The discussion centers on an error encountered in MATLAB related to the use of the 'optimset' function. The user attempted to set options with 'medium-scale', which is not a valid parameter, as only 'LargeScale' is recognized. The correct usage is demonstrated with 'optimset('LargeScale','on')', which successfully returns a structure of optimization settings. This highlights the importance of using valid parameters in MATLAB's optimization functions.
PREREQUISITESMATLAB users, data scientists, and engineers involved in optimization tasks who need to troubleshoot and effectively utilize MATLAB's optimization functions.
>> optimset('LargeScale','on')
ans =
Display: []
MaxFunEvals: []
MaxIter: []
TolFun: []
TolX: []
FunValCheck: []
OutputFcn: []
ActiveConstrTol: []
NoStopIfFlatInfeas: []
BranchStrategy: []
DerivativeCheck: []
Diagnostics: []
DiffMaxChange: []
DiffMinChange: []
GoalsExactAchieve: []
GradConstr: []
GradObj: []
Hessian: []
HessMult: []
HessPattern: []
HessUpdate: []
InitialHessType: []
InitialHessMatrix: []
Jacobian: []
JacobMult: []
JacobPattern: []
LargeScale: 'on'
LevenbergMarquardt: []
LineSearchType: []
MaxNodes: []
MaxPCGIter: []
MaxRLPIter: []
MaxSQPIter: []
MaxTime: []
MeritFunction: []
MinAbsMax: []
NodeDisplayInterval: []
NodeSearchStrategy: []
NonlEqnAlgorithm: []
PhaseOneTotalScaling: []
Preconditioner: []
PrecondBandWidth: []
RelLineSrchBnd: []
RelLineSrchBndDuration: []
ShowStatusWindow: []
Simplex: []
TolCon: []
TolPCG: []
TolRLPFun: []
TolXInteger: []
TypicalX: []