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Universal Approximations in Network Design

Universal Approximations in Network Design

Universal Approximations in Network Design. Rajmohan Rajaraman Northeastern University. Based on joint work with Chinmoy Dutta, Lujun Jia, Guolong Lin, Jaikumar Radhakrishnan, Ravi Sundaram, Emanuele Viola . 1,2,3,6?. {1,2,3,6}: 20+15+15+30=90. {2,3,4,5}: 10+10+20+40=80.

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402 views • 31 slides
Lecture 27 Physical Layer Ch 5: AnalogTransmission

Lecture 27 Physical Layer Ch 5: AnalogTransmission

CPE 400 / 600 Computer Communication Networks. Lecture 27 Physical Layer Ch 5: AnalogTransmission. Slides are modified from Behrouz A. Forouzan. Chapter 5: Analog Transmission 5.1 Digital-to-Analog Conversion Amplitude shift keying Frequency shift keying Phase shift keying

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454 views • 27 slides
An experimental evaluation of incremental and hierarchical k -median algorithms

An experimental evaluation of incremental and hierarchical k -median algorithms

David P. Williamson (Cornell University, on sabbatical at TU Berlin). An experimental evaluation of incremental and hierarchical k -median algorithms. Joint work with Chandrashekhar Nagarajan (Yahoo!). 10 th International Symposium on Experimental Algorithms SEA 2011 May 6, 2011.

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457 views • 25 slides
Adopt Algorithm for Distributed Constraint Optimization

Adopt Algorithm for Distributed Constraint Optimization

Adopt Algorithm for Distributed Constraint Optimization . Pragnesh Jay Modi Information Sciences Institute & Department of Computer Science University of Southern California http://www.isi.edu/~modi. Distributed Optimization Problem.

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284 views • 20 slides
Adopt Algorithm for Distributed Constraint Optimization

Adopt Algorithm for Distributed Constraint Optimization

Adopt Algorithm for Distributed Constraint Optimization . Pragnesh Jay Modi Information Sciences Institute & Department of Computer Science University of Southern California http://www.isi.edu/~modi. Distributed Optimization Problem.

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301 views • 20 slides

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