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Approximation Greedy published presentations and documents on DocSlides.

Greedy & Heuristic algorithms in Influence Maximization

Greedy & Heuristic algorithms in Influence Maximization

  • tatiana-dople
  • 0 Slides

Jingtao Zhu. May 13rd,2016. “Efficient Influenc...

Lecture 7 Frequency Response

Lecture 7 Frequency Response

  • tatiana-dople
  • 0 Slides

Review of CS, CG and CD Amplifier. Voltage Gain o...

6.896: Topics in Algorithmic Game Theory

6.896: Topics in Algorithmic Game Theory

  • conchita-marotz
  • 0 Slides

Lecture 13. Constantinos Daskalakis. multiplayer ...

On Centralized Sublinear Algorithms and Some Relations to Distributed Computing

On Centralized Sublinear Algorithms and Some Relations to Distributed Computing

  • pasty-toler
  • 0 Slides

Dana Ron . Tel-Aviv University. ADGA, October 201...

Gopi Sanghani  9825621471

Gopi Sanghani  9825621471

  • test
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. . gopi.sanghani@darshan.ac.in. Analysis an...

Review: Tree search Initialize

Review: Tree search Initialize

  • calandra-battersby
  • 0 Slides

. the . frontier . using the . starting state. W...

Sketching as a Tool for Numerical Linear Algebra

Sketching as a Tool for Numerical Linear Algebra

  • mitsue-stanley
  • 0 Slides

All Lectures. David Woodruff. IBM Almaden. Massiv...

Introduction to error analysis

Introduction to error analysis

  • mitsue-stanley
  • 0 Slides

Class II. "The purpose of computing is insight, n...

Review: Tree search Initialize

Review: Tree search Initialize

  • sherrill-nordquist
  • 0 Slides

. the . frontier . using the . starting state. W...

Why do we want a good ratio anyway?

Why do we want a good ratio anyway?

  • ellena-manuel
  • 0 Slides

. Approximation stability and proxy objectives. ...

The Complexity of Equilibria

The Complexity of Equilibria

  • kittie-lecroy
  • 0 Slides

in Cost Sharing Games. Vasilis Syrgkanis. Cornel...

Window-Based Greedy Contention Management for Transactional Memory

Window-Based Greedy Contention Management for Transactional Memory

  • danika-pritchard
  • 0 Slides

Gokarna Sharma (. LSU. ). Brett . Estrade. (. Un...

CPSC 422, Lecture 10 Slide

CPSC 422, Lecture 10 Slide

  • giovanna-bartolotta
  • 0 Slides

1. Intelligent Systems (AI-2). Computer Science ....

Computational and Communication Complexity in Massively Parallel

Computational and Communication Complexity in Massively Parallel

  • tatiana-dople
  • 0 Slides

Computation. Grigory. . Yaroslavtsev. (Indiana U...

Reducing the collection of

Reducing the collection of

  • marina-yarberry
  • 0 Slides

itemsets. : alternative representations and combi...

Lecture 7 Frequency Response

Lecture 7 Frequency Response

  • jane-oiler
  • 0 Slides

Review of CS, CG and CD Amplifier. Voltage Gain o...

A Workman That Needs Not Be Ashamed

A Workman That Needs Not Be Ashamed

  • min-jolicoeur
  • 0 Slides

I. Be Not Ashamed (1). II. A Workman (2). III. Pe...

Sparse and low -rank recovery problems in signal processing and machine learning

Sparse and low -rank recovery problems in signal processing and machine learning

  • conchita-marotz
  • 0 Slides

. Jeremy Watt and . Aggelos. . Katsaggelos. Nor...

A Maximum Likelihood Method for

A Maximum Likelihood Method for

  • danika-pritchard
  • 0 Slides

Quasispecies. Reconstruction. Nicholas Mancuso, ...

Write some problems that you would

Write some problems that you would

  • sherrill-nordquist
  • 0 Slides

like me to cover on . Thursday. Asymptotic Notati...

1 Spanning Trees, greedy algorithms

1 Spanning Trees, greedy algorithms

  • tatyana-admore
  • 0 Slides

Lecture . 22. CS2110 – . Fall 2017. 1. We demo ...

