Package | Description |
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gov.sandia.cognition.learning.algorithm.minimization.line |
Provides line (scalar) minimization algorithms.
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Modifier and Type | Class and Description |
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class |
DirectionalVectorToDifferentiableScalarFunction
Creates a truly differentiable scalar function from a differentiable Vector
function, instead of using a forward-differences approximation to the
derivative like DirectionalVectorToScalarFunction does.
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Modifier and Type | Method and Description |
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DirectionalVectorToScalarFunction |
DirectionalVectorToScalarFunction.clone() |
Modifier and Type | Method and Description |
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WeightedInputOutputPair<Vector,java.lang.Double> |
AbstractAnytimeLineMinimizer.minimizeAlongDirection(DirectionalVectorToScalarFunction function,
java.lang.Double functionValue,
Vector gradient) |
WeightedInputOutputPair<Vector,java.lang.Double> |
LineMinimizer.minimizeAlongDirection(DirectionalVectorToScalarFunction function,
java.lang.Double functionValue,
Vector gradient)
Minimizes a Vector function along the direction given by the
DirectionalVectorToScalarFunction.
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Constructor and Description |
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DirectionalVectorToScalarFunction(DirectionalVectorToScalarFunction other)
Copy constructor
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