Numerical Recipe for Julia Programming Language
This is NOT a package but a code-collection repository.
This repository contains pure Julia Language solutions to a number of numerical computing problems. The algorithms coded are either from coursebooks for numerical analysis, math modeling or inspired by other blocks of codes from Matlab/Mathematica forums, SF, and some C++ and Fortran Recipes.
However, it is worth notice that this repo of JL code is, or aimed to be, more Julian, that is, I would explore some new syntax possibilities, including heavy use of broadcasting (through map() or broadcast funciton.(object) ), function-scoping, and examples for distributed acceletation may be added later.
Specifically you would see how compact certain code can be written in JuliaLang - as compared to other languages. Arguably, compactness has cons, for which you may modify and make a pull request to make it CONCISE!
-- well, can't remember where I learned them, though.
K. Wei Introduction to Julia Programming, China Machine Press
If you are unfamiliar with Julia,see this link
Timothy Sauer Numerical Analysis Person(2012)
Anne Greenbaum, Timothy P.Chartier Numerical Methods, Design, Analysis, and Computer Implication of Algorithms, Princeton University Press(2012)
MatLab Optimization Algorithm
Modern Computing Methods
Most usually they are from my previous repositories.
See 'optimization'
See 'optimization'
Math Modeling 4th. Ed