Package org.apache.commons.math.ode.sampling

Examples of org.apache.commons.math.ode.sampling.NordsieckStepInterpolator.storeTime()

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                    // discrete events handling
                    interpolatorTmp.reinitialize(stepEnd, stepSize, predictedScaled, nordsieckTmp);
                    interpolatorTmp.storeTime(stepStart);
                    interpolatorTmp.shift();
                    interpolatorTmp.storeTime(stepEnd);
                    if (manager.evaluateStep(interpolatorTmp)) {
                        final double dt = manager.getEventTime() - stepStart;
                        if (Math.abs(dt) <= Math.ulp(stepStart)) {
                            // rejecting the step would lead to a too small next step, we accept it
                            loop = false;
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                    final Array2DRowRealMatrix nordsieckTmp = updateHighOrderDerivativesPhase1(nordsieck);
                    updateHighOrderDerivativesPhase2(scaled, predictedScaled, nordsieckTmp);

                    // discrete events handling
                    interpolatorTmp.reinitialize(stepEnd, stepSize, predictedScaled, nordsieckTmp);
                    interpolatorTmp.storeTime(stepStart);
                    interpolatorTmp.shift();
                    interpolatorTmp.storeTime(stepEnd);
                    if (manager.evaluateStep(interpolatorTmp)) {
                        final double dt = manager.getEventTime() - stepStart;
                        if (Math.abs(dt) <= Math.ulp(stepStart)) {
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                    // discrete events handling
                    interpolatorTmp.reinitialize(stepEnd, stepSize, predictedScaled, nordsieckTmp);
                    interpolatorTmp.storeTime(stepStart);
                    interpolatorTmp.shift();
                    interpolatorTmp.storeTime(stepEnd);
                    if (manager.evaluateStep(interpolatorTmp)) {
                        final double dt = manager.getEventTime() - stepStart;
                        if (Math.abs(dt) <= Math.ulp(stepStart)) {
                            // we cannot simply truncate the step, reject the current computation
                            // and let the loop compute another state with the truncated step.
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                    }
                    updateHighOrderDerivativesPhase2(predictedScaled, correctedScaled, nordsieckTmp);

                    // discrete events handling
                    interpolatorTmp.reinitialize(stepEnd, stepSize, correctedScaled, nordsieckTmp);
                    interpolatorTmp.storeTime(stepStart);
                    interpolatorTmp.shift();
                    interpolatorTmp.storeTime(stepEnd);
                    if (manager.evaluateStep(interpolatorTmp)) {
                        final double dt = manager.getEventTime() - stepStart;
                        if (Math.abs(dt) <= Math.ulp(stepStart)) {
View Full Code Here
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                    // discrete events handling
                    interpolatorTmp.reinitialize(stepEnd, stepSize, correctedScaled, nordsieckTmp);
                    interpolatorTmp.storeTime(stepStart);
                    interpolatorTmp.shift();
                    interpolatorTmp.storeTime(stepEnd);
                    if (manager.evaluateStep(interpolatorTmp)) {
                        final double dt = manager.getEventTime() - stepStart;
                        if (Math.abs(dt) <= Math.ulp(stepStart)) {
                            // we cannot simply truncate the step, reject the current computation
                            // and let the loop compute another state with the truncated step.
View Full Code Here
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