This page lists all CompEcon demos that have already been replicated in Python (original demos are from Miranda and Fackler 2002 toolbox). The actual Jupyter notebooks can be accessed in the GitHub repository of the toolbox; here, I provide html versions only.

## Mathematics Review

01 Taylor Approximations 02 Computing function inner products, norms, and metrics 03 Major distributions CDFs and PDFs

## Nonlinear Equations

01 Compute root of f(x)=exp(-x)-1 02 Compute root of Rosencrantz function 03 Compute fixedpoint of f(x) = sqrt(x) 04 Compute fixedpoint of f(x1,x2)= [x1 2+x2 3; x1 x2 - 0.5] 05 Cournot equilibrium model 07 Linear complementarity problem methods 08 Nonlinear complementarity problem methods 09 Hard nonlinear complementarity problem with Billup's function 12 Convergence rates for nonlinear equation methods 13 Simple nonlinear complementarity problem

## Function Approximation

00 Approximation using CompEcon toolbox 01 Approximating function on R 02 Approximating functions on R2 04 Approximating Runge's function 05 Chebychev polynomial and spline approximantion of various functions 06 Chebychev and cubic spline derivative approximation errors 07 Solve Cournot oligopoly model via collocation 08 Compute function inverse via collocation 09 Linear spline approximation 10 Monopolist's Effective Supply Function

## Discrete Time Discrete State Dynamic Programming

01 Mine management model 02 Asset replacement model 03 Asset replacement model with maintenance

## Discrete Time Continuous State Dynamic Programming

01 Timber Harvesting Model - Cubic Spline Approximation 02 Asset Replacement Model 03 Industry Entry-Exit Model 04 Job Search Model 05 America Put Option Pricing Model 06 Deterministic Optimal Economic Growth Model 11 Monetary Policy Model