python

python

Overview of Singular Value Decomposition (SVD) and examples of algorithms and implementations.

Overview of Singular Value Decomposition (SVD) Singular Value Decomposition (SVD) is a method of decomposing a...
python

Overview of Interaction Networks used in physical simulation and examples of related algorithms and implementations.

Overview of Interaction Networks used for physical simulation. Interaction Networks (INs) will be a networ...
python

Overview of Graph Network-based Simulators and examples of algorithms and implementations.

Overview of Graph Network-based Simulators Graph Network-based Simulators (GNS) provide a powerful tool fo...
python

Overview of GraphNetworks used for physics simulation, algorithms and examples of implementation.

Overview of GraphNetworks used for physics simulation. The application of Graph Networks in physical simul...
python

Overview of Physically Informed Neural Networks (PINNs) and examples of algorithms and implementations.

Physical Informed Neural Networks (PINNs) Overview Physically Informed Neural Networks (PINNs) are a com...
python

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...
python

Overview of MeshGraphNets, algorithms and implementation examples.

Overview of MeshGraphNets MeshGraphNets are a type of graph neural network (GNN) specialising in physical ...
python

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...
python

Overview of the Gauss-Zeidel method and examples of algorithms and implementations

Overview of the Gauss-Zeidel method. The Gauss-Zeidel method is one of the iterative methods for finding soluti...
python

Overview and implementation examples of multi-agent systems based on deep reinforcement learning (DRL).

  Multi-agent systems with deep reinforcement learning (DRL). There are several methods for implementing mult...
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