scipy.optimize.show_options

scipy.optimize.show_options(solver=None, method=None, disp=True)

Show documentation for additional options of optimization solvers.

These are method-specific options that can be supplied through the options dict.

Parameters

solverstr

Type of optimization solver. One of ‘minimize’, ‘minimize_scalar’, ‘root’, ‘root_scalar’, ‘linprog’, or ‘quadratic_assignment’.

methodstr, optional

If not given, shows all methods of the specified solver. Otherwise, show only the options for the specified method. Valid values corresponds to methods’ names of respective solver (e.g., ‘BFGS’ for ‘minimize’).

dispbool, optional

Whether to print the result rather than returning it.

Returns

text

Either None (for disp=True) or the text string (disp=False)

Notes

The solver-specific methods are:

scipy.optimize.minimize

• Nelder-Mead

• Powell

• CG

• BFGS

• Newton-CG

• L-BFGS-B

• TNC

• COBYLA

• SLSQP

• dogleg

• trust-ncg

scipy.optimize.root

• hybr

• lm

• broyden1

• broyden2

• anderson

• linearmixing

• diagbroyden

• excitingmixing

• krylov

• df-sane

scipy.optimize.minimize_scalar

• brent

• golden

• bounded

scipy.optimize.root_scalar

• bisect

• brentq

• brenth

• ridder

• toms748

• newton

• secant

• halley

scipy.optimize.linprog

• simplex

• interior-point

• revised simplex

• highs

• highs-ds

• highs-ipm

scipy.optimize.quadratic_assignment

• faq

• 2opt

Examples

We can print documentations of a solver in stdout:

>>> from scipy.optimize import show_options
>>> show_options(solver="minimize")
...

Specifying a method is possible:

>>> show_options(solver="minimize", method="Nelder-Mead")
...

We can also get the documentations as a string:

>>> show_options(solver="minimize", method="Nelder-Mead", disp=False)
Minimization of scalar function of one or more variables using the ...

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