ADFWI Homepage

Welcome to the ADFWI homepage! This repository provides an advanced framework for Automatic Differentiation-Based Full Waveform Inversion. Below are the main sections of the documentation:

ADFWI Documentation

• Overview
  • Introduction
  • Features
  • Installation
• Tutorial
  • Automatic Differentiation
  • Wave Equations
  • Objective Functions
  • Optimization Methods
  • Regularization Methods
  • Deep Reparameterization
• Examples
  • Basic Examples
  • Advanced Examples
• API
  • ADFWI.propagator
  • ADFWI.model
  • ADFWI.fwi
  • ADFWI.survey
  • ADFWI.dip
  • ADFWI.utils
  • ADFWI.view

Explore the resources below to get started:

• README: An introduction to ADFWI, installation instructions, and basic usage.

• Tutorials: Step-by-step guides on ADFWI’s core functionalities, basic principles, and dependencies, helping users understand the underlying principles of acoustic and elastic FWI models and how to apply them.

• Examples: Practical examples covering various case studies of acoustic and elastic inversion.

• API Reference: A detailed guide to the ADFWI functions and classes.

🚀 Contact

• Author: Liu Feng (Shanghai Jiao Tong University)

• GitHub Repository: https://github.com/liufeng2317/ADFWI

• Email: liufeng2317@sjtu.edu.cn

Feel free to reach out if you have any questions or feedback about the ADFWI framework!