FittingOptions 0 0 440 538 Dialog :/res/ball.ico:/res/ball.ico Fit Algorithms 0 0 QComboBox::AdjustToContents QFrame::NoFrame 0 0 0 DREAM Samples: <html><head/><body>Number of points to be drawn from the Markov chain.</body></html> Burn-in Steps: <html><head/><body>The number of iterations to required for the Markov chain to converge to the equilibrium distribution.</body></html> Population: <html><head/><body>The size of the population.</body></html> Initializer: <html><head/><body>Initializer determines how the population will be initialized. The options are as follows:eps (epsilon ball), in which the entire initial population is chosen at random from within a tiny hypersphere centered about the initial pointlhs (latin hypersquare), which chops the bounds within each dimension in k equal sized chunks where k is the size of the population and makes sure that each parameter has at least one value within each chunk across the population.cov (covariance matrix), in which the uncertainty is estimated using the covariance matrix at the initial point, and points are selected at random from the corresponding gaussian ellipsoidrandom (uniform random), in which the points are selected at random within the bounds of the parameters</body></html> eps lhs cov random Thinning: <html><head/><body>The amount of thinning to use when collecting the population.</body></html> Steps: <html><head/><body>Determines the number of iterations to use for drawing samples after burn in.</body></html> Qt::Vertical 20 268 Levenberg Steps: <html><head/><body>The number of gradient steps to take.</body></html> f(x) tolerance: <html><head/><body>Used to determine when the fit has reached the point where no significant improvement is expected.</body></html> x tolerance: <html><head/><body>Used to determine when the fit has reached the point where no significant improvement is expected.</body></html> Qt::Vertical 20 434 Quasi-Newton BFGS Steps: <html><head/><body>The number of gradient steps to take.</body></html> Starts: <html><head/><body>Value thattells the optimizer to restart a given number of times. Each time it restarts it uses a random starting point.</body></html> f(x) tolerance: <html><head/><body>Used to determine when the fit has reached the point where no significant improvement is expected.</body></html> x tolerance: <html><head/><body>Used to determine when the fit has reached the point where no significant improvement is expected.</body></html> Qt::Vertical 20 68 Differential Evolution Steps: <html><head/><body>The number of iterations.</body></html> Population: Crossover ratio: <html><head/><body>The size of the population.</body></html> Scale: <html><head/><body>Determines how much to scale each difference vector before adding it to the candidate point.</body></html> f(x) tolerance: <html><head/><body>Used to determine when the fit has reached the point where no significant improvement is expected.</body></html> x tolerance: <html><head/><body>Used to determine when the fit has reached the point where no significant improvement is expected.</body></html> Qt::Vertical 20 356 Nelder-Mead Simplex Steps: <html><head/><body>The number of simplex update iterations to perform.</body></html> Starts: <html><head/><body>Tells the optimizer to restart a given number of times. Each time it restarts it uses a random starting point.</body></html> Simplex radius: <html><head/><body>The initial size of the simplex, as a portion of the bounds defining the parameter space.</body></html> f(x) tolerance: <html><head/><body>Used to determine when the fit has reached the point where no significant improvement is expected. </body></html> x tolerance: <html><head/><body>Used to determine when the fit has reached the point where no significant improvement is expected. </body></html> Qt::Vertical 20 382 Qt::Horizontal QDialogButtonBox::Cancel|QDialogButtonBox::Help|QDialogButtonBox::Ok buttonBox rejected() FittingOptions reject() 316 260 286 274