This thesis considers the numerical solution of two classes of optimal control problems, called Problem P1 and Problem P2 for easy identification. Problem P1 involves a functional I subject to differential constraints and ...

Two algorithms have been developed at Rice University for optimal linear feature extraction based on the minimization risk (probability) of misclassification under the assumption that the class conditional probability ...

This research note suggests that before we design hardware or software for the task of problem solving, we re-evaluate the task of problem solving in terms of the linguistic constituents which will be required and the ...

Recent work in extensible programming languages and operating systems by Redell, Lampson, Hewitt, and others coupled with developments in distributed computer systems motivates a study in models of the implementation of ...

An identification scheme is developed for the determination of several parameters of a modified "Windkessel" model of the systemic arterial system for an individual patient undergoing cardiac catheterization. The scheme ...

The development of a computer controlled tunable ultraviolet spectrometer utilizing intracavity second harmonic generation in a single frequency CW dye ring laser is reported. With 5 W of argon ion laser pump power at 514.5 ...

This report summarizes the work performed under the AFOSR grant 75-2777 over the almost five year period during which the grant was in effect.

In an automatic pattern recognition system, the processor that selects and measures features fo the data, on the basis of which classification is made, is called a "feature selector" or "feature extractor". This paper ...