'Unconstrained optimization problem' presentation slideshows

Using random models in derivative free optimization

Using random models in derivative free optimization. Katya Scheinberg Lehigh University (mainly based on work with A. Bandeira and L.N. Vicente and also with A.R. Conn, Ph.Toint and C. Cartis ). Derivative free optimization. Unconstrained optimization problem

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660 views • 57 slides

Notes

Notes. Will add references to splines on web page. Forward Kinematics. Usually a character (or a robot) has no loops --- link/joint graph is a tree Pick an arbitrary link to be the root (e.g. hip) Settle on its coordinate system with respect to the world

195 views • 12 slides