微分積分:Calculus

python

Rescaling of Newton’s method

Rescaling of Newton's method Rescaling in Newtonian methods is one of the methods used in numerical optimisatio...
python

How to improve linear convergence in Newton’s method

How to improve linear convergence in Newton's method The Newton method, also described in ‘Overview of the Newt...
python

Overview of the Natural Gradient Method and Examples of Algorithms and Implementations

Overview of Natural Gradient Method Natural Gradient Descent is a type of Stochastic Gradient Descent (SGD) des...
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Riemannian optimisation algorithms and implementation examples

Riemannian optimisation Riemannian Optimisation (Riemannian Optimisation) is an approach where the usual optimi...
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Overview of Stochastic Gradient Descent (SGD), its algorithms and examples of implementation

Overview of Stochastic Gradient Descent, SGD Stochastic Gradient Descent (SGD) is one of the optimization algori...
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Quasi-Newton Method

Overview of Quasi-Newton Method The Quasi-Newton Method (Quasi-Newton Method) is one of the iterative methods f...
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Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method

Overview of Limited-memory Broyden–Fletcher–Goldfarb–Shanno(L-BFGS)method The Limited-memory Broyden-Fletcher-G...
グラフ理論

What is information geometry?

What is the essence of information geometry? Information geometry is a field that studies the geometrical struc...
アルゴリズム:Algorithms

The vanishing gradient problem and its countermeasures

Overview of vanishing gradient problem The Vanishing Gradient Problem is one of the problems that occurs mainly...
python

Newton-Raphson Method

Overview of Newton-Raphson Method The Newton-Raphson Method is one of the iterative methods for numerical solut...
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