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52:30 MAT 168 Optimization lecture-2023-03-15 MAT 168 Optimization lecture-2023-03-15	MAT 168 Optimization lecture-2023-03-15 function lambda multipliers convex triangle linear space point points variables model a1 thing piecewise variable triangulation interpolation times x. optimization From Matthias Koeppe 0 likes 10 plays 0
01:24:02 ECS-175: 2020-11-24 11:00 ECS-175: 2020-11-24 11:00	ECS-175: 2020-11-24 11:00 ECS-175 Lecture 2020-11-24 at 11:00 point points curve control segment bar interval segments minus algorithm generation alright linear curves interpolation values spline computation configuration step From Bernd Hamann 0 likes 178 plays 0
01:23:22 ECS-175: 2020-11-17 11:00 ECS-175: 2020-11-17 11:00	ECS-175: 2020-11-17 11:00 ECS-175 Lecture 2020-11-17 at 11:00 times point curve points minus interpolation alright linear polynomials t. shape definition function control ratio triangle bernstein functions generation b1 From Bernd Hamann 0 likes 123 plays 0
01:25:34 ECS-175: 2020-11-05 11:00 ECS-175: 2020-11-05 11:00	ECS-175: 2020-11-05 11:00 ECS-175 Lecture 2020-11-05 at 11:00 intensity triangle color point values times pixels vector pixel interpolation length triangles model surface colors linear corner shading k. light From Bernd Hamann 0 likes 136 plays 0
36:26 Abhishek Roy: Escapting Saddle-Points Faster… Abhishek Roy: Escapting Saddle-Points Faster under Interpolation	Abhishek Roy: Escapting Saddle-Points Faster under Interpolation See https://sites.google.com/view/maddd/ for the details. fall 2020 maddd gradient point function minima condition descent convex epsilon interpolation access optimization saddle points rate estimator theta cases method viewpoint networks From Naoki Saito 0 likes 20 plays 0