'Uniformly random' diaporamas de présentation

Randomized Algorithms

Randomized Algorithms. Hung Dang, Zheyuan Gao, Irvan Jahja, Loi Luu , Divya Sivasankaran. Agenda. DNF Counting Problem Approximating the Permanent Reduction to near uniform generation Near-Uniform Generation of Matchings Canonical Path Argument. Introduction. Hung Dang. Our problem.

662 views • 64 slides

FLUKA Advanced Biasing

FLUKA Advanced Biasing. FLUKA Users Meeting CERN 31/05/2007. Outline. Sampling Random numbers Sampling from discrete & generic distributions Sampling from biased distributions FLUKA User biasing routines USIMBS UDCDRL SOURCE Application: n_TOF biasing example. Pseudo-Random number.

1.02k views • 61 slides

Lattices, Cryptography and Computing with Encrypted Data

570 views • 43 slides

Lattices, Cryptography and Computing with Encrypted Data

577 views • 43 slides

How to Choose a Random Sudoku Board

How to Choose a Random Sudoku Board. Joshua Cooper USC Department of Mathematics. 1. 3. 7. 8. 9. 7. 4. 8. 5. 9. 2. 8. 1. 6. 6. 8. 7. 1. 2. 8. 4. 7. 1. 8. 1. 3. 7. 5. Rules: Place the numbers 1 through 9 in the 81 boxes, but do not let any number

412 views • 32 slides

Decision Trees and Influences

399 views • 32 slides

How to Choose a Random Sudoku Board

How to Choose a Random Sudoku Board. Joshua Cooper USC Department of Mathematics. 1. 3. 7. 8. 9. 7. 4. 8. 5. 9. 2. 8. 1. 6. 6. 8. 7. 1. 2. 8. 4. 7. 1. 8. 1. 3. 7. 5. Rules: Place the numbers 1 through 9 in the 81 boxes, but do not let any number

451 views • 32 slides

Decision Trees and Influences

387 views • 32 slides

Non-malleable extractors and symmetric key cryptography From weak secrets

Non-malleable extractors and symmetric key cryptography From weak secrets. Yevgeniy Dodis and Daniel Wichs (NYU). STOC 2009. Symmetric-Key Cryptography. Eve. Alice and Bob share a secret W and want to communicate securely over a public channel.

459 views • 27 slides

X i = indicator random variable of the event that i-th person gets his hat back.

334 views • 22 slides

X i = indicator random variable of the event that i-th person gets his hat back.

306 views • 22 slides

Branched Polymers

Branched Polymers. joint work with Rick Kenyon, Brown. Peter Winkler, Dartmouth. self-avoiding random walks. hard-core model. random independent sets. monomer-dimer. random matchings. branched polymers. random lattice trees. Potts model. random colorings. linear polymers.

377 views • 22 slides

Robust Network Traffic Estimation via Sparsity and Low Rank

Morteza Mardani and Georgios Giannakis ECE Department, University of Minnesota Acknowledgments : MURI (AFOSR FA9550-10-1-0567) grant. Robust Network Traffic Estimation via Sparsity and Low Rank. Vancouver, Canada May 31, 2013. 1. T raffic monitoring. Backbone of IP networks.

265 views • 15 slides

When Qubits Go Analog A Relatively Easy Problem in Quantum Information Theory

When Qubits Go Analog A Relatively Easy Problem in Quantum Information Theory. Scott Aaronson (MIT).

175 views • 11 slides

Simulation of multiple Q dK2 errors(cont.2)

? =1e-3(for 20cm Q) variable(for FD). Simulation of multiple Q dK2 errors(cont.2). dK2=2 sgn K1 ? /r (r=10mm, sgn= ?1 : random for each Q ). dK2= + 2 K1 ? /r (r=10mm). dK2= - 2 K1 ? /r (r=10mm). Example: d FD=5e-4. Corr ?. It seems OK for d FD=5e-4.

132 views • 4 slides