Machine learning of limit programs (i.e., programs allowed finitely many mind changes about their legitimate outputs) for computable functions is studied. Learning of iterated lim...
We present a goal replacement rule whose main applicability condition is based on termination properties of the resulting transformed program. The goal replacement rule together wi...
This paper documents the use of a massively parallel computer, specifically the Connection Machine CM-5, to solve the Boltzmann equation to model one-dimensional shock wave struct...
Abstract-- This paper studies the stabilizability of an ndimensional quantized feedforward nonlinear system. The state of that system is first quantized into a finite number of bit...
In this paper, we propose an effective automatic generation approach for a Cycle-Count Accurate Memory Model (CCAMM) from the Clocked Finite State Machine (CFSM) of the Cycle Accu...