Programming Languages and Systems in Computational Economics and Finance Book

	Preface
	Contributing Authors
Pt. I	Models and Modelling
1	COIN-OR: An Open-Source Library for Optimization	3
2	Macroeconomics: What can we learn from the Dynamical Systems literature?	33
3	The rapid implementation of asset/liability models for risk management	63
4	Human and Organization Challenges to the Use of Optimization	93
Pt. II	High-level and Object Oriented Approaches
5	Object-oriented Programming using Ox	115
6	Design Patterns in Hierarchical Models	149
7	Facilitating applied economic research with Stata	173
8	Formulation of Linear Optimization Problems in C++	199
Pt. III	Maple and MATLAB
9	MAPLE and MATLAB for Stochastic Differential Equations in Finance	233
10	Computational Programming Environments	271
11	Statistics and simulations with Maple	297
12	MATLAB as a Flexible Tool for Data Analysis and Optimisation	331
Pt. IV	Options and Differential Equations
13	Option pricing with Excel	369
14	Numerical solution of boundary value problems in computational finance	403
15	MAPLE for Jump-Diffusion Stochastic Differential Equations in Finance	441