Class

toolkit.solvers

LineSearchFISTASolver

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class LineSearchFISTASolver extends AnyRef

A solver for finding the minimum of a separable convex function f which is minimized with a gradient step followed by a proximal map. The method is outlined in:

Beck, A. and M. Teboulle (2009). "A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems." SIAM J. Img. Sci. 2(1): 183-202.

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Instance Constructors

  1. new LineSearchFISTASolver(grad: (FieldArray) ⇒ FieldArray, projection: ProjectionFunction, x0: FieldArray, stepSize: Float, iterations: Int)

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    grad

    the differentiable portion of the loss function f

    projection

    proximal map for dealing with the non-differentiable portion

    x0

    the initial guess

    stepSize

    parameter for scaling step distance

    iterations

    number of iterations to perform

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  4. def apply(grad: (FieldArray) ⇒ FieldArray, projection: ProjectionFunction, x0: FieldArray, stepSize: Float, iterations: Int): FieldArray

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