def solve(f, Df, x):
lmData = limitedMemory.LmData(x.shape[0], parameters.memory)
return regularization.genericMonotone(lmData, updateLmData, calculateStep,
f, Df, x)
def solve(f, Df, x):
"""Monotone L-BFGS algorithm with Armijo line search."""
lmData = limitedMemory.LmData(x.shape[0], parameters.memory)
return linesearch.genericMonotone(lmData, updateLmData, inverseBFGS, armijo, f, Df, x)
def solveNonmonotone(f, Df, x):
"""Nonmonotone L-BFGS algorithm with Wolfe line search."""
lmData = limitedMemory.LmData(x.shape[0], parameters.memory)
return linesearch.genericNonmonotone(lmData, updateLmData, inverseBFGS, wolfe, f, Df, x)