nloptr-package |
R interface to NLopt |
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 |
DIviding RECTangles Algorithm for Global Optimization |
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.jacobian |
Numerical Gradients and Jacobians |
nl.opts |
Setting NL Options |
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 |