package scipy

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type tag = [
  1. | `OdeSolution
]
type t = [ `Object | `OdeSolution ] Obj.t
val of_pyobject : Py.Object.t -> t
val to_pyobject : [> tag ] Obj.t -> Py.Object.t
val create : ts:[> `Ndarray ] Np.Obj.t -> interpolants:Py.Object.t -> unit -> t

Continuous ODE solution.

It is organized as a collection of `DenseOutput` objects which represent local interpolants. It provides an algorithm to select a right interpolant for each given point.

The interpolants cover the range between `t_min` and `t_max` (see Attributes below). Evaluation outside this interval is not forbidden, but the accuracy is not guaranteed.

When evaluating at a breakpoint (one of the values in `ts`) a segment with the lower index is selected.

Parameters ---------- ts : array_like, shape (n_segments + 1,) Time instants between which local interpolants are defined. Must be strictly increasing or decreasing (zero segment with two points is also allowed). interpolants : list of DenseOutput with n_segments elements Local interpolants. An i-th interpolant is assumed to be defined between ``tsi`` and ``tsi + 1``.

Attributes ---------- t_min, t_max : float Time range of the interpolation.

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 : Format.formatter -> t -> unit

Pretty-print the object to a formatter.

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