All functions

auglag()

Augmented Lagrangian Algorithm

bobyqa()

Bound Optimization by Quadratic Approximation

ccsaq()

Conservative Convex Separable Approximation with Affine Approximation plus Quadratic Penalty

check.derivatives()

Check analytic gradients of a function using finite difference approximations

cobyla()

Constrained Optimization by Linear Approximations

crs2lm()

Controlled Random Search

direct() directL()

DIviding RECTangles Algorithm for Global Optimization

is.nloptr()

R interface to NLopt

isres()

Improved Stochastic Ranking Evolution Strategy

lbfgs()

Low-storage BFGS

mlsl()

Multi-level Single-linkage

mma()

Method of Moving Asymptotes

neldermead()

Nelder-Mead Simplex

newuoa()

New Unconstrained Optimization with quadratic Approximation

nl.grad()

Numerical Gradients and Jacobians

nl.opts()

Setting NL Options

nloptr-package

R interface to NLopt

nloptr()

R interface to NLopt

nloptr.get.default.options()

Return a data.frame with all the options that can be supplied to nloptr.

nloptr.print.options()

Print description of nloptr options

print(<nloptr>)

Print results after running nloptr

sbplx()

Subplex Algorithm

slsqp()

Sequential Quadratic Programming (SQP)

stogo()

Stochastic Global Optimization

tnewton()

Preconditioned Truncated Newton

varmetric()

Shifted Limited-memory Variable-metric