| /external/apache-commons-math/src/main/java/org/apache/commons/math/ode/events/ |
| EventState.java | 27 import org.apache.commons.math.util.FastMath;
99 this.convergence = FastMath.abs(convergence);
205 if (FastMath.abs(t1 - t0) < convergence) {
211 final int n = FastMath.max(1, (int) FastMath.ceil(FastMath.abs(dt) / maxCheckInterval));
277 (FastMath.abs(root - ta) <= convergence) &&
278 (FastMath.abs(root - previousEventTime) <= convergence)) {
283 (FastMath.abs(previousEventTime - root) > convergence)) {
336 if (pendingEvent && (FastMath.abs(pendingEventTime - t) <= convergence))
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/analysis/solvers/ |
| RiddersSolver.java | 23 import org.apache.commons.math.util.FastMath;
198 if (FastMath.abs(y3) <= functionValueAccuracy) {
204 (x3 - x1) / FastMath.sqrt(delta);
209 final double tolerance = FastMath.max(relativeAccuracy * FastMath.abs(x), absoluteAccuracy);
210 if (FastMath.abs(x - oldx) <= tolerance) {
214 if (FastMath.abs(y) <= functionValueAccuracy) {
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/transform/ |
| FastCosineTransformer.java | 24 import org.apache.commons.math.util.FastMath;
103 double scaling_coefficient = FastMath.sqrt(2.0 / (f.length-1));
129 double scaling_coefficient = FastMath.sqrt(2.0 / (n-1));
242 final double b = FastMath.sin(i * FastMath.PI / n) * (f[i] - f[n-i]);
243 final double c = FastMath.cos(i * FastMath.PI / n) * (f[i] - f[n-i]);
|
| FastSineTransformer.java | 24 import org.apache.commons.math.util.FastMath;
103 double scaling_coefficient = FastMath.sqrt(2.0 / f.length);
128 double scaling_coefficient = FastMath.sqrt(2.0 / n);
234 final double a = FastMath.sin(i * FastMath.PI / n) * (f[i] + f[n-i]);
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/ode/ |
| MultistepIntegrator.java | 29 import org.apache.commons.math.util.FastMath;
133 setMaxGrowth(FastMath.pow(2.0, -exp));
172 setMaxGrowth(FastMath.pow(2.0, -exp));
296 return FastMath.min(maxGrowth, FastMath.max(minReduction, safety * FastMath.pow(error, exp)));
|
| ContinuousOutputModel.java | 29 import org.apache.commons.math.util.FastMath;
154 if (FastMath.abs(gap) > 1.0e-3 * FastMath.abs(step)) {
156 LocalizedFormats.HOLE_BETWEEN_MODELS_TIME_RANGES, FastMath.abs(gap));
302 if ((FastMath.abs(tMed - tMin) < 1e-6) || (FastMath.abs(tMax - tMed) < 1e-6)) {
319 index = (int) FastMath.rint(iLagrange);
323 final int low = FastMath.max(iMin + 1, (9 * iMin + iMax) / 10);
324 final int high = FastMath.min(iMax - 1, (iMin + 9 * iMax) / 10);
|
| AbstractIntegrator.java | 38 import org.apache.commons.math.util.FastMath;
371 if (FastMath.abs(t - t0) <= 1.0e-12 * FastMath.max(FastMath.abs(t0), FastMath.abs(t))) {
374 FastMath.abs(t - t0));
403 FastMath.ulp(FastMath.max(FastMath.abs(startTime), FastMath.abs(endTime)))
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/fitting/ |
| HarmonicCoefficientsGuesser.java | 22 import org.apache.commons.math.util.FastMath;
243 a = FastMath.sqrt(c1 / c2);
244 omega = FastMath.sqrt(c2 / c3);
268 double cosine = FastMath.cos(omegaX);
269 double sine = FastMath.sin(omegaX);
275 phi = FastMath.atan2(-fsMean, fcMean);
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/distribution/ |
| ZipfDistributionImpl.java | 24 import org.apache.commons.math.util.FastMath;
