Optimization Gary Garrison Dave Calkins. Optimization Basics Potential Pitfalls Available Controls Specific interfaces – Best fit points to points – Best.

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Presentation transcript:

Optimization Gary Garrison Dave Calkins

Optimization Basics Potential Pitfalls Available Controls Specific interfaces – Best fit points to points – Best fit points to surfaces – Relationship fit – USMN

Basics Over-determined system Input system/Objective f(x) Solution space Local and global minima Stopping condition

Example problem

Minima: Finding the “correct” solution

Search method “Run Optimization” – Newton Raphson – Quick “Run Direct Search” – Hooke and Jeeves – Robust (local minima)

Run Optimization (Newton Raphson)

Run Direct Search (Hooke and Jeeves)

Potential Pitfalls Long run time Really short run time Highly leveraged fit Wrong solution

Available Controls OK to cancel & apply fit User Options, Units tab Starting condition Working Frame during fit Iterative Approach Weighting

User Options

Specific Interfaces Best fit points to points Best fit points to objects Relationship fit USMN

Best fit points to points

Best fit points to objects

Best fit points to objects, cont’d

Relationship fit

Relationship fit, cont’d

USMN

USMN, cont’d

Thank You

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