# Computation#

## Input#

The objective function accepts the input described below. Pass the Input ID as a parameter to the methods that provide input for your algorithm. For more details, see Algorithms.

 Input ID Input argument A numeric table of size $$p \times 1$$ with the input argument of the objective function.

## Parameters#

The objective function has the following parameters:

 Parameter Default value Description resultsToCompute gradient The 64-bit integer flag that specifies which characteristics of the objective function to compute. Provide one of the following values to request a single characteristic or use bitwise OR to request a combination of the characteristics: valueValue of the objective function nonSmoothTermValueValue of non-smooth term of the objective function gradientGradient of the smooth term of the objective function hessianHessian of smooth term of the objective function proximalProjectionProjection of proximal operator for non-smooth term of the objective function lipschitzConstantLipschitz constant of the smooth term of the objective function gradientOverCertainFeatureCertain component of gradient vector hessianOverCertainFeatureCertain component of hessian diagonal proximalProjectionOfCertainFeatureCertain component of proximal projection Note On GPU, resultsToCompute only computes value, gradient, and hessian.

## Output#

The objective function calculates the result described below. Pass the Result ID as a parameter to the methods that access the results of your algorithm. For more details, see Algorithms.

 Result ID Result valueIdx A numeric table of size $$1 \times 1$$ with the value of the objective function in the given argument. nonSmoothTermValueIdx A numeric table of size $$1 \times 1$$ with the value of the non-smooth term of the objective function in the given argument. gradientIdx A numeric table of size $$p \times 1$$ with the gradient of the smooth term of the objective function in the given argument. hessianIdx A numeric table of size $$p \times p$$ with the Hessian of the smooth term of the objective function in the given argument. proximalProjectionIdx A numeric table of size $$p \times 1$$ with the projection of proximal operator for non-smooth term of the objective function in the given argument. lipschitzConstantIdx A numeric table of size $$1 \times 1$$ with Lipschitz constant of the smooth term of the objective function. gradientOverCertainFeatureIdx A numeric table of size $$1 \times 1$$ with certain component of gradient vector. hessianOverCertainFeatureIdx A numeric table of size $$1 \times 1$$ with certain component of hessian diagonal. proximalProjectionOverCertainFeatureIdx A numeric table of size $$1 \times 1$$ with certain component of proximal projection.

Note

• If the function result is not requested through the resultsToCompute parameter, the respective element of the result contains a NULL pointer.

• By default, each numeric table specified by the collection elements is an object of the HomogenNumericTable class, but you can define the result as an object of any class derived from NumericTable, except for PackedSymmetricMatrix, PackedTriangularMatrix, and CSRNumericTable.

• Hessian matrix is computed for the objective function $$F(\theta) \in C^2$$. For the objective functions $$F(\theta) \in C^p$$ with $$p < 2$$ the library will stop computations and report the status on non-availability of the computation of the Hessian.

• If Lipschitz constant constantOfLipschitz is not estimated explicitly, pointer to result numeric table is required to be set to nullptr.