'Harmonic functions' presentation slideshows

THE EXAM

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Information complexity and exact communication bounds

Information complexity and exact communication bounds. Mark Braverman Princeton University. April 26, 2013. Based on joint work with Ankit Garg , Denis Pankratov , and Omri Weinstein. Overview: information complexity. Information complexity :: communication complexity a s

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COMS 6998-06 Network Theory Week 5: February 21, 2008

COMS 6998-06 Network Theory Week 5: February 21, 2008. Dragomir R. Radev Thursdays, 6-8 PM 233 Mudd Spring 2008. (8) Random walks and electrical networks. Random walks. Stochastic process on a graph Transition matrix E Simplest case: a regular 1-D graph. 0. 1. 2. 3. 4. 5.

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Polya-Schoenberg Conjecture Type Problems For Harmonic Univalent Mappings

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Introduction to Geomagnetism

Introduction to Geomagnetism. The magnetic record of Earth's history that is frozen into crustal rocks has provided, perhaps, the most important geophysical evidence of past and on-going plate-tectonic processes.

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Physics 481/581 Physical Optics

Physics 481/581 Physical Optics. Instructor: Oksana Ostroverkhova Weniger 413 oksana@science.oregonstate.edu Class TA: Matt Cibula cibulam@onid.orst.edu Class hours: MWF 10-11, Weniger 304 Office hours: TF 1-2 Labs: R 9-11:50 AM or 1-3:50 PM, Weniger 426. Textbook.

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Harmonic functions

Harmonic functions. Sines and cosines with the same frequency. The general picture: Asin  x + Bcos  x. (x is usually t). I’ll set A = 1 and B = 0 for examples here. Examples with 0 ≤ x ≤ 1000,  = 2nπ/1000. Sums of harmonic functions with different frequencies are not harmonic.

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Response of SDOF systems to periodic excitation

Response of SDOF systems to periodic excitation. Periodic function: repeats itself every period T P(t+T)=p(t) for any t. T. Finding steady state response of a SDOF system to a periodic excitation. Decompose excitation into series of harmonic functions Find response to each harmonic function

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Efficient Convex Relaxation for Transductive Support Vector Machine

Efficient Convex Relaxation for Transductive Support Vector Machine Zenglin Xu 1 , Rong Jin 2 , Jianke Zhu 1 , Irwin King 1 , and Michael R. Lyu 1. 2 rongjin@cse.msu.edu Department of Computer Science and Engineering Michigan State University East Lansing, MI, 48824.

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