R paralelo: simulación & análisis de datos

Bibliografía

1. Robert I. Kabacoff: Quick-R — Accessing the power of R, 2017.
   http://www.statmethods.net
2. Documentación oficial del paquete parallel, 2016.
   https://stat.ethz.ch/R-manual/R-devel/library/parallel/doc/parallel.pdf
3. Hadley Wickham: Advanced R — Memory, 2014.
   http://adv-r.had.co.nz/memory.html
4. Max Gordon: How-to go parallel in R — basics + tips, 2015.
   https://www.r-bloggers.com/how-to-go-parallel-in-r-basics-tips/
5. Steve Weston & Rich Calaway: Getting started with doParallel and foreach, 2015.
   https://cran.r-project.org/web/packages/doParallel/vignettes/gettingstartedParallel.pdf
6. Eric Weisstein: Cellular Automaton — Wolfram Mathworld, 2017.
   http://mathworld.wolfram.com/CellularAutomaton.html
7. Eric Weisstein: Game of Life — Wolfram Mathworld, 2017.
   http://mathworld.wolfram.com/GameofLife.html
8. Will Kurt: 6 Neat Tricks with Monte Carlo Simulations — Count Bayesie; Probably a probability blog, March 24, 2015.
   https://www.countbayesie.com/blog/2015/3/3/6-amazing-trick-with-monte-carlo-simulations
9. Christian Robert & George Casella: Introducing Monte Carlo Methods with R. Springer, 2010.
   http://www.springer.com/us/book/9781441915757
10. Art B. Owen: Monte Carlo theory, methods and examples, 2013.
    http://statweb.stanford.edu/~owen/mc/
11. Rob Womersley: Local and Global Optimization, 2008.
    http://web.maths.unsw.edu.au/~rsw/lgopt.pdf
12. Kevin Gurney: An Introduction to Neural Networks, 1997.
    https://www.crcpress.com/An-Introduction-to-Neural-Networks/Gurney/p/book/9781857285031