show_options(solver=None, method=None, disp=True)
These are method-specific options that can be supplied through the options
dict.
The solver-specific methods are:
Nelder-Mead <optimize.minimize-neldermead>
Powell <optimize.minimize-powell>
CG <optimize.minimize-cg>
BFGS <optimize.minimize-bfgs>
Newton-CG <optimize.minimize-newtoncg>
L-BFGS-B <optimize.minimize-lbfgsb>
TNC <optimize.minimize-tnc>
COBYLA <optimize.minimize-cobyla>
SLSQP <optimize.minimize-slsqp>
dogleg <optimize.minimize-dogleg>
trust-ncg <optimize.minimize-trustncg>
hybr <optimize.root-hybr>
lm <optimize.root-lm>
broyden1 <optimize.root-broyden1>
broyden2 <optimize.root-broyden2>
anderson <optimize.root-anderson>
linearmixing <optimize.root-linearmixing>
diagbroyden <optimize.root-diagbroyden>
excitingmixing <optimize.root-excitingmixing>
krylov <optimize.root-krylov>
df-sane <optimize.root-dfsane>
scipy.optimize.minimize_scalar
brent <optimize.minimize_scalar-brent>
golden <optimize.minimize_scalar-golden>
bounded <optimize.minimize_scalar-bounded>
bisect <optimize.root_scalar-bisect>
brentq <optimize.root_scalar-brentq>
brenth <optimize.root_scalar-brenth>
ridder <optimize.root_scalar-ridder>
toms748 <optimize.root_scalar-toms748>
newton <optimize.root_scalar-newton>
secant <optimize.root_scalar-secant>
halley <optimize.root_scalar-halley>
simplex <optimize.linprog-simplex>
interior-point <optimize.linprog-interior-point>
revised simplex <optimize.linprog-revised_simplex>
highs <optimize.linprog-highs>
highs-ds <optimize.linprog-highs-ds>
highs-ipm <optimize.linprog-highs-ipm>
scipy.optimize.quadratic_assignment
faq <optimize.qap-faq>
2opt <optimize.qap-2opt>
Type of optimization solver. One of 'minimize', 'minimize_scalar', 'root', 'root_scalar', 'linprog', or 'quadratic_assignment'.
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').
Whether to print the result rather than returning it.
Either None (for disp=True) or the text string (disp=False)
Show documentation for additional options of optimization solvers.
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 ...See :
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.optimize._root_scalar.root_scalar
scipy.optimize._linprog.linprog
scipy.optimize._optimize.show_options
scipy.optimize._minimize.minimize
scipy.optimize._root.root
scipy.integrate._quadrature.romberg
scipy.optimize._minimize.minimize_scalar
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