Hi, while working on MATH-699 (which was triggered by MATH-692), I found some inconsistencies in the use of UnivariateRealSolver.getAbsoluteAccuracy() and UnivariateRealSolver.getFunctionValueAccuracy() (see the JIRA ticket for more details). In short, the current implementation of AbstractContinuousDistribution allows customization of the default solver (for inverting the CDF) via AbstractContinuousDistribution.getSolverAbsoluteAccuracy(). To be completely consistent, we would also need to provide a new method AbstractContinuousDistribution.getSolverFunctionValueAccuracy(). Instead, I suggest we open the possibility to provide a custom solver to AbstractContinuousDistribution (with all three tolerances set by the user), as well as a getSolver() method. What do you think of this change?
Sébastien --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org For additional commands, e-mail: dev-h...@commons.apache.org
