Approximate Computing offers enhanced energy efficiency by exploring quality relaxation on applications. Application-agnostic hardware-level techniques can provide high benefits under certain scenarios, but their integration ...

Representing the interaction between accurate and approximate hardware modules at the architecture level is essential to understand the impact of Approximate Computing in a general-purpose computing scenario. However, ...

-In the most direct method for measuring correlation functions with an analog computer a delay must be simulated. Since a lumped parameter system is used, we can only hope to approximate this delay. We intentionally exclude ...

This paper shows existence of approximate recursive equilibrium with minimal state space in an environment of incomplete markets. We prove that the approximate recursive equilibrium implements an approximate sequential ...

We study the question of constructive approximation of the harmonic measure omega(Omega)(x) of a bounded domain Omega with respect to a point x is an element of Omega. In particular, using a new notion of computable harmonic ...

A radial basis function network (RBFN) circuit for function approximation is presented. Simulation and experimental results show that the network has good approximation capabilities. The RBFN was a squared hyperbolic secant ...

Classical model-based control techniques used in process control applications present a tradeoff between performance and computational load, especially when using complex nonlinear methods. Learning-based techniques that ...