fminbnd

Bounded scalar minimization.

📝Syntax

x = fminbnd(fun, x1, x2)
[x, fval, exitflag, output] = fminbnd(fun, x1, x2, options)
x = fminbnd(problem)

📥Input Arguments

Parameter	Description
fun	scalar objective function.
x1, x2	finite interval endpoints.
options	solver options.

📤Output Arguments

Parameter	Description
x	estimated minimizer in the interval.
fval	objective value.
exitflag	termination indicator.
output	diagnostics.

📄Description

fminbnd applies Brent's bounded minimization method, combining golden-section steps with parabolic interpolation. A problem structure can contain objective, x1, x2 and options fields.

💡Examples

[x, fval] = fminbnd(@(x) (x - 1.5)^2, -2, 4)

🔗See Also

fminsearch fzero

Used Functions

optimset

📚Bibliography

R. P. Brent, Algorithms for Minimization Without Derivatives, Prentice-Hall, 1973.

🕔Version History

Version	Description
2.0.0	initial version

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