golden_section, a Python code which estimates a minimizer of a function f(x) over the interval [a,b], assuming f(x) is unimodular ("U-shaped") over [a,b].
The program returns an estimate for a critical point x, which might be a minimum, maximum or just an inflection point. It also returns the number of iterations.The information on this web page is distributed under the MIT license.
golden_section is available in a MATLAB version and an Octave version and a Python version and an R version.
glomin, a Python code which finds a global minimum of a scalar function of a scalar argument, without the use of derivative information, by Richard Brent.
local_min, a Python code which finds a local minimum of a scalar function of a scalar variable, without the use of derivative information, by Richard Brent.
local_min_rc, a Python code which finds a local minimum of a scalar function of a scalar variable, without the use of derivative information, using reverse communication (RC), by Richard Brent.
test_min, a Python code which implements test problems for minimization of a scalar function of a scalar variable.
test_uni, a Python code which defines a number of unimodal functions, each one a scalar valued function of a scalar argument. Over a specified interval [a,b], each function decreases to a minimum value and then increases. These functions are designed to test the efficiency of algorithms for locating the minimizing argument, such as bisection, golden search, or Brent's method.