LOCAL_MIN_RC is a Python library which seeks a local minimum of a scalar function of a scalar variable, without requiring derivatives, or assuming the function is differentiable, using reverse communication (RC), by Richard Brent.
The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.
LOCAL_MIN_RC is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version and a Python version.
BACKTRACK_BINARY_RC, a Python library which carries out a backtrack search for a set of binary decisions, using reverse communication (RC).
BISECTION_RC, a Python library which demonstrates the simple bisection method for solving a scalar nonlinear equation in a change of sign interval, using reverse communication (RC).
CG_RC, a Python library which implements the conjugate gradient (CG) method for solving a positive definite sparse linear system A*x=b, using reverse communication (RC).
ROOT_RC, a Python library which seeks a solution of a scalar nonlinear equation f(x) = 0, or a system of nonlinear equations, using reverse communication (RC), by Gaston Gonnet.
ROOTS_RC, a Python library which seeks a solution of a system of nonlinear equations f(x) = 0, using reverse communication (RC), by Gaston Gonnet.
SORT_RC, a Python library which can sort a list of any kind of objects, using reverse communication (RC).
TEST_MIN, a Python library which implements test problems for minimization of a scalar function of a scalar variable.
ZERO_RC, a Python library which seeks a solution of a scalar nonlinear equation f(x) = 0, using reverse communication (RC), by Richard Brent.
Original FORTRAN77 version by Richard Brent; Python version by John Burkardt.
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