throws FunctionEvaluationException if an error occurs evaluating the function or derivative
144 * @throws FunctionEvaluationException if an error occurs evaluating the function or derivative
156 final UnivariateRealFunction derivative = local
157 ((DifferentiableUnivariateRealFunction) f).derivative();
167 x1 = x0 - (f.value(x0) / derivative.value(x0));
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/analysis/polynomials/ |
| PolynomialSplineFunction.java | 150 * Returns the derivative of the polynomial spline function as a UnivariateRealFunction
151 * @return the derivative function
153 public UnivariateRealFunction derivative() { method in class:PolynomialSplineFunction
158 * Returns the derivative of the polynomial spline function as a PolynomialSplineFunction
160 * @return the derivative function
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| PolynomialFunction.java | 226 * Returns the coefficients of the derivative of the polynomial with the given coefficients.
229 * @return the coefficients of the derivative or null if coefficients has length 1.
249 * Returns the derivative as a PolynomialRealFunction
251 * @return the derivative polynomial
258 * Returns the derivative as a UnivariateRealFunction
260 * @return the derivative function
262 public UnivariateRealFunction derivative() { method in class:PolynomialFunction
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| /external/eigen/unsupported/test/ |
| splines.cpp | 265 PointType derivative = spline.derivatives(knots(i), 1).col(1); local
267 VERIFY_IS_APPROX(derivative, referenceDerivative);
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| /packages/apps/Camera2/src/com/android/camera/ui/motion/ |
| UnitBezier.java | 85 float derivative = fn.derivative(input); local
86 if (Math.abs(derivative) < EPSILON) {
89 input = input - value / derivative;
125 float derivative(float x); method in interface:UnitBezier.DerivableFloatFn
153 public float derivative(float x) { method in class:UnitBezier.CubicBezierFn
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| /packages/apps/Messaging/src/com/android/messaging/util/ |
| CubicBezierInterpolator.java | 91 double derivative = (getX(t + epsilon) - value) / epsilon; local
94 } else if (Math.abs(derivative) < epsilon) {
102 t -= (value - x) / derivative;
107 // derivative was close to 0, use an interval bisection instead.
|
| /external/webrtc/webrtc/modules/remote_bitrate_estimator/test/estimators/ |
| nada.cc | 105 float derivative = 0.0f; local
107 derivative = (congestion_signal_ms - last_congestion_signal_ms_) /
125 derivative, RecentKbps(), corrected_send_time_ms);
205 fb.derivative() < kDerivativeUpperBound) {
216 fb.derivative() < kDerivativeUpperBound &&
272 float x_hat = fb.congestion_signal() + kEta * kTauOMs * fb.derivative();
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| nada_unittest.cc | 136 float derivative = 0.0f; local
139 derivative, receiving_rate, send_time_ms);
146 float derivative = 1.0f; local
149 derivative, receiving_rate, send_time_ms);
157 float derivative = 10000.0f; local
160 derivative, receiving_rate, send_time_ms);
326 EXPECT_EQ(nada_feedback->derivative(), 0.0f);
350 EXPECT_EQ(nada_feedback->derivative(), 0.0f);
392 EXPECT_NEAR(nada_feedback->derivative(),
396 EXPECT_NEAR(nada_feedback->derivative(),
[all...] |
| /external/webrtc/webrtc/modules/remote_bitrate_estimator/test/ |
| packet.h | 155 float derivative,
162 derivative_(derivative),
171 float derivative() const { return derivative_; } function in class:webrtc::testing::bwe::NadaFeedback
|
| /external/ImageMagick/MagickCore/ |
| segment.c | 51 % build an interval tree of zero crossings in the second derivative
863 % DerivativeHistogram() determines the derivative of the histogram using
869 % double *derivative)
876 % o derivative: This array of doubles is initialized by
877 % DerivativeHistogram to the derivative of the histogram using central
882 double *derivative)
892 derivative[0]=(-1.5*histogram[0]+2.0*histogram[1]-0.5*histogram[2]);
893 derivative[n]=(0.5*histogram[n-2]-2.0*histogram[n-1]+1.5*histogram[n]);
895 Compute derivative using central differencing.
898 derivative[i]=(histogram[i+1]-histogram[i-1])/2.0
1504 *derivative, local
[all...] |
