This item provides functions to simulate a back propagated neural network, to classify exemplars based on network results, and to examine graphically and numerically the ...

The desire and/or the need of automating long, tedious, complex and error-prone sequences of mathematical symbolic computations has been a dream as old as mathematics itself. ...

A supplement that accompanies Calculus: Modeling and Application by David Smith and Lawrence Moore. Contains 28 single variable calculus laboratories whose purpose is to ...

Early in the summer of 1992, my advisor proposed the following problem to me: Can you find a "simple" function which, when given a, the confidence coefficient, and n, the ...

In trying to define what to teach scientists and engineers about programming in just one week, Gregory V. Wilson has set an extremely ambitious problem. Let me suggest an ...

A model is developed and implemented, using linear programming to solve a common scheduling problem.

Many of the commonly used rainfall-runoff computer programs involve runoff generation and flood hydrograph routing algorithms that reduce into Toeplitz matrix systems (see ...