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, for portfolio selection and functions that help
  with stochastic simulations.
| Version: | 2.11-0 | 
| Depends: | R (≥ 3.5) | 
| Imports: | grDevices, graphics, parallel, stats, utils | 
| Suggests: | MASS, PMwR, RUnit, Rglpk, datetimeutils, openxlsx, quadprog, readxl, tinytest, zoo | 
| Published: | 2025-10-20 | 
| DOI: | 10.32614/CRAN.package.NMOF | 
| Author: | Enrico Schumann  [aut, cre] | 
| Maintainer: | Enrico Schumann  <es at enricoschumann.net> | 
| License: | GPL-3 | 
| URL: | https://enricoschumann.net/NMOF.htm , https://gitlab.com/NMOF ,
https://git.sr.ht/~enricoschumann/NMOF ,
https://github.com/enricoschumann/NMOF | 
| NeedsCompilation: | no | 
| Classification/JEL: | C61, C63 | 
| Citation: | NMOF citation info | 
| Materials: | README, NEWS | 
| In views: | Finance, Optimization, ReproducibleResearch | 
| CRAN checks: | NMOF results | 
Documentation:
| Reference manual: | NMOF.html ,  NMOF.pdf | 
| Vignettes: | An Overview of the NMOF Package (source, R code) Fitting the Nelson–Siegel–Svensson model with Differential Evolution (source, R code)
 Solving the N-Queens Problem with Local Search (source, R code)
 Asset selection with Local Search (source, R code)
 Robust Regression with Particle Swarm Optimisation and Differential Evolution (source, R code)
 Portfolio Optimisation with Threshold Accepting (source, R code)
 Functions for portfolio selection (source, R code)
 Examples for the qTable function (source, R code)
 Repairing solutions (source, R code)
 Vectorised objective functions (source, R code)
 
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