Skip to main content

GPU-accelerated Fourier modal method with automatic differentiation

Project description

The author of this package has not provided a project description

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

torcwa-0.1.4.2-py3-none-any.whl (14.2 kB view details)

Uploaded Python 3

File details

Details for the file torcwa-0.1.4.2-py3-none-any.whl.

File metadata

  • Download URL: torcwa-0.1.4.2-py3-none-any.whl
  • Upload date:
  • Size: 14.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.7

File hashes

Hashes for torcwa-0.1.4.2-py3-none-any.whl
Algorithm Hash digest
SHA256 a82fc10a7cb6d1e3e157bb2bdd80dd3839773aa3812a98d5d66bec517f391d02
MD5 79f7d4399ae96527793239d708a31e1e
BLAKE2b-256 534a8d1f10b916c9ac0b675ce3ac1e2f9c8852ebdf4eb1aa02b2f1d34a0e1faf

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page