Monte Carlo methods are useful in a wide variety of applications especially where a deterministic solution may be difficult or impossible to compute. In our class we specifically used it to do numerical integration but it can be used in areas are varied as finance or graphics. Despite their flexibility, MC methods can require many […]
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Latin Hypercube Sampling: Quicker Monte Carlo Simulations
Monday, April 28th, 2008 9:24 pm
Written by: ramuski
Arbitrary Precision Mathematics
Tuesday, April 8th, 2008 9:50 pm
Written by: ramuski
In our class we have talked about single and double precision mathematics floating point numbers and how these are stored. Another class of computer numbers also exist called arbitrary precision numbers. These are unique in that they allow the user to specify how many digits of precision they would like stored.
Regular single and doubles precision […]
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Iterative Methods: When matrices need to be approximated
Monday, March 10th, 2008 11:24 pm
Written by: ramuski
In class recently we have talked about various methods such as LU factorization and Cholesky factorization that allow us to solves equations of the form Ax = b. These systems of linear equations arise in domains as varied as biology and engineering to finance. Newton’s method is a common application that requires solving such equations […]
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