MADNESS
A high-level environment for solving integral and differential equations in many dimensions using adaptive, fast methods with guaranteed precision.
What is MADNESS?
MADNESS is a parallel numerical computing framework for solving integral and differential equations in multiple dimensions using adaptive methods with guaranteed precision. It combines a high-performance parallel runtime with numerical tools and domain-specific applications for scientific simulations. The framework enables researchers to tackle complex problems in fields like chemistry, physics, and material science with reliable accuracy.
Computational scientists and researchers working in chemistry, physics, material science, or nuclear structure who need to solve high-dimensional integral or differential equations with precision guarantees. Developers building scientific simulation software requiring parallel scalability.
MADNESS offers unique guaranteed precision through multi-resolution analysis while providing high-level abstractions that simplify parallel scientific computing. Its combination of performance, scalability, and Python accessibility makes it stand out from general-purpose numerical libraries.
Overview
Multiresolution Adaptive Numerical Environment for Scientific Simulation
Use Cases
Best For
- Solving high-dimensional integral equations with adaptive precision
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