Near-Optimal LP Rounding for Correlation Clustering

Near-Optimal LP Rounding for Correlation Clustering

  • conchita-marotz
  • 0 Slides

Grigory. . Yaroslavtsev. http://grigory.us. . W...

Review: Tree search Initialize

Review: Tree search Initialize

  • luanne-stotts
  • 0 Slides

. the . frontier . using the . starting state. W...

On Quantification of Accuracy Loss in Approximate Computing

On Quantification of Accuracy Loss in Approximate Computing

  • faustina-dinatale
  • 0 Slides

Ulya. . R. . Karpuzcu. ukarpuzc@umn.edu. . 12/0...

FINITE ELEMENT APPROXIMATION

FINITE ELEMENT APPROXIMATION

  • alexa-scheidler
  • 0 Slides

Rayleigh-Ritz method approximate solution in the ...

Disciplined Approximate Computing: From Language to Hardware and Beyond

Disciplined Approximate Computing: From Language to Hardware and Beyond

  • min-jolicoeur
  • 0 Slides

University of Washington. Adrian Sampson, . Hadi....

Local Linear Approximation

Local Linear Approximation

  • natalia-silvester
  • 0 Slides

Math 200. Week 6 - Friday. Math 200. Goals. Be ab...

Sensors & Actuators for Automatic Systems (S&AAS)

Sensors & Actuators for Automatic Systems (S&AAS)

  • kittie-lecroy
  • 0 Slides

Dr. Imtiaz Hussain. Associate Professor. email: ....

Introduction to Algorithms

Introduction to Algorithms

  • ellena-manuel
  • 0 Slides

. Greedy . Algorithms. CSE 680. Prof. Roger Craw...

Approximation Algorithms for Stochastic Optimization

Approximation Algorithms for Stochastic Optimization

  • cheryl-pisano
  • 0 Slides

Anupam Gupta. Carnegie Mellon University. SODA . ...

Geometric Representations & Collision Detection

Geometric Representations & Collision Detection

  • faustina-dinatale
  • 0 Slides

Kris Hauser. ECE 383 / ME 442. Fall 2015. 3D mode...

Apex Point Map for Constant-Time Bounding Plane Approximation

Apex Point Map for Constant-Time Bounding Plane Approximation

  • trish-goza
  • 0 Slides

Samuli . Laine. Tero Karras. NVIDIA. The Problem....

My notations Set of voters

My notations Set of voters

  • cheryl-pisano
  • 0 Slides

{1,...,. n. }. Set of . m candidates. {. a. ,. ...

Approximation Algorithms for

Approximation Algorithms for

  • liane-varnes
  • 0 Slides

Stochastic . Optimization. Anupam Gupta. Carnegie...

Convergence: nth-Term Test, Comparing Non-negative Series, Ratio Test

Convergence: nth-Term Test, Comparing Non-negative Series, Ratio Test

  • stefany-barnette
  • 0 Slides

Power Series and Convergence. We have written sta...

CSI-447 : Multimedia Systems

CSI-447 : Multimedia Systems

  • briana-ranney
  • 0 Slides

Chapter . 8. : . Data Compression. . (. c. ). Ou...

– 1 – Data Converters Successive Approximation ADC Professor Y. Chiu

– 1 – Data Converters Successive Approximation ADC Professor Y. Chiu

  • sherrill-nordquist
  • 0 Slides

EECT 7327 . Fall 2014. Successive Approximation....

HUFFMAN CODES Greedy Algorithm Design

HUFFMAN CODES Greedy Algorithm Design

  • marina-yarberry
  • 0 Slides

Steps of Greedy Algorithm Design:. Formulate the ...

CS38 Introduction to Algorithms

CS38 Introduction to Algorithms

  • lois-ondreau
  • 0 Slides

Lecture 17. May 27, . 2014. May 27, 2014. 1. CS38...

Approximation Algorithms

Approximation Algorithms

  • tatyana-admore
  • 0 Slides

When the best just isn’t possible. Jeff Chastin...

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