We introduce a numerical algorithm for solving dynamic economic models that merges stochastic simulation and projection approaches: we use simulation to approximate the ergodic measure of the solution, we cover the support of the constructed ergodic measure with a fixed grid, and we use...

Two of the most important areas in computational finance: Greeks and, respectively, calibration, are based on efficient and accurate computation of a large number of sensitivities. This paper gives an overview of adjoint and automatic differentiation (AD), also known as algorithmic...

We use computers to study economics, but few people realize that we can use economics to study and design computational systems. The reason is that computer networks can be regarded as a community of processes that in their interactions, strategies and lack of perfect knowledge, face the same...

Telecommunication networks are characterised by a complex group of intermediaries and each one of them faces two types of operational costs: transmission costs and delivery cost. This scheme allows the operator to evaluate the market structure and to perform the telecommunication service. The...

The main goal of this research is to compare and contrast two methodologies that exist within the multi-criteria decision making field. After presenting Data Envelopment Analysis (DEA) and the Multi-Dimensional Scaling approach (Co-plot), the two techniques are evaluated and compared against...