PURPOSE
isempty(s) : true for empty iFunc object
SYNOPSIS
function y = isempty(s)
DESCRIPTION
CROSS-REFERENCE INFORMATION
This function calls:
- isempty isempty(s) : true for empty iFunc object
- zeros s = zeros(s,N,M,P,...) : initialize an iFunc array
This function is called by:
- cellstr ret = cellstr(s) : convert iFunc into a cell of strings
- disp disp(s) : display iFunc object (details)
- display d = display(s) : display iFunc object (from command line)
- doc doc(iFunc): iFunc web page documentation
- feval [signal, model, axes, name] = feval(model, parameters, x,y, ...) evaluate a function
- findfield [match, types, nelements]=findfield(iFunc, field, option) : look for iData fields
- fits [pars,criteria,message,output] = fits(model, data, pars, options, constraints, ...) : fit a model on a data set
- fix b = fix(s, parameters, ...) : sets parameter lock (fix) for further fit using the model 's'
- fmax [Maxmimum,FVAL,EXITFLAG,OUTPUT] = fmax(FUN,PARS,[OPTIONS],[X,Y,...]) Best maximizer
- fmin [MINIMUM,FVAL,EXITFLAG,OUTPUT] = FMIN(FUN,PARS,[OPTIONS],[X,Y,...]) Best optimizer
- get [...] = get(s, 'PropertyName', ...) : get iFunc object properties
- iFunc model = iFunc(...): create a fit model function
- isempty isempty(s) : true for empty iFunc object
- load d = load(s, file): iFunc Model loader
- mlock b = mlock(s, parameters, ...) : sets parameter lock (fix) for further fit using the model 's'
- munlock b = munlock(s, parameters, ...) : free parameter lock (clear) for further fit using the model 's'
- plot h = plot(model, parameters, axes, ...) plot a model
- publish b = publish(s) : export the Model object as an HTML document.
- saveas f = saveas(s, filename, format, options) : save iFunc object into various data formats
- set [s,...] = set(s, 'PropertyName', Propertyvalue, ...) : set iFunc properties
- subplot h = subplot(s) : plot iFunc array as subplots
- subsasgn b = subsasgn(a,index,b) : iFunc indexed assignement
- subsref b = subsref(a,s) : iFunc indexed references
- xlim b = xlim(s, parameters, [min max], ...) : sets parameter bounds (min,max) for further fit using the model 's'
- zeros s = zeros(s,N,M,P,...) : initialize an iFunc array
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