149 return (1.0 / FastMath.pow(x, exponent)) / generalizedHarmonic(numberOfElements, exponent);
210 value += 1.0 / FastMath.pow(k, m);
|
| BetaDistributionImpl.java | 24 import org.apache.commons.math.util.FastMath;
162 double logX = FastMath.log(x);
163 double log1mX = FastMath.log1p(-x);
164 return FastMath.exp((alpha - 1) * logX + (beta - 1) * log1mX - z);
|
| GammaDistributionImpl.java | 25 import org.apache.commons.math.util.FastMath;
206 return FastMath.pow(x / beta, alpha - 1) / beta * FastMath.exp(-x / beta) / FastMath.exp(Gamma.logGamma(alpha));
|
| HypergeometricDistributionImpl.java | 25 import org.apache.commons.math.util.FastMath;
148 return FastMath.max(0, m - (n - k));
187 return FastMath.min(k, m);
212 ret = FastMath.exp(p1 + p2 - p3);
229 return FastMath.exp(MathUtils.binomialCoefficientLog(m, x) +
370 return FastMath.max(0,
386 return FastMath.min(getNumberOfSuccesses(), getSampleSize());
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/linear/ |
| QRDecompositionImpl.java | 24 import org.apache.commons.math.util.FastMath;
77 rDiag = new double[FastMath.min(m, n)];
88 for (int minor = 0; minor < FastMath.min(m, n); minor++) {
104 final double a = (qrtMinor[minor] > 0) ? -FastMath.sqrt(xNormSqr) : FastMath.sqrt(xNormSqr);
159 for (int row = FastMath.min(m, n) - 1; row >= 0; row--) {
196 for (int minor = m - 1; minor >= FastMath.min(m, n); minor--) {
200 for (int minor = FastMath.min(m, n)-1; minor >= 0; minor--){
234 for (int j = 0; j < FastMath.min(i + 1, n); ++j) {
306 for (int minor = 0; minor < FastMath.min(m, n); minor++)
[all...] |
| ArrayRealVector.java | 26 import org.apache.commons.math.util.FastMath;
379 data[i] = FastMath.pow(data[i], d);
388 data[i] = FastMath.exp(data[i]);
397 data[i] = FastMath.expm1(data[i]);
406 data[i] = FastMath.log(data[i]);
415 data[i] = FastMath.log10(data[i]);
424 data[i] = FastMath.log1p(data[i]);
433 data[i] = FastMath.cosh(data[i]);
442 data[i] = FastMath.sinh(data[i]);
451 data[i] = FastMath.tanh(data[i])
[all...] |
| BiDiagonalTransformer.java | 20 import org.apache.commons.math.util.FastMath;
66 final int p = FastMath.min(m, n);
270 final double a = (hK[k] > 0) ? -FastMath.sqrt(xNormSqr) : FastMath.sqrt(xNormSqr);
295 final double b = (hK[k + 1] > 0) ? -FastMath.sqrt(xNormSqr) : FastMath.sqrt(xNormSqr);
334 final double a = (hK[k] > 0) ? -FastMath.sqrt(xNormSqr) : FastMath.sqrt(xNormSqr);
359 final double b = (hKp1[k] > 0) ? -FastMath.sqrt(xNormSqr) : FastMath.sqrt(xNormSqr)
[all...] |
| BlockRealMatrix.java | 26 import org.apache.commons.math.util.FastMath;
229 final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows);
233 final int qEnd = FastMath.min(qStart + BLOCK_SIZE, columns);
277 final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows);
281 final int qEnd = FastMath.min(qStart + BLOCK_SIZE, columns);
337 final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows);
339 final int qEnd = FastMath.min(qStart + BLOCK_SIZE, columns);
410 final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows);
412 final int qEnd = FastMath.min(qStart + BLOCK_SIZE, columns);
519 final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows)
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/ode/nonstiff/ |
| GillStepInterpolator.java | 22 import org.apache.commons.math.util.FastMath;
