[Maxmimum,FVAL,EXITFLAG,OUTPUT] = fmax(FUN,PARS,[OPTIONS],[X,Y,...]) Best maximizer This maximization method is determined automatically from the objective function behaviour and number of free parameters. You can however force a specific optimizer by setting e.g. options.optimizer='fminpso' WARNING: as the selected optimizer may change from one call to an other, the solution found may vary as well. To avoid that, rather use a specific optimizer. Syntax: fmax(model) maximise the model, using current model or guessed parameters. Return best parameters fmax(model, pars) maximise the model, starting with given parameters and return best parameter set when pars is given as , current/guessed parameters are used fmax(model, pars, 'optimizer') maximise the model, as above, using given optimizer with its default configuration for instance: fmax(model, , 'fminpso') fmax(model, pars, options) maximise the model, as above, using given optimizer configuration for instance: fmax(model, , 'optimizer=fminpso; OutputFcn=fminplot; Display=iter') WARNING: as the selected optimizer may change from one call to an other, the solution found may vary as well. To avoid that, rather use a specific optimizer. Best optimizers are: fminpso: Particle Swarm Optimization fminpowell: Powell with Coggins line search fminhooke: Hooke-Jeeves direct search fminralg: Shor R-algorithm fminsimpsa: Simplex/simulated annealing fminimfil: Unconstrained Implicit filtering Type <a href="matlab:doc(iData,'Optimizers')">doc(iData,'Optimizers')</a> to access the Optimizers Documentation. Calling: fmax(fun, pars) asks to maximize the 'fun' iFunc model with starting parameters 'pars' (vector) fmax(fun, pars, 'optimizer') use optimizer with its default options fmax(fun, pars, options) same as above, with customized options (optimset) fmax(fun, pars, options, x,y,...) same as above, with specific axes The options structure may contain the following members, in agreement with 'optimset': options.Display: Level of display [ off | iter | notify | final ]. Default is 'off' options.MaxFunEvals: Maximum number of function evaluations allowed, sometimes referred as the 'cost' or 'budget'. options.MaxIter: Maximum number of iterations allowed options.TolFun: Termination tolerance on the function value (absolute value or change). Use 'x%' to specify a relative function change. options.TolX: Termination tolerance on parameter change. Use 'x%' to specify a relative parameter change. options.OutputFcn: Name of an output function. When set, it is called at each iteration step. You may use 'fminplot', which is provided in Optimizers. Refer to the Fit page for more information about fminplot. A simpler/faster alternative is the 'fminstop' option. options.PlotFcns: same as OutputFcn, but can be a set of function in a cell array. options.FunValCheck: Check for invalid values, such as NaN or complex options.MinFunEvals: when set, waits for a given number of iterations before testing for convergence options.optimizer: the optimizer to use Input: FUN is the iFunc model to maximize (handle or string) PARS is a vector with initial guess parameters. You must input an initial guess. PARS can also be given as a single-level structure. OPTIONS is a structure with settings for the optimizer, compliant with optimset. Default options may be obtained with o=fmax('defaults') options.MinFunEvals sets the minimum number of function evaluations to reach An empty OPTIONS sets the default configuration. X,Y,...: additional axes to use. Output: MAXIMUM is the solution which generated the smallest encountered value when input into FUN. FVAL is the value of the FUN function evaluated at MAXIMUM. EXITFLAG return state of the optimizer OUTPUT additional information returned as a structure. Example: model= gauss1; fix(model, 'all'); model.Intensity='free'; model.Intensity=1; model.HalfWidth=.5; xlim(model, 'Intensity',[-2 2]) fmax(model) Version: oct.. 23, 2018 See also: fminsearch, optimset, iFunc/fmin (c) E.Farhi, ILL. License: EUPL.