Art and Approximation Micah Thanhauser & Jack deTar Rebecca - PowerPoint PPT Presentation

Feb 14, 2023 •529 likes •604 views

Articulating the Edge: Art and Approximation Micah Thanhauser & Jack deTar Rebecca Maxfield Ben Freeman The Tempest : Magic, Movement, and Methexis Rebecca Maxfield, B.A. Performance Studies Movement and the body Space, creation,

Articulating the Edge: Art and Approximation Micah Thanhauser & Jack deTar Rebecca Maxfield Ben Freeman
The Tempest : Magic, Movement, and Methexis Rebecca Maxfield, B.A. Performance Studies
Movement and the body
Space, creation, “theatre magic”
Audience participation Actors appearing in slides: Sarah Black, Emily Garrison, Ana Olson, Kim Sarnoff, Uday Shriram, Kent Smith, Alisa Yuasa
Articulating the Edge: Art and Approximation Micah Thanhauser & Jack deTar Rebecca Maxfield Ben Freeman

Recommend

6. Approximation and fitting norm approximation least-norm problems regularized

Convex Optimization Boyd & Vandenberghe 6. Approximation and fitting norm approximation least-norm problems regularized approximation robust approximation 61 Norm approximation minimize Ax b ( A R m

877 views • 20 slides

ECS 231 Lecture on Approximation and Error Analysis 1 / 9 Approximation and error analysis 1.

ECS 231 Lecture on Approximation and Error Analysis 1 / 9 Approximation and error analysis 1. Approximation and error ( not mistake! ) are the facts of life. 2. Sources of errors: measurement and data uncertainty modeling truncation

245 views • 9 slides

Approximation Algorithms for Geometric Proximity Problems: Introduction Background Approximation

Approximation Algorithms for Geometric Proximity Problems: Introduction Background Approximation Part I: Approximating Euclidean MSTs Prior Work Preliminaries WSPD+MST Lower Bound In Theory David M. Mount Simple+Slow Smart+Sloppy

1.41k views • 126 slides

Deep Approximation via Deep Learning Zuowei Shen Department of Mathematics National University

Deep Approximation via Deep Learning Zuowei Shen Department of Mathematics National University of Singapore Outline Introduction of approximation theory 1 Approximation of functions by compositions 2 Approximation rate in term of number of

1.03k views • 74 slides

DM865 (10 ECTS) Heuristikker og Approximationsalgoritmer [Heuristics and Approximation

DM865 (10 ECTS) Heuristikker og Approximationsalgoritmer [Heuristics and Approximation Algorithms] dm865.github.io Spring semester Lene Monrad Favrholdt Marco Chiarandini lektorer, IMADA Approximation Algorithms A 2 -approximation

634 views • 30 slides

Advanced Algorithms COMS31900 Approximation algorithms part three (Fully) Polynomial Time

Advanced Algorithms COMS31900 Approximation algorithms part three (Fully) Polynomial Time Approximation Schemes Rapha el Clifford Slides by Benjamin Sach Approximation Algorithms Recap An algorithm A is an -approximation algorithm for

1.72k views • 161 slides

Approximation Algorithms Algorithm Theory WS 2012/13 Fabian Kuhn Approximation Algorithms

Chapter 7 Approximation Algorithms Algorithm Theory WS 2012/13 Fabian Kuhn Approximation Algorithms Optimization appears everywhere in computer science We have seen many examples, e.g.: scheduling jobs traveling salesperson

694 views • 34 slides

6. Approximation and fitting Prof. Ying Cui Department of Electrical Engineering Shanghai Jiao

6. Approximation and fitting Prof. Ying Cui Department of Electrical Engineering Shanghai Jiao Tong University 2018 SJTU Ying Cui 1 / 31 Outline Norm approximation Least-norm problems Regularized approximation Robust approximation SJTU

688 views • 31 slides

Approximation Methods in Derivatives Pricing Minqiang Li Bloomberg LP September 24, 2013 1 / 27

Approximation Methods in Derivatives Pricing Minqiang Li Bloomberg LP September 24, 2013 1 / 27 Outline of the talk A brief overview of approximation methods Timer option price approximation Perpetual Finite-maturity Conclusion 2 / 27

283 views • 27 slides

Moderately exponential approximation Bridging the gap between exact computation and polynomial

Quick recalls Moderately exponential approximation Techniques for moderately exponential approximation Some questions Moderately exponential approximation Bridging the gap between exact computation and polynomial approximation Vangelis Th.

