class_docstr: Wrapper for l-bfgs-b to use the true or the approximate gradients.
class_docstr_tok: ["Wrapper","for","l-bfgs-b","to","use","the","true","or","the","approximate","gradients","."]
code: def __init__(self, bounds, maxiter=1000):
      super(OptLbfgs, self).__init__(bounds)
      self.maxiter = maxiter
  
imports: import numpy
  from ..core.errors import InvalidVariableNameError
label_desc: Use image node_id 1 to create a new OptLbfgs object from inherited base classes: Optimizer with example: obj = OptLbfgs(bounds, maxiter)