tfmri.convex¶

Convex optimization operations.

Classes¶

`ConvexFunction`	Base class defining a [batch of] convex function[s].
`ConvexFunctionAffineMappingComposition`	Composes a convex function and an affine mapping.
`ConvexFunctionIndicatorBall`	A `ConvexFunction` representing the indicator function of an Lp ball.
`ConvexFunctionIndicatorL1Ball`	A `ConvexFunction` representing the indicator function of an L1 ball.
`ConvexFunctionIndicatorL2Ball`	A `ConvexFunction` representing the indicator function of an L2 ball.
`ConvexFunctionL1Norm`	A `ConvexFunction` computing the [scaled] L1-norm of a [batch of] inputs.
`ConvexFunctionL1Wavelet`	A `ConvexFunction` representing an L1 wavelet regularization term.
`ConvexFunctionL2Norm`	A `ConvexFunction` computing the [scaled] L2-norm of a [batch of] inputs.
`ConvexFunctionL2NormSquared`	A `ConvexFunction` computing the [scaled] squared L2-norm of an input.
`ConvexFunctionLeastSquares`	A `ConvexFunction` representing a least squares function.
`ConvexFunctionLinearOperatorComposition`	Composes a convex function and a linear operator.
`ConvexFunctionNorm`	A `ConvexFunction` computing the [scaled] Lp-norm of a [batch of] inputs.
`ConvexFunctionQuadratic`	A `ConvexFunction` representing a generic quadratic function.
`ConvexFunctionTikhonov`	A `ConvexFunction` representing a Tikhonov regularization term.
`ConvexFunctionTotalVariation`	A `ConvexFunction` representing a total variation regularization term.

Applies the ADMM algorithm to minimize a separable convex function.