local_min, an Octave code which finds a local minimizer of a scalar function of a scalar variable, by Richard Brent.
The method does not require the use of derivatives, and does not assume that the function is differentiable.
The computer code and data files described and made available on this web page are distributed under the MIT license
local_min is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version and an Octave version and a Python version.
asa047, an Octave code which minimizes a scalar function of several variables using the Nelder-Mead algorithm.
compass_search, an Octave code which seeks the minimizer of a scalar function of several variables using compass search, a direct search algorithm that does not use derivatives.
local_min_rc, an Octave code which finds a local minimum of a scalar function of a scalar variable, without the use of derivative information, by Richard Brent.
nelder_mead, an Octave code which minimizes a scalar function of several variables using the Nelder-Mead algorithm.
praxis, an Octave code which minimizes a scalar function of several variables, without requiring derivative information, by Richard Brent.
test_min, an Octave code which implements test problems for minimization of a scalar function of a scalar variable.
toms178, an Octave code which optimizes a scalar functional of multiple variables using the Hooke-Jeeves method.
Original FORTRAN77 version by Richard Brent; Octave version by John Burkardt.