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reduction-method-for-fully-nonlinear-pdes

https://github.com/arashfahim/reduction-method-for-fully-nonlinear-pdes

Science Score: 36.0%

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    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
    Links to: arxiv.org
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    Scientific vocabulary similarity
    Low similarity (3.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: arashfahim
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 181 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created almost 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme Citation

README.md

This repository runs the code for solving fully nonlinear PDEs through gradient ascent implementation on the semilinear PDEs. To run the code use python 3.12.4 on main.py The supporting files that need to be in the same folder as main.py are: equation.py coeff.py samplepath.py functions.py derivation.py neuralnets.py visuals.py

A correszponding paper can be found at https://arxiv.org/abs/2406.06787

Owner

  • Login: arashfahim
  • Kind: user

GitHub Events

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Last Year
  • Issue comment event: 1
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