2024年11月27日 · This tutorial extends the previous 1D wave equation example and solve a 2D seismic wave propagation problem commonly used in seismic surveying. In this tutorial, you will learn the following: How to solve a 2D time-dependent problem in Modulus Sym. How to define an open boundary condition using custom equations

2015年1月10日 · Symlet小波系通常表示为symN (N=2,3,…,8)。 sym N 小波的支撑范围为2N-1，消失矩为N，同时也具备较好的正则性。 该小波与db N 小波相比，在连续性、支集长度、滤波器长度等方面与db N 小波一致，但sym N 小波具有更好的对称性，即一定程度上能够减少对信号 …

This tutorial, walks you through the process of setting up a custom PDE in Modulus Sym. It demonstrates the process on a time-dependent, simple 1D wave equation problem. It also shows how to solve transient physics in Modulus Sym. In this tutorial you will learn the following:

Framework providing pythonic APIs, algorithms and utilities to be used with Modulus core to physics inform model training as well as higher level abstraction for domain experts - NVIDIA/modulus-sym

2016年12月1日 · wavedec ()函数完成1D多阶次离散小波分解，返回系数数组list， [cAn, cDn, cDn-1, …, cD2, cD1]，n为分解阶次，cAn是逼近系数数组，后面的依次是细节系数数组。 wavelet: 可以是来自wavelist ()的小波名称，也可以是Wavelet对象。 level: 分解阶次。 使用dwt_max_level（）时，计算信号能达到的最高分解阶次。

2024年11月27日 · Modulus Sym provides both physics-informed and data-driven machine learning solutions for physics simulation problems. All these solutions depend on expressing the physics problem as a mathematical optimization problem.

It is froked from the Mudulus-Sym-examples with additional code attached so you can create your own dataset using the additional code and Devito library. Features ️ Use the Neural Network and CUDA Toolkits to solve the wave equation;

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