jitoptimize_ode: Jit Optimize an ODEProblem

In JuliaDiffEq/diffeqr: Solving Differential Equations (ODEs, SDEs, DDEs, DAEs)

Jit Optimize an ODEProblem

Description

This function JIT Optimizes and ODEProblem utilizing the Julia ModelingToolkit and JIT compiler.

Usage

jitoptimize_ode(de, prob)

Arguments

de	the current diffeqr environment
prob	an ODEProblem

Value

Returns an ODEProblem which has been JIT-optimized by Julia.

Examples

## Not run:  ## diffeq_setup() is time-consuming and requires Julia+DifferentialEquations.jl
de <- diffeqr::diffeq_setup()
f <- function(u,p,t) {
  du1 = p[1]*(u[2]-u[1])
  du2 = u[1]*(p[2]-u[3]) - u[2]
  du3 = u[1]*u[2] - p[3]*u[3]
  return(c(du1,du2,du3))
}
u0 <- c(1.0,0.0,0.0)
tspan <- c(0.0,100.0)
p <- c(10.0,28.0,8/3)
prob <- de$ODEProblem(f, u0, tspan, p)
fastprob <- diffeqr::jitoptimize_ode(de,prob)
sol <- de$solve(fastprob,de$Tsit5())

## End(Not run)

JuliaDiffEq/diffeqr documentation built on March 19, 2024, 8:41 p.m.