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44:23 MAT 168 Optimization lecture-2023-03-17 MAT 168 Optimization lecture-2023-03-17	MAT 168 Optimization lecture-2023-03-17 integer problem variables optimization solutions sum half linear argument thing problems formulation solution convex cycle vertices function symmetry middle inequalities From Matthias Koeppe 0 likes 5 plays 0
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 5 plays 0
49:47 MAT 168 Optimization lecture-2023-03-06 MAT 168 Optimization lecture-2023-03-06	MAT 168 Optimization lecture-2023-03-06 edges variables edge problem delta inequalities cut star s. vertex model linear optimization decision tour e. formulation point thing subset From Matthias Koeppe 0 likes 20 plays 0
44:22 MAT 168 Optimization lecture-2023-03-03 MAT 168 Optimization lecture-2023-03-03	MAT 168 Optimization lecture-2023-03-03 solution cycle problem tour edges graph vertex optimization vector variables cost question inequality basis constraints sequence edge answer step inequalities From Matthias Koeppe 0 likes 15 plays 0
51:56 MAT 168 Optimization lecture-2023-02-22 MAT 168 Optimization lecture-2023-02-22	MAT 168 Optimization lecture-2023-02-22 solution problem times duality inequalities inequality zeta optimization linear function side hand star theorem vector transpose coefficient thing alpha bound From Matthias Koeppe 0 likes 8 plays 0
51:28 MAT 168 Optimization: lecture-2023-02-13 MAT 168 Optimization: lecture-2023-02-13	MAT 168 Optimization: lecture-2023-02-13 points convex solution flow theorem problem linear basis point sum optimization source equations combination things answer algorithm driver drivers form From Matthias Koeppe 0 likes 16 plays 0
51:32 lecture-2023-01-18 lecture-2023-01-18	lecture-2023-01-18 production table things variables tables legs inventory glass times hours point revenue unit kind plan tops thing optimization constraints constraint From Matthias Koeppe 0 likes 22 plays 0
16:14 Matt Yost 2022 WAC - When You Just Don't… Matt Yost 2022 WAC - When You Just Don't Have Enough: Producing Irrigated Alfalfa Under Deficit Conditions	Matt Yost 2022 WAC - When You Just Don't Have Enough: Producing Irrigated Alfalfa Under Deficit Conditions water deficit irrigation options season things alfalfa lot production depletion loss tools cases situation optimization quality yield uniform pulse tool From Colton Perazzo 0 likes 3 plays 0
53:59 2021-10-15: Lifting valid inequalities 2021-10-15: Lifting valid inequalities	2021-10-15: Lifting valid inequalities Videos and all other materials are copyright 2021 Matthias Köppe and shared as Open Educational Resources subject to the Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)… solution inequality alpha dimension solutions face hat problem transpose inequalities optimization convex argument hull coefficient phase problems equations sense f. From Matthias Koeppe 0 likes 7 plays 0
48:58 2021-10-27: Disjunctive, logic modeling,… 2021-10-27: Disjunctive, logic modeling, matching, TSP	2021-10-27: Disjunctive, logic modeling, matching, TSP Videos and all other materials are copyright 2021 Matthias Köppe and shared as Open Educational Resources subject to the Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)… problem inequalities formulation variables flow edges problems matching vertex optimization cycles edge vertices hull inequality formulations network lambda convex space From Matthias Koeppe 0 likes 6 plays 0
48:50 2021-09-27: Linear programming duality 2021-09-27: Linear programming duality	2021-09-27: Linear programming duality Videos and all other materials are copyright 2021 Matthias Köppe and shared as Open Educational Resources subject to the Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)… solution lp solutions transpose theorem inequalities duality problem gamma question inequality answer possibilities method b. pair variables thing optimization hand From Matthias Koeppe 0 likes 18 plays 0
40:05 mat133-2021-06-02-minimum-variance-line mat133-2021-06-02-minimum-variance-line	mat133-2021-06-02-minimum-variance-line Geometry of portfolios. Minimum-variance line (curve). mat133-2021s-notes-2021-06-02.pdf 3D graphics: hw6B_3D_1_X=6_Y=8_Z=0.html hw6B_3D_2_X=6_Y=8_Z=0.html Videos and all other materials are… variance portfolio triangle assets optimization problem return curve boundary curves weights times formula stock covariance bit multipliers method solution plane From Matthias Koeppe 0 likes 37 plays 0
04:53 End-to-End Optimized High-Speed Single-Pixel… End-to-End Optimized High-Speed Single-Pixel Imaging via Pattern Scanning	End-to-End Optimized High-Speed Single-Pixel Imaging via Pattern Scanning Photonic and Electronic Devices 11 Team Lead: Kangning Zhang Advisor: Prof. Yang end pixel pattern point scanning camera result patterns disadvantage modalities imaging image measurement optimization sampling times reconstruction technique advantage detector From Femi-Jide Akinmoladun 0 likes 8 plays 0
04:58 A Riemannian Geometric Approach to Blind Signal… A Riemannian Geometric Approach to Blind Signal Recovery for Grant Free Radio Network Access	A Riemannian Geometric Approach to Blind Signal Recovery for Grant Free Radio Network Access Sensing, Imaging and Signal Processing 14 Team Lead: Carlos Feres Advisor: Prof. Ding space recovery manifold matrix sources approach sample cross problem signals interference db tangent function cost optimization signal channel success probability From Femi-Jide Akinmoladun 0 likes 14 plays 0
01:11:39 yi.ma.4.13 yi.ma.4.13	yi.ma.4.13 In this talk, we offer an entirely “white box’’ interpretation of deep (convolution) networks from the perspective of data compression (and group invariance). In particular, we show… network networks thing lot class layers things rate structure classes space question optimization channels convolution measure representation compression backpropagation layer From Stefan Schonsheck 0 likes 26 plays 0
44:39 mat133-2021-04-07-ampl-as-a-calculator--no-arbitra… mat133-2021-04-07-ampl-as-a-calculator--no-arbitrage	mat133-2021-04-07-ampl-as-a-calculator--no-arbitrage Using AMPL as a calculator or declarative programming system. The no-arbitrage principle. mat133-2021s-notes-04-07.pdf models-2021-04-07.zip (contains cz_exercise_1_2.mod) Videos and all other… wealth portfolio things stock risk times model exercise market arbitrage programming equation scenario probability exercises assumption sense optimization situation asset From Matthias Koeppe 0 likes 63 plays 0