Package org.apache.commons.math3.analysis

Examples of org.apache.commons.math3.analysis.MultivariateVectorFunction

109
110
111
112
113
114
115
116
117
118
119
    public void testGetIterations() {
        AbstractLeastSquaresOptimizer optim = createOptimizer();
        optim.optimize(new MaxEval(100), new Target(new double[] { 1 }),
                       new Weight(new double[] { 1 }),
                       new InitialGuess(new double[] { 3 }),
                       new ModelFunction(new MultivariateVectorFunction() {
                               public double[] value(double[] point) {
                                   return new double[] {
                                       FastMath.pow(point[0], 4)
                                   };
                               }
View Full Code Here
176
177
178
179
180
181
182
183
184
185
186
        final RealMatrix factors
            = new Array2DRowRealMatrix(new double[][] {
                    { 1, 0 },
                    { 0, 1 }
                }, false);
        LeastSquaresConverter ls = new LeastSquaresConverter(new MultivariateVectorFunction() {
                public double[] value(double[] variables) {
                    return factors.operate(variables);
                }
            }, new double[] { 2.0, -3.0 });
        SimplexOptimizer optimizer = new SimplexOptimizer(-1, 1e-6);
View Full Code Here
202
203
204
205
206
207
208
209
210
211
212
        final RealMatrix factors
            = new Array2DRowRealMatrix(new double[][] {
                    { 1, 0 },
                    { 0, 1 }
                }, false);
        LeastSquaresConverter ls = new LeastSquaresConverter(new MultivariateVectorFunction() {
                public double[] value(double[] variables) {
                    return factors.operate(variables);
                }
            }, new double[] { 2, -3 }, new double[] { 10, 0.1 });
        SimplexOptimizer optimizer = new SimplexOptimizer(-1, 1e-6);
View Full Code Here
228
229
230
231
232
233
234
235
236
237
238
        final RealMatrix factors =
            new Array2DRowRealMatrix(new double[][] {
                    { 1, 0 },
                    { 0, 1 }
                }, false);
        LeastSquaresConverter ls = new LeastSquaresConverter(new MultivariateVectorFunction() {
                public double[] value(double[] variables) {
                    return factors.operate(variables);
                }
            }, new double[] { 2, -3 }, new Array2DRowRealMatrix(new double [][] {
                    { 1, 1.2 }, { 1.2, 2 }
View Full Code Here
621
622
623
624
625
626
627
628
629
630
631
        public Target getTarget() {
            return new Target(target);
        }

        public ModelFunction getModelFunction() {
            return new ModelFunction(new MultivariateVectorFunction() {
                    public double[] value(double[] params) {
                        return factors.operate(params);
                    }
                });
        }
View Full Code Here
200
201
202
203
204
205
206
207
208
209
210
            = new MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);
        optimizer.optimize(new MaxEval(100),
                           new Target(new double[] { 0 }),
                           new Weight(new double[] { 1 }),
                           new InitialGuess(new double[] { 0 }),
                           new ModelFunction(new MultivariateVectorFunction() {
                                   public double[] value(double[] point) {
                                       throw new TestException();
                                   }
                               }));
    }
View Full Code Here
226
227
228
229
230
231
232
233
234
235
236
        public Target getTarget() {
            return new Target(target);
        }

        public ModelFunction getModelFunction() {
            return new ModelFunction(new MultivariateVectorFunction() {
                    public double[] value(double[] variables) {
                        return factors.operate(variables);
                    }
                });
        }
View Full Code Here
448
449
450
451
452
453
454
455
456
457
458
                    }
                });
        }

        public ObjectiveFunctionGradient getObjectiveFunctionGradient() {
            return new ObjectiveFunctionGradient(new MultivariateVectorFunction() {
                    public double[] value(double[] point) {
                        double[] r = factors.operate(point);
                        for (int i = 0; i < r.length; ++i) {
                            r[i] -= target[i];
                        }
View Full Code Here
194
195
196
197
198
199
200
201
202
203
204
        /**
         * @return the model function values.
         */
        public ModelFunction getModelFunction() {
            return new ModelFunction(new MultivariateVectorFunction() {
                    /** {@inheritDoc} */
                    public double[] value(double[] point) {
                        // compute the residuals
                        final double[] values = new double[observations.size()];
                        int i = 0;
View Full Code Here
101
102
103
104
105
106
107
108
109
110
111
        return w;
    }

    public ModelFunction getModelFunction() {
        return new ModelFunction(new MultivariateVectorFunction() {
                public double[] value(double[] params) {
                    final double cx = params[0];
                    final double cy = params[1];
                    final double r = params[2];
View Full Code Here
TOP

Related Classes of org.apache.commons.math3.analysis.MultivariateVectorFunction

  • org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  • org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction
  • org.apache.commons.math3.analysis.function.HarmonicOscillator
  • org.apache.commons.math3.analysis.function.Sin
  • org.apache.commons.math3.analysis.function.Sinc
  • org.apache.commons.math3.analysis.MultivariateFunction
  • org.apache.commons.math3.analysis.QuinticFunction
  • org.apache.commons.math3.analysis.solvers.BrentSolver
  • org.apache.commons.math3.analysis.UnivariateFunction
  • org.apache.commons.math3.complex.Complex
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.