Examples of Weight

Examples of org.apache.commons.math3.optim.nonlinear.vector.Weight

274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
        PointVectorValuePair optimum1 =
            optimizer.optimize(new MaxEval(100),
                               problem1.getModelFunction(),
                               problem1.getModelFunctionJacobian(),
                               problem1.getTarget(),
                               new Weight(new double[] { 1, 1, 1, 1 }),
                               new InitialGuess(new double[] { 0, 1, 2, 3 }));
        Assert.assertEquals(0, optimizer.getRMS(), 1e-10);
        Assert.assertEquals(1, optimum1.getPoint()[0], 1e-10);
        Assert.assertEquals(1, optimum1.getPoint()[1], 1e-10);
        Assert.assertEquals(1, optimum1.getPoint()[2], 1e-10);
        Assert.assertEquals(1, optimum1.getPoint()[3], 1e-10);

        LinearProblem problem2 = new LinearProblem(new double[][] {
                { 10.00, 7.00, 8.10, 7.20 },
                {  7.08, 5.04, 6.00, 5.00 },
                {  8.00, 5.98, 9.89, 9.00 },
                {  6.99, 4.99, 9.00, 9.98 }
        }, new double[] { 32, 23, 33, 31 });
        PointVectorValuePair optimum2 =
            optimizer.optimize(new MaxEval(100),
                               problem2.getModelFunction(),
                               problem2.getModelFunctionJacobian(),
                               problem2.getTarget(),
                               new Weight(new double[] { 1, 1, 1, 1 }),
                               new InitialGuess(new double[] { 0, 1, 2, 3 }));
        Assert.assertEquals(0, optimizer.getRMS(), 1e-10);
        Assert.assertEquals(-81, optimum2.getPoint()[0], 1e-8);
        Assert.assertEquals(137, optimum2.getPoint()[1], 1e-8);
        Assert.assertEquals(-34, optimum2.getPoint()[2], 1e-8);
View Full Code Here

Examples of org.apache.commons.math3.optim.nonlinear.vector.Weight

316
317
318
319
320
321
322
323
324
        AbstractLeastSquaresOptimizer optimizer = createOptimizer();
        optimizer.optimize(new MaxEval(100),
                           problem.getModelFunction(),
                           problem.getModelFunctionJacobian(),
                           problem.getTarget(),
                           new Weight(new double[] { 1, 1, 1 }),
                           new InitialGuess(new double[] { 7, 6, 5, 4 }));
        Assert.assertEquals(0, optimizer.getRMS(), 1e-10);
    }
View Full Code Here

Examples of org.apache.commons.math3.optim.nonlinear.vector.Weight

124
125
126
127
128
129
130
131
132
133
134
            final PointVectorValuePair optimum
                = optim.optimize(new MaxEval(Integer.MAX_VALUE),
                                 problem.getModelFunction(),
                                 problem.getModelFunctionJacobian(),
                                 new Target(problem.target()),
                                 new Weight(problem.weight()),
                                 new InitialGuess(init));
            final double[] sigma = optim.computeSigma(optimum.getPoint(), 1e-14);

            // Accumulate statistics.
            for (int i = 0; i < numParams; i++) {
View Full Code Here

Examples of org.apache.commons.math3.optim.nonlinear.vector.Weight

302
303
304
305
306
307
308
309
310
311
        optim.optimize(new MaxEval(Integer.MAX_VALUE),
                       problem.getModelFunction(),
                       problem.getModelFunctionJacobian(),
                       new Target(t),
                       new Weight(w),
                       new InitialGuess(params));

        return optim.getChiSquare() / (t.length - params.length);
    }
View Full Code Here

Examples of org.apache.commons.math3.optim.nonlinear.vector.Weight

112
113
114
115
116
117
118
119
120
121
    @Test(expected=MathUnsupportedOperationException.class)
    public void testConstraintsUnsupported() {
        createOptimizer().optimize(new MaxEval(100),
                                   new Target(new double[] { 2 }),
                                   new Weight(new double[] { 1 }),
                                   new InitialGuess(new double[] { 1, 2 }),
                                   new SimpleBounds(new double[] { -10, 0 },
                                                    new double[] { 20, 30 }));
    }
View Full Code Here

Examples of org.apache.commons.math3.optim.nonlinear.vector.Weight

137
138
139
140
141
142
143
144
145
146
147
        PointVectorValuePair optimum
            = optimizer.optimize(new MaxEval(100),
                                 problem.getModelFunction(),
                                 problem.getModelFunctionJacobian(),
                                 problem.getTarget(),
                                 new Weight(new double[] { 1, 1, 1 }),
                                 new InitialGuess(new double[] { 0, 0, 0 }));
        Assert.assertTrue(FastMath.sqrt(optimizer.getTargetSize()) * optimizer.getRMS() > 0.6);

        optimizer.computeCovariances(optimum.getPoint(), 1.5e-14);
    }
View Full Code Here

Examples of org.apache.commons.math3.optim.nonlinear.vector.Weight

183
184
185
186
187
188
189
190
191
192
193
                                                  Precision.SAFE_MIN);
            optimizer.optimize(new MaxEval(maxCostEval),
                               problem,
                               problemJacobian,
                               new Target(new double[] { 0, 0, 0, 0, 0 }),
                               new Weight(new double[] { 1, 1, 1, 1, 1 }),
                               new InitialGuess(new double[] { 98.680, 47.345 }));
            Assert.assertTrue(!shouldFail);
        } catch (DimensionMismatchException ee) {
            Assert.assertTrue(shouldFail);
        } catch (TooManyEvaluationsException ee) {
View Full Code Here

Examples of org.apache.commons.math3.optim.nonlinear.vector.Weight

238
239
240
241
242
243
244
245
246
247
248
        final PointVectorValuePair optimum
            = optimizer.optimize(new MaxEval(100),
                                 problem.getModelFunction(),
                                 problem.getModelFunctionJacobian(),
                                 new Target(dataPoints[1]),
                                 new Weight(weights),
                                 new InitialGuess(new double[] { 10, 900, 80, 27, 225 }));

        final double[] solution = optimum.getPoint();
        final double[] expectedSolution = { 10.4, 958.3, 131.4, 33.9, 205.0 };
View Full Code Here

Examples of org.apache.commons.math3.optimization.Weight

422
423
424
425
426
427
428
429
                                         final double[] target, final double[] weights,
                                         final double[] startPoint) {
        return optimizeInternal(maxEval,
                                FunctionUtils.toMultivariateDifferentiableVectorFunction(f),
                                new Target(target),
                                new Weight(weights),
                                new InitialGuess(startPoint));
    }
View Full Code Here

Examples of org.apache.commons.math3.optimization.Weight

458
459
460
461
462
463
464
465
                                         final MultivariateDifferentiableVectorFunction f,
                                         final double[] target, final double[] weights,
                                         final double[] startPoint) {
        return optimizeInternal(maxEval, f,
                                new Target(target),
                                new Weight(weights),
                                new InitialGuess(startPoint));
    }
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. 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.