52 private static final double TWO_MINUS_SQRT_2 = 2 - FastMath.sqrt(2.0);
55 private static final double TWO_PLUS_SQRT_2 = 2 + FastMath.sqrt(2.0);
|
| EmbeddedRungeKuttaIntegrator.java | 26 import org.apache.commons.math.util.FastMath;
250 scale[i] = scalAbsoluteTolerance + scalRelativeTolerance * FastMath.abs(y[i]);
254 scale[i] = vecAbsoluteTolerance[i] + vecRelativeTolerance[i] * FastMath.abs(y[i]);
293 FastMath.min(maxGrowth,
294 FastMath.max(minReduction, safety * FastMath.pow(error, exp)));
318 FastMath.min(maxGrowth, FastMath.max(minReduction, safety * FastMath.pow(error, exp)));
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/moment/ |
| GeometricMean.java | 26 import org.apache.commons.math.util.FastMath;
110 return FastMath.exp(sumOfLogs.getResult() / sumOfLogs.getN());
143 return FastMath.exp(
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/analysis/integration/ |
| TrapezoidIntegrator.java | 24 import org.apache.commons.math.util.FastMath;
118 final double delta = FastMath.abs(t - oldt);
120 relativeAccuracy * (FastMath.abs(oldt) + FastMath.abs(t)) * 0.5;
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/random/ |
| RandomDataImpl.java | 45 import org.apache.commons.math.util.FastMath;
366 double p = FastMath.exp(-mean);
382 final double lambda = FastMath.floor(mean);
384 final double logLambda = FastMath.log(lambda);
387 final double delta = FastMath.sqrt(lambda * FastMath.log(32 * lambda / FastMath.PI + 1));
390 final double a1 = FastMath.sqrt(FastMath.PI * twolpd) * FastMath.exp(1 / 8 * lambda)
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/analysis/polynomials/ |
| PolynomialFunction.java | 26 import org.apache.commons.math.util.FastMath;
144 final int lowLength = FastMath.min(coefficients.length, p.coefficients.length);
145 final int highLength = FastMath.max(coefficients.length, p.coefficients.length);
170 int lowLength = FastMath.min(coefficients.length, p.coefficients.length);
171 int highLength = FastMath.max(coefficients.length, p.coefficients.length);
214 for (int j = FastMath.max(0, i + 1 - p.coefficients.length);
215 j < FastMath.min(coefficients.length, i + 1);
309 double absAi = FastMath.abs(coefficients[i]);
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/ode/sampling/ |
| StepNormalizer.java | 21 import org.apache.commons.math.util.FastMath;
76 this.h = FastMath.abs(h);
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/estimation/ |
| AbstractEstimator.java | 27 import org.apache.commons.math.util.FastMath;
132 double factor = -FastMath.sqrt(wm.getWeight());
164 residuals[i] = FastMath.sqrt(wm.getWeight()) * residual;
167 cost = FastMath.sqrt(cost);
189 return FastMath.sqrt(criterion / wm.length);
266 final double c = FastMath.sqrt(getChiSquare(problem) / (m - p));
269 errors[i] = FastMath.sqrt(covar[i][i]) * c;
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/general/ |
| AbstractLeastSquaresOptimizer.java | 35 import org.apache.commons.math.util.FastMath;
199 double wi = FastMath.sqrt(residualsWeights[i]);
230 wresiduals[i]= residual*FastMath.sqrt(residualsWeights[i]);
234 cost = FastMath.sqrt(cost);
249 return FastMath.sqrt(getChiSquare() / rows);
317 final double c = FastMath.sqrt(getChiSquare() / (rows - cols));
320 errors[i] = FastMath.sqrt(covar[i][i]) * c;
|
