Optimal Designs Enterprise

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Train Educators: Modeling & Simulation’s next step is (Mathematical) Optimizations. Optimizations require an Objective (function). Today's Engineers & Scientists solve problems with a “Find X” mind-set. With some Operational Research training they could expand their thinking to a “Find X to Optimize Y” mind-set. Then they would be ready for Optimizations and Calculus-level programming. (This would drop today’s design times that require months even man years to one or two days! Manufacturing processes could be optimized to the days demand and thus maximize their profits.)

simulation modeling curve fitting signal processing parameter tweaking equations differential trigonometry trig algebra computer simulations calculus level programming optimization total derivative process parameter tolerances monte carlo analysis micro chip math model manufacturing error spectral estimation methods spectral estimation algorithms signal analysis power spectral density sine curve fitting nonlinear curve fitting lorentz curve fitting damped sinusoidal curve fitting transfer function pulse shaping pole zero constellation nonlinear filter matched filter design kalman filter intersymbol interference electrical filter design electrical filter manufacturing optimization strategies war games buy/sell trade-offs senior management operations research leadership

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Optimal Designs Enterprise

Présentations

Calculus-level Coding Overview

Matched filter class

Curve Fitting class

Microchip Mfg. problem

FortranCalculus Class

Documents

Spectral Estimation class