floating-point-analysis

Solid

Rigorous floating-point error analysis

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Floating-Point Analysis ## Purpose Provides rigorous floating-point error analysis capabilities for numerical algorithm verification and accuracy assessment. ## Capabilities - IEEE 754 arithmetic modeling - Roundoff error accumulation tracking - Interval arithmetic computation - Arbitrary precision arithmetic - Numerical condition number computation - Error bound derivation ## Usage Guidelines 1. **Error Modeling**: Model floating-point operations precisely 2. **Interval Arithmetic**: Use interval bounds for guaranteed accuracy 3. **High Precision**: Employ arbitrary precision for validation 4. **Error Bounds**: Derive forward and backward error bounds ## Tools/Libraries - MPFR - Arb - Herbie - FPBench

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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