642 views • 31 slides

LOCAL LINEAR APPROXIMATION MATH 200 GOALS Be able to compute the local linear approximation

MATH 200 WEEK 6 - WEDNESDAY LOCAL LINEAR APPROXIMATION MATH 200 GOALS Be able to compute the local linear approximation for a function of two or more variables at a given point. Be able to use a local linear approximation to estimate a

561 views • 14 slides

Learning From Data Lecture 7 Approximation Versus Generalization The VC Dimension Approximation

Learning From Data Lecture 7 Approximation Versus Generalization The VC Dimension Approximation Versus Generalization Bias and Variance The Learning Curve M. Magdon-Ismail CSCI 4100/6100 recap: The Vapnik-Chervonenkis Bound (VC Bound) P [ |

353 views • 22 slides

Computing the Best Rank ( r 1 , r 2 , r 3 ) Approximation of a Tensor Lars Eld en

Computing the Best Rank ( r 1 , r 2 , r 3 ) Approximation of a Tensor Lars Eld en Department of Mathematics Link oping University Sweden Joint work with Berkant Savas Harrachov 2007 1 Best rank k approximation of a matrix

444 views • 40 slides

Applications (I) Lijun Zhang zlj@nju.edu.cn http://cs.nju.edu.cn/zlj Outline Norm

Applications (I) Lijun Zhang zlj@nju.edu.cn http://cs.nju.edu.cn/zlj Outline Norm Approximation Basic Norm Approximation Penalty Function Approximation Approximation with Constraints Least-norm Problems Regularized

868 views • 59 slides

Advanced Algorithms COMS31900 Approximation algorithms part two more constant factor

Advanced Algorithms COMS31900 Approximation algorithms part two more constant factor approximations Rapha el Clifford Slides by Benjamin Sach Approximation Algorithms Recap An algorithm A is an -approximation algorithm for problem P

2.14k views • 175 slides

Approximation and Randomized Algorithms Lecturer: Shi Li Department of Computer Science and

CSE 431/531: Analysis of Algorithms Approximation and Randomized Algorithms Lecturer: Shi Li Department of Computer Science and Engineering University at Buffalo Outline Approximation Algorithms 1 Approximation Algorithms for Traveling

790 views • 58 slides

Approximation and Randomized Algorithms Lecturer: Shi Li Department of Computer Science and

1.96k views • 193 slides

Approximation algorithms An algorithm has approximation ratio r if it outputs solutions with cost

Approximation algorithms An algorithm has approximation ratio r if it outputs solutions with cost such that c/c* r and c*/c r where c* is the optimal cost. We focus on ratio (as opposed to difference) because that appears to be more

999 views • 18 slides

Parallel Numerical Algorithms Chapter 6 Matrix Models Section 6.2 Low Rank Approximation

Low Rank Approximation by SVD Computing Low Rank Approximations Randomness and Approximation Hierarchical Low-Rank Structure Parallel Numerical Algorithms Chapter 6 Matrix Models Section 6.2 Low Rank Approximation Edgar Solomonik

584 views • 37 slides

Preasymptotic estimates for approximation of multivariate Sobolev functions Thomas K uhn

Preasymptotic estimates for approximation of multivariate Sobolev functions Thomas K uhn Universit at Leipzig, Germany ICERM Semester Program High-dimensional Approximation Brown University, Providence, Rhode Island IBC Workshop

461 views • 18 slides

Doubly Reflected BSDEs with Call Protection and their Approximation J.-F. Chassagneux , S.

Markovian RIBSDE Approximation Results Numerics Doubly Reflected BSDEs with Call Protection and their Approximation J.-F. Chassagneux , S. Crpey , A. Rahal quipe Analyse et Probabilit Universit dvry Val dEssonne 91025 vry

703 views • 46 slides

Lecture: Approximation Algorithms Lecture: Approximation Algorithms Jannik Matuschke November 5,

Lecture: Approximation Algorithms Lecture: Approximation Algorithms Jannik Matuschke November 5, 2018 Dynamic Programming Example I: The Knapsack Problem The Knapsack Problem Input: set of n items I , capacity B , for each item i [ n ]:

476 views • 10 slides

A 12/11-Approximation Algorithm for Minimum 3-Way Cut David Karger (MIT), Phillip Klein

A 12/11-Approximation Algorithm for Minimum 3-Way Cut David Karger (MIT), Phillip Klein (Brown), Cliff Stein (Columbia) Mikkel Thorup (AT&T), Neal Young (UCR) ``As the field of approximation algorithms matures, methodologies are

185 views • 18 slides

Gaussian Quadrature September 25, 2011 Interpolation Approximation of integrals Approximation

Interpolation Gaussian Quadrature September 25, 2011 Interpolation Approximation of integrals Approximation of integrals by quadrature Many definite integrals cannot be computed in closed form, and must be approximated numerically.

197 views • 16 slides