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-## Functions
-
-The available constructors are listed in the following tables.
-You can access the specific documentation of each of them from the command line
-of Julia (try typing in `?NormL1`) to have information on their parameters.
-
-### Indicator functions
-
-Name            | Type of set                             | Properties
-----------------|-----------------------------------------|----------------
-`IndAffine`     | Affine subspace                         | convex
-`IndBallLinf`   | L-infinity norm ball                    | convex, separable
-`IndBallL0`     | L0 pseudo-norm ball                     | nonconvex
-`IndBallL1`     | L1 norm ball                            | convex
-`IndBallL2`     | Euclidean ball                          | convex
-`IndBallRank`   | Set of matrices with given rank         | nonconvex
-`IndBinary`     | Indicator of a binary set               | nonconvex, separable
-`IndBox`        | Box                                     | convex, separable
-`IndGraph`      | Indicator of the graph of a linear op.  | convex
-`IndExpPrimal`  | Indicator of (primal) exponential cone  | convex cone
-`IndExpDual`    | Indicator of (dual) exponential cone    | convex cone
-`IndFree`       | Indicator of the free cone              | convex cone, separable
-`IndHalfspace`  | Halfspace                               | convex
-`IndNonnegative`| Nonnegative orthant                     | convex cone, separable
-`IndNonpositive`| Nonpositive orthant                     | convex cone, separable
-`IndPoint`      | Indicator of a singleton                | convex, separable
-`IndPSD`        | Positive semidefinite cone              | convex cone
-`IndSimplex`    | Simplex                                 | convex
-`IndSOC`        | Second-order cone                       | convex cone
-`IndRotatedSOC` | Rotated second-order cone               | convex cone
-`IndSphereL2`   | Euclidean sphere                        | nonconvex
-`IndZero`       | Indicator of the zero singleton         | convex cone, separable
-
-### Norms, pseudo-norms, regularization functions
-
-Name            | Description                         | Properties
-----------------|-------------------------------------|----------------
-`ElasticNet`    | Elastic-net regularization          | convex, separable, gradient
-`NormL0`        | L0 pseudo-norm                      | nonconvex
-`NormL1`        | L1 norm                             | convex, separable, gradient
-`NormL2`        | Euclidean norm                      | convex, gradient
-`NormL21`       | Sum-of-L2 norms                     | convex
-`NormLinf`      | L-infinity norm                     | convex, gradient
-`NuclearNorm`   | Nuclear norm                        | convex
-`SqrNormL2`     | Squared Euclidean norm              | convex, separable, gradient
-
-### Penalties and other functions
-
-Name            | Description                         | Properties
-----------------|-------------------------------------|-----------------
-`HingeLoss`     | Hinge loss function                 | convex, separable, gradient
-`HuberLoss`     | Huber loss function                 | convex, gradient
-`LogBarrier`    | Logarithmic barrier                 | convex, separable, gradient
-`LeastSquares`  | Sum-of-residual-squares             | convex, gradient
-`Maximum`       | Maximum coordinate of a vector      | convex
-`Linear`        | Linear function                     | convex, separable, gradient
-`Quadratic`     | Quadratic function                  | convex, gradient
-`SumPositive`   | Sum of the positive coefficients    | convex, gradient
-
-### Distances
-
-Name            | Description                                          | Properties
-----------------|------------------------------------------------------|----------------
-`DistL2`        | Euclidean distance from a convex set                 | convex, gradient
-`SqrDistL2`     | Squared Euclidean distance from a convex set         | convex, gradient
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-## TODO
-
-### General
-
-* Tests should be reorganized.
-
-### Functions
-
-* Indicator of L1 norm ball. (TODO: faster projection [Duchi et al. 2008](http://dl.acm.org/citation.cfm?id=1390191) or [Condat 2016](http://link.springer.com/article/10.1007/s10107-015-0946-6).)
-* Sum of k-largest components. (TODO: fix, see [sumLargest.jl](https://github.com/kul-forbes/ProximalOperators.jl/blob/master/src/functions/sumLargest.jl).)
-* Ky-Fan (k)-norms. (Should be easy once one has the previous.)
-* Iterative `prox!` for `LeastSquares`: a new type `LeastSquaresIterative`.
-* Iterative `prox!` for `IndAffine`: a new type `IndAffineIterative`.
-* Iterative `prox!` for generic smooth functions: this could be a type `IterativeProx` which wraps a given smooth function `f` and uses the best suited iterative method to compute `prox!`, for example based on the functions properties (is `f` quadratic? Yes: CG, No: nonlinear CG). Should `LeastSquares` and `Quadratic` be included in this more general case case?
-
-### Calculus rules
-
-* Epi-composition. (See [epicompose.jl](https://github.com/kul-forbes/ProximalOperators.jl/blob/master/src/calculus/epicompose.jl).)