The modified Newton method
Overview of Modified Newton Method
The Modified Newton Method is an algorithm developed to improve the regular ...
微分積分:Calculus
Temporal Fusion Transformer overview, algorithms and implementation examples.
Overview of Temporal Fusion Transformer
The Temporal Fusion Transformer (TFT) is a deep learning model d...
Sequential Secondary Planning Method
Overview of Sequential Secondary Planning Method
Sequential Quadratic Programming (SQP) is an iterative optimiz...
Overview of the Frank-Wolff method and examples of its application and implementation.
Overview of the Frank Wolff method
The Frank-Wolfe method is a numerical algorithm for solving non-linear optim...
Overview of the Frobenius norm and examples of algorithms and implementations
Overview of the Frobenius norm.
The Frobenius norm is a type of matrix norm and will be defined as the...
Overview of Kronecker-factored Approximate Curvature (K-FAC) matrix and related algorithms and implementation examples
Overview of Kronecker-factored Approximate Curvature（K-FAC）
Kronecker-factored Approximate Curvature (K-FAC) is...
Overview of the trace norm and related algorithms and implementation examples
Trace norm overview
The trace norm (or nuclear norm) is a type of matrix norm, which can be defined as...
Overview of Bayesian Neural Networks and Examples of Algorithms and Implementations
Bayesian Neural Networks
Bayesian neural networks (BNNs) are architectures that integrate probabilistic el...
Overview of the finite volume method and related algorithms and implementation examples.
Overview of the finite volume method.
The Finite Volume Method (FVM) is one of the numerical solution me...
Overview of the finite element method and examples of algorithms and implementations.
Overview of the finite element method.
The Finite Element Method (FEM) is a method for numerically analy...