Package parsimony :: Package datasets :: Package simulate :: Module grad :: Class SmoothedTotalVariation

Class SmoothedTotalVariation

  object --+        
           |        
    Function --+    
               |    
NesterovFunction --+
                   |
                  SmoothedTotalVariation

Instance Methods

[hide private]

__init__(self, l, A, mu=5e-08)
x.__init__(...) initializes x; see help(type(x)) for signature

source code

grad(self, x)
Gradient of the function

source code

project(self, alpha)
Projection onto the compact space of the smoothed TV function.

source code

Inherited from NesterovFunction: alpha, smoothed_grad

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__, __subclasshook__

Class Variables

[hide private]

Inherited from NesterovFunction: __abstractmethods__, __metaclass__

Inherited from Function (private): _abc_cache, _abc_negative_cache, _abc_negative_cache_version, _abc_registry

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

init(self, l, A, mu=5e-08)
(Constructor)

source code

x.__init__(...) initializes x; see help(type(x)) for signature

Overrides: object.__init__: (inherited documentation)

grad(self, x)

source code

Gradient of the function

    f(x) = TV(mu, x),

where TV(mu, x) is the Nesterov smoothed total variation function.

Overrides: Function.grad

project(self, alpha)

source code

Projection onto the compact space of the smoothed TV function.

Overrides: NesterovFunction.project

Class SmoothedTotalVariation

__init__(self, l, A, mu=5e-08) (Constructor)

grad(self, x)

project(self, alpha)

init(self, l, A, mu=5e-08)
(Constructor)