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

Class NesterovFunction

object --+    
         |    
  Function --+
             |
            NesterovFunction

Known Subclasses:

Instance Methods

[hide private]

__init__(self, l, A, mu=5e-08, rng=RandomUniform(-1,1), norm=<unbound method L2.grad>, **kwargs)
x.__init__(...) initializes x; see help(type(x)) for signature

source code

grad(self, x)

source code

smoothed_grad(self, x)

source code

alpha(self, x)
Dual variable of the Nesterov function.

source code

project(self, alpha)

source code

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

Class Variables

[hide private]

__metaclass__ = abc.ABCMeta
Metaclass for defining Abstract Base Classes (ABCs).

__abstractmethods__ = frozenset([])

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, rng=RandomUniform(-1,1), norm=<unbound method L2.grad>, **kwargs)
(Constructor)

source code

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

Overrides: object.__init__: (inherited documentation)

grad(self, x)

source code

Overrides: Function.grad

Class NesterovFunction

__init__(self, l, A, mu=5e-08, rng=RandomUniform(-1,1), norm=<unbound method L2.grad>, **kwargs) (Constructor)

grad(self, x)

init(self, l, A, mu=5e-08, rng=RandomUniform(-1,1), norm=<unbound method L2.grad>, **kwargs)
(Constructor)