Engineering vs. Scientific Problems

Engineering vs. Scientific Problems

m Scientific Problems:

Ù Usually characterized by a small number of well-defined, relatively independent, first-order effects.

Ù Input and required output usually well defined.

Ù Measure of success usually well defined.

Ù Usually well-suited to algorithmic solution.

m Engineering Problems:

Ù Characterized by a large number of interacting second-order effects.

Ù Often difficult to define inputs and outputs precisely.

Ù Measure of success often time-dependent and ill-defined.

Ù Require the use of good experimental technique, modular design, iteration.

e.g. Area routing on n layers with signal skew constraints, stub-length constraints, via constraints, and cross-talk constraints.

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