[−][src]Function fang_oost::get_expectation_extended
pub fn get_expectation_extended<'a, 'b: 'a, S, U>(
x_min: f64,
x_max: f64,
x_domain_iterator: S,
discrete_cf: &'b [Complex<f64>],
vk: U
) -> impl IndexedParallelIterator<Item = f64> + 'a where
S: IndexedParallelIterator<Item = f64> + Sync + 'b,
U: Fn(f64, f64, usize) -> f64 + Sync + Send + 'b,
Returns expectation over equal mesh in the real domain where characteristic function depends on initial starting point of a Levy process.
Remarks
The "type" of the expectation is handled by the vk function. This function is useful for Levy functions since the characteristic function depends on the initial value of x. See fang_oost_option for an example.
Examples
extern crate num_complex; extern crate fang_oost; use num_complex::Complex; extern crate rayon; use rayon::prelude::*; let mu = 2.0; let sigma:f64 = 5.0; let num_u = 256; let num_x = 1024; let x_min = -20.0; let x_max = 25.0; let norm_cf = |u:&Complex<f64>|(u*mu+0.5*u*u*sigma*sigma).exp(); let x_domain=fang_oost::get_x_domain(num_x, x_min, x_max); let discrete_cf=fang_oost::get_discrete_cf(num_u, x_min, x_max, &norm_cf); let result:Vec<f64>=fang_oost::get_expectation_extended( x_min, x_max, x_domain, &discrete_cf, |u_im, x, k|{ if k==0{x-x_min} else { ((x-x_min)*u_im).sin()/u_im } } ).collect();