forest.impulse: Compute intervention function for the Faustmann forest...

In mludkov/mlOSP: Machine Learning and Regression Monte Carlo Algorithms for Optimal Stopping

Compute intervention function for the Faustmann forest rotation problem

Description

Compute intervention function for the Faustmann forest rotation problem

Usage

forest.impulse(cur_x, model, fit, ext = FALSE)

Arguments

cur_x	Set of inputs where to compute the intervention function. Should be a n x 1 vector
model	a list containing all model parameters, including model$impulse.fixed.cost for the constant cost of any impulse
fit	Object containing the one-step-ahead functional approximator for V(k,x)
ext	logical flag (default is FALSE) whether to return extended information

Details

Calculates the intervention operator for a 1-D impulse control problem arising in the Faustmann forest rotation setup. In that case, the impulse target level is fixed at zero (or model$impulse.target) and the impulse value is x-fixed.cost-target Calls ospPredict on fit to find that

mludkov/mlOSP documentation built on April 29, 2023, 7:56 p.m.