package scipy

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package scipy
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type tag = [
  1. | `Anderson
]
type t = [ `Anderson | `Object ] Obj.t
val of_pyobject : Py.Object.t -> t
val to_pyobject : [> tag ] Obj.t -> Py.Object.t
val create : ?alpha:Py.Object.t -> ?w0:float -> ?m:float -> unit -> t

Find a root of a function, using (extended) Anderson mixing.

The Jacobian is formed by for a 'best' solution in the space spanned by last `M` vectors. As a result, only a MxM matrix inversions and MxN multiplications are required. Ey_

Parameters ---------- %(params_basic)s alpha : float, optional Initial guess for the Jacobian is (-1/alpha). M : float, optional Number of previous vectors to retain. Defaults to 5. w0 : float, optional Regularization parameter for numerical stability. Compared to unity, good values of the order of 0.01. %(params_extra)s

See Also -------- root : Interface to root finding algorithms for multivariate functions. See ``method=='anderson'`` in particular.

References ---------- .. Ey V. Eyert, J. Comp. Phys., 124, 271 (1996).

val aspreconditioner : [> tag ] Obj.t -> Py.Object.t

None

val matvec : f:Py.Object.t -> [> tag ] Obj.t -> Py.Object.t

None

val setup : x0:Py.Object.t -> f0:Py.Object.t -> func:Py.Object.t -> [> tag ] Obj.t -> Py.Object.t

None

val solve : ?tol:Py.Object.t -> f:Py.Object.t -> [> tag ] Obj.t -> Py.Object.t

None

val update : x:Py.Object.t -> f:Py.Object.t -> [> tag ] Obj.t -> Py.Object.t

None

val to_string : t -> string

Print the object to a human-readable representation.

val show : t -> string

Print the object to a human-readable representation.

val pp : Stdlib.Format.formatter -> t -> unit

Pretty-print the object to a formatter.