L-BFGS Optimizer
optimizer_L_BFGS(numBasis = 10, maxIterations = 10000, armijoConstant = 1e-04, wolfe = 0.9, minGradientNorm = 1e-06, factr = 1e-15, maxLineSearchTrials = 50, minStep = 1e-20, maxStep = 1e+20)
| numBasis | Number of memory points to be stored (default 10) |
|---|---|
| maxIterations | Maximum number of iterations for the optimization (0 means no limit and may run indefinitely) |
| armijoConstant | Controls the accuracy of the line search routine for determining the Armijo condition |
| wolfe | Parameter for detecting the Wolfe condition |
| minGradientNorm | Minimum gradient norm required to continue the optimization |
| factr | Minimum relative function value decrease to continue the optimization |
| maxLineSearchTrials | The maximum number of trials for the line search (before giving up) |
| minStep | The minimum step of the line search |
| maxStep | The maximum step of the line search |