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Monte Carlo option model - A Monte Carlo model, in its most general description, includes any method of estimating a value by the random generation of numbers and statistical principles. As a way of pricing or valuing options, Monte Carlo option models use a pseudo-random sequence, one that will be random enough the simulate a range of outcomes yet deterministic enough to reproduce when necessary.
Monte Carlo method - Monte Carlo methods are a class of computational algorithms for simulating the behavior of various physical and mathematical systems. They are distinguished from other simulation methods (such as molecular dynamics) by being stochastic, that is nondeterministic in some manner - usually by using random numbers (or more often pseudo-random numbers) - as opposed to deterministic algorithms.
Pseudo-random binary sequence - A binary sequence (BS) is a sequence of N bits, aj (j=0,1,...,N-1), i.
Lavarand - Lavarand™ is Silicon Graphics' name for its method of generating pseudo-random numbers out of the patterns made by the floating material in lava lamps.
The NHSE Guide to Random Number Generators - Random number generators and pointers to software at the National HPCC Software Exchange for generating and testing pseudo-random numbers on high-performance computers.
Pseudo Random Number Generators - Algorithms for good random number generators with theoretical discussion and software examples.
Paul Garrett's Crypto and Number Theory Lecture Notes - Introduction to cryptology, number-theory, and algorithms. Protocols. Symmetric versus asymmetric systems. Stream, block ciphers. One-way functions, signatures. Key management. (Pseudo-) random number generation. Permutation groups. Primes, Euclidean algorithm. Finite fields. Quadratic reciprocity. Discrete logs, RSA. Pseudoprimes, rho method. Elliptic curve methods.
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