floating-point-analysis
SolidRigorous floating-point error analysis
AI & Automation 1,160 stars
71 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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