Dilmanc
Dilmanc is an open-source automatic differentiation software library for C and C++ programs. It allows users to numerically evaluate derivatives of C/C++ functions for applications such as gradient-based optimization and sensitivity analysis, without needing to derive and impleme
c
numerical-optimization
gradientbased-optimization
sensitivity-analysis
Dilmanc: Open-Source Automatic Differentiation Software Library
Dilmanc is an open-source automatic differentiation software library for C and C++ programs, allowing numerical evaluation of derivatives for applications like gradient-based optimization and sensitivity analysis without analytical derivative implementation.
What is Dilmanc?
Dilmanc is an open-source automatic differentiation (AD) software library that numerically evaluates derivatives of C and C++ programs. It works by overloading mathematical operations and functions in C/C++ code to propagate derivative values using the rules of differential calculus.
Key features and capabilities of Dilmanc include:
- Supports reverse mode AD for efficiently calculating gradients
- Handles C and C++ code, including templates and overloaded functions
- Easy to integrate with existing code by including the Dilmanc header file
- Can be used to calculate 1st, 2nd, ..., Nth order derivatives
- Enables applications such as numerical optimization, sensitivity analysis, and more
By automatically generating derivative code at compile-time, Dilmanc frees users from having to derive and implement analytical Jacobians and Hessians manually. This improves developer productivity and makes numerical methods that use derivatives more accessible. As an open-source library, Dilmanc can help lower the barriers to adopting AD across science and industry.
Dilmanc Features
Features
- Automatic differentiation of C/C++ functions
- Numerical evaluation of derivatives
- Supports reverse and forward mode AD
- Header-only library
- Open source
Pricing
- Open Source
Pros
Eases implementation of derivatives
Enables gradient-based optimization
Performs well for large scale programs
Easy to integrate into existing C/C++ code
Free and open source
Cons
Limited documentation
Steep learning curve
Less flexible compared to AD tools for Python/R
Only supports C/C++ programs
Lacks some advanced AD features
Official Links
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