'Linear congruential generator' presentation slideshows

Stochastic algorithms

Stochastic algorithms. Outline. In this topic, we will cover: Concepts about random numbers Random number generators Monte Carlo methods Monte Carlo integration Randomized quicksort Skip lists. Stochastic. The word stochastic comes from Greek: ?????? ,

1.15k views • 89 slides

Introduction to Monte Carlo Simulation

Introduction to Monte Carlo Simulation. Robert L. Harrison University of Washington Medical Center Seattle, Washington, USA Supported in part by PHS grants CA42593 and CA126593. What is Monte Carlo?.

826 views • 45 slides

Pseudo-random Number Generation

Pseudo-random Number Generation . Qiuliang Tang. Random Numbers in Cryptography . The keystream in the one-time pad The secret key in the DES encryption The prime numbers p, q in the RSA encryption The private key in DSA The initialization vectors (IVs) used in ciphers.

1.15k views • 31 slides

RC4-Stream Ciphers Blowfish, RC5 Block Ciphers

RC4-Stream Ciphers Blowfish, RC5 Block Ciphers . M. Sakalli, Marmara Univ. Chapter 6 of Cryptography and Network Security by William Stallings Modified from the original slides of Lawrie Brown. K. PRNG. ?. k. E. PT. CT. K. PRNG. ?. k. CT. PT. D. Stream Ciphers.

1.62k views • 30 slides

Random Number Generators

Random Number Generators. Why do we need random variables?. random components in simulation ? need for a method which generates numbers that are random examples interarrival times service times demand sizes. terminology. Random Numbers

468 views • 30 slides

An Introduction to R Pseudo Random Number Generation (PRNG)

An Introduction to R Pseudo Random Number Generation (PRNG). Prof. Ke-Sheng Cheng Dept. of Bioenvironmental Systems Eng. National Taiwan University. Pseudo Random Number Generator (PRNG).

419 views • 18 slides

Statistical Data Analysis: Lecture 4

479 views • 16 slides

A lightweight secure protocol for wireless sensor networks

A lightweight secure protocol for wireless sensor networks. ??? 2007.12. 4 ELSEVIER Mar. 2006. Contents. Introduction Security goals Assumption LCG-based security protocols Performance analysis Conclusions and future work. Introduction (1/2). Linear Congruential Generator (LCG)

279 views • 16 slides

Random Number Generation

Random Number Generation. Plan: Introduce basics of RN generation Define concepts and terminology Introduce RNG methods Linear Congruential Generator (LCG) Explicit Inversive Congruential Generator Non-linear Additive Feedback Transform-Expand-Sample (TES) Technical issues for RNGs

400 views • 14 slides

528491

528491. Not quite random. PotW Solution. Scanner scan = new Scanner( System.in ); int x = scan.nextInt (); LinkedList <Integer > q = new LinkedList <Integer>(); for ( int i = 0; i < x; i ++ ) q.add ( scan.nextInt () ); int answer = 0; int i = 1; while ( ! q.isEmpty () ) {

349 views • 11 slides