LBFGSLineSearchIncomplete

scalation.optimization.quasi_newton.LBFGSLineSearchIncomplete
case class LBFGSLineSearchIncomplete(variableValues: VectorD, functionValue: Double)

The LBFGSLineSearchIncomplete case class describes the incomplete optimization results obtained before an error occurred in the execution of a line search algorithm in the native implementation of the L-BFGS algorithm. This information might be useful for the user to determine the effectiveness of a certain line search algorithm before an error occurred.

Value parameters

functionValue

Objective function value for the variable values obtained after applying the best step found for the searched line before the occurrence of an error in the line search algorithm.

variableValues

VectorD containing the values of the variables after applying the best step found for the searched line before the occurrence of an error in the line search algorithm.

Attributes

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Supertypes
trait Serializable
trait Product
trait Equals
class Object
trait Matchable
class Any
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Members list

Value members

Inherited methods

def productElementNames: Iterator[String]

Attributes

Inherited from:
Product
def productIterator: Iterator[Any]

Attributes

Inherited from:
Product