Skip to main content

Worst case analysis and sensitivity studies using Extreme Value and/or Monte Carlo methods.

Project description

worstcase

Overview

pip install worstcase

Worst case analysis and sensitivity studies using Extreme Value and/or Monte Carlo methods.

This package coexists alongside far more capable uncertainty analysis and error propagation packages such as uncertainties (first-order propagation), soerp (second-order propagation), and mcerp (Monte Carlo propagation).

This package is designed for engineering applications where worst case analysis computations are often done using the Extreme Value method over single-valued functions while falling back to the Monte Carlo method when the worst case is known to not exist at the extremes. The Extreme Value method is implemented as a brute-force search; the Monte Carlo method is implemented with Latin Hypercube Sampling over a uniform distribution.

Usage

See the example usage here.

Project details


Download files

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

Source Distribution

worstcase-0.3.1.tar.gz (6.1 kB view details)

Uploaded Source

Built Distribution

worstcase-0.3.1-py3-none-any.whl (6.1 kB view details)

Uploaded Python 3

File details

Details for the file worstcase-0.3.1.tar.gz.

File metadata

  • Download URL: worstcase-0.3.1.tar.gz
  • Upload date:
  • Size: 6.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.6 CPython/3.9.4 Windows/10

File hashes

Hashes for worstcase-0.3.1.tar.gz
Algorithm Hash digest
SHA256 928a66bbc0e479637d4cc3d7c15e22aadfe04307e1024b9bb39dcf03a1a04bbb
MD5 bd4fef10f1e934b6680f65098e277b68
BLAKE2b-256 72b7b50adc8b4e7b3622e4fd1b8956c0c48e359a296d4a80c2f159070aed823f

See more details on using hashes here.

File details

Details for the file worstcase-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: worstcase-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 6.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.6 CPython/3.9.4 Windows/10

File hashes

Hashes for worstcase-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 67231732693ca5f26f36af53f255398ae583b0fb1463ec3125852f9e8a43b4a6
MD5 94474ed9b839dd0c2abe9a23ba65e38d
BLAKE2b-256 a5c3f5457be8e01c6b2119ef0f36a6ab6512ce64f9e4b69d981ca7aaedd120cf

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