GaussianFitter Unexpectedly Throws NotStrictlyPositiveException ---------------------------------------------------------------
Key: MATH-519 URL: https://issues.apache.org/jira/browse/MATH-519 Project: Commons Math Issue Type: Bug Affects Versions: 3.0 Reporter: Ole Ersoy Fix For: 3.0 Running the following: double[] observations = { 1.1143831578403364E-29, 4.95281403484594E-28, 1.1171347211930288E-26, 1.7044813962636277E-25, 1.9784716574832164E-24, 1.8630236407866774E-23, 1.4820532905097742E-22, 1.0241963854632831E-21, 6.275077366673128E-21, 3.461808994532493E-20, 1.7407124684715706E-19, 8.056687953553974E-19, 3.460193945992071E-18, 1.3883326374011525E-17, 5.233894983671116E-17, 1.8630791465263745E-16, 6.288759227922111E-16, 2.0204433920597856E-15, 6.198768938576155E-15, 1.821419346860626E-14, 5.139176445538471E-14, 1.3956427429045787E-13, 3.655705706448139E-13, 9.253753324779779E-13, 2.267636001476696E-12, 5.3880460095836855E-12, 1.2431632654852931E-11 }; GaussianFitter g = new GaussianFitter(new LevenbergMarquardtOptimizer()); for (int index = 0; index < 27; index++) { g.addObservedPoint(index, observations[index]); } g.fit(); Results in: org.apache.commons.math.exception.NotStrictlyPositiveException: -1.277 is smaller than, or equal to, the minimum (0) at org.apache.commons.math.analysis.function.Gaussian$Parametric.validateParameters(Gaussian.java:184) at org.apache.commons.math.analysis.function.Gaussian$Parametric.value(Gaussian.java:129) I'm guessing the initial guess for sigma is off. -- This message is automatically generated by JIRA. - For more information on JIRA, see: http://www.atlassian.com/software/jira