Search for tag: "opposition"

IES Conversation Series: (Full interview) Tamas Ziegler and Bryn Rosenfeld

The Institute for European Studies hosted "Conversations on European Matters in the Midst of a Pandemic" on May 13th, 2020. A portion of this interview was included in the webinar as a part…

From  Pamela Hampton 12 plays

MAE 4710/5710 Applied Dynamics

Zoom Recording ID: 200816800 UUID: iW6tF+J4R6ixatKDyrTQGw== Meeting Time: 2020-04-29T15:32:54Z

From  Andy Ruina 3 plays

ModelingCrystalGrowth1

From  James Overhiser 55 plays

ModelingCrystalGrowth1.mp4

From  James Overhiser 8 plays

Group-FinalPresentations

From  James Overhiser 22 plays

Session 6: Union and Management Approaches to Organizing

2018-02-14 00:00:00+00 Originally lecture #6

From  Donald Bazley 623 plays

CAM Colloquium - Raghu Pasupathy: Adaptive Sampling for Stochastic Recursions

For roughly six decades since the seminal paper of Robbins and Monro (1951), Stochastic Approximation has dominated the landscape of algorithms for solving root finding and optimization problems with…

From  E. Cornelius 5 plays

Ezra's Round Table/Systems Engineering Seminar on 4/6/2012 - Andrew March: Multifidelity Methods for Multidisciplinary System Design

Friday, April 6 at 12:00pm Frank H.T. Rhodes Hall, 253 Optimization of multidisciplinary systems is critical as slight performance improvements can provide significant benefits over the system's…

From  E. Cornelius 31 plays

CAM Colloquium, October 26, 2012 - Osman Güler

Osman Guler Department of Mathematics and Statistics University of Maryland, Baltimore County Friday, October 26, 2012 Interior-Point Methods and their Broad Impact on Sciences In 1990s, ipms…

From  E. Cornelius 3 plays

ORIE Colloquium, 2011-10-18 - Sheldon Jacobson: Balance Optimization Subset Selection - An Alternative Approach for Causal Inference with Observational Data

From  E. Cornelius 17 plays

CAM Colloquium, 2016-09-23 - Madeleine Udell: Generalized Low Rank Models: Algorithms and Applications

Abstract: In this talk, we introduce an optimization-based framework called Generalized Low Rank Models designed to uncover structure in big messy data sets. These models generalize…

From  E. Cornelius 18 plays