Parameter Name
|
Description
|
L, M, B
|
Used by Functions
|
DerivativeCheck
|
Compare user-supplied analytic derivatives (gradients or Jacobian) to finite differencing derivatives.
|
M
|
fgoalattain, fmincon, fminimax, fminunc, fseminf, fsolve, lsqcurvefit, lsqnonlin
|
Diagnostics
|
Print diagnostic information about the function to be minimized or solved.
|
B
|
All but fminbnd, fminsearch, fzero, and lsqnonneg
|
DiffMaxChange
|
Maximum change in variables for finite difference derivatives.
|
M
|
fgoalattain, fmincon, fminimax, fminunc, fseminf, fsolve, lsqcurvefit, lsqnonlin
|
DiffMinChange
|
Minimum change in variables for finite difference derivatives.
|
M
|
fgoalattain, fmincon, fminimax, fminunc, fseminf, fsolve, lsqcurvefit, lsqnonlin
|
Display
|
Level of display. 'off' displays no output; 'iter' displays output at each iteration; 'final' displays just the final output; 'notify' displays output only if function does not converge.
|
B
|
All. See the individual function reference pages for the values that apply.
|
GoalsExactAchieve
|
Number of goals to achieve exactly (do not over- or underachieve).
|
M
|
fgoalattain
|
GradConstr
|
Gradients for the nonlinear constraints defined by the user.
|
M
|
fgoalattain, fmincon, fminimax
|
GradObj
|
Gradient(s) for the objective function(s) defined by the user.
|
B
|
fgoalattain, fmincon, fminimax, fminunc, fseminf
|
Hessian
|
If 'on', function uses user-defined Hessian, or Hessian information (when using HessMult), for the objective function. If 'off', function approximates the Hessian using finite differences.
|
L
|
fmincon, fminunc
|
HessMult
|
Hessian multiply function defined by the user.
|
L
|
fmincon, fminunc, quadprog
|
HessPattern
|
Sparsity pattern of the Hessian for finite differencing. The size of the matrix is n-by-n, where n is the number of elements in x0, the starting point.
|
L
|
fmincon, fminunc
|
HessUpdate
|
Quasi-Newton updating scheme.
|
M
|
fminunc
|
Jacobian
|
If 'on', function uses user-defined Jacobian, or Jacobian information (when using JacobMult), for the objective function. If 'off', function approximates the Jacobian using finite differences.
|
B
|
fsolve, lsqcurvefit, lsqnonlin
|
JacobMult
|
Jacobian multiply function defined by the user.
|
L
|
fsolve, lsqcurvefit, lsqlin, lsqnonlin
|
JacobPattern
|
Sparsity pattern of the Jacobian for finite differencing. The size of the matrix is m-by-n, where m is the number of values in the first argument returned by the user-specified function fun, and n is the number of elements in x0, the starting point.
|
L
|
fsolve, lsqcurvefit, lsqnonlin
|
LargeScale
|
Use large-scale algorithm if possible.
|
B
|
fmincon, fminunc, fsolve, linprog, lsqcurvefit, lsqlin, lsqnonlin, quadprog
|
LevenbergMarquardt
|
Chooses Levenberg-Marquardt over Gauss-Newton algorithm.
|
M
|
lsqcurvefit, lsqnonlin
|
LineSearchType
|
Line search algorithm choice.
|
M
|
fminunc, fsolve, lsqcurvefit, lsqnonlin
|
MaxFunEvals
|
Maximum number of function evaluations allowed.
|
B
|
fgoalattain, fminbnd, fmincon, fminimax, fminsearch, fminunc, fseminf, fsolve, lsqcurvefit, lsqnonlin
|
MaxIter
|
Maximum number of iterations allowed.
|
B
|
All but fzero and lsqnonneg
|
MaxPCGIter
|
Maximum number of PCG iterations allowed.
|
L
|
fmincon, fminunc, fsolve, lsqcurvefit, lsqlin, lsqnonlin, quadprog
|
MeritFunction
|
Use goal attainment/minimax merit function (multiobjective) vs. fmincon (single objective).
|
M
|
fgoalattain, fminimax
|
MinAbsMax
|
Number of F(x) to minimize the worst case absolute values
|
M
|
fminimax
|
NonlEqnAlgorithm
|
Choose Levenberg-Marquardt or Gauss-Newton over the trust-region dogleg algorithm.
|
M
|
fsolve
|
PrecondBandWidth
|
Upper bandwidth of preconditioner for PCG.
|
L
|
fmincon, fminunc, fsolve, lsqcurvefit, lsqlin, lsqnonlin, quadprog
|
TolCon
|
Termination tolerance on the constraint violation.
|
B
|
fgoalattain, fmincon, fminimax, fseminf
|
TolFun
|
Termination tolerance on the function value.
|
B
|
fgoalattain, fmincon, fminimax, fminsearch, fminunc, fseminf, fsolve, linprog (large-scale only), lsqcurvefit, lsqlin (large-scale only), lsqnonlin, quadprog (large-scale only)
|
TolPCG
|
Termination tolerance on the PCG iteration.
|
L
|
fmincon, fminunc, fsolve, lsqcurvefit, lsqlin, lsqnonlin, quadprog
|
TolX
|
Termination tolerance on x.
|
B
|
All functions except the medium-scale algorithms for linprog, lsqlin, and quadprog
|
TypicalX
|
Typical x values. The length of the vector is equal to the number of elements in x0, the starting point.
|
L
|
fmincon, fminunc, fsolve, lsqcurvefit, lsqlin, lsqnonlin, quadprog
|
