Enrico Schumann
NMOF
Numerical Methods and Optimization in Finance
Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). The package provides implementations of optimisation heuristics (Differential Evolution, Genetic Algorithms, Particle Swarm Optimisation, Simulated Annealing and Threshold Accepting), and other optimisation tools, such as grid search and greedy search. There are also functions for the valuation of financial instruments, such as bonds and options, and functions that help with stochastic simulations.
Version: 2.1-0 (2020-02-20)
source files manual NEWS ChangeLog GitLab/GitHub
Vignettes
An Overview of the NMOF PackageFitting the Nelson--Siegel--Svensson model with Differential Evolution
Solving the N-Queens Problem with Local Search
Asset selection with Local Search
Robust Regression with Particle Swarm Optimisation and Differential Evolution
Portfolio Optimisation with Threshold Accepting
Examples for the qTable function
Repairing solutions
Vectorised objective functions
To install the package from a running R session, type:
install.packages('NMOF') ## CRAN
install.packages('NMOF',
repos = c('http://enricoschumann.net/R', getOption('repos')))