Question 1

How to install mrMath in Delphi?

Accepted Answer

Add the src directory to your library search path, compile the mrMath package, and optionally install the mrMathIDE package for IDE support, as outlined in the README. Ensure your Delphi version is compatible (2010 to 13.0).

Question 2

mrMath vs NumPy for numerical computing?

Accepted Answer

mrMath is tailored for Object Pascal users, offering optimized kernels and cross-platform support, while NumPy is Python-based with a vast ecosystem. Choose mrMath if you're locked into Pascal; otherwise, NumPy provides more features and community.

Question 3

How to perform PCA with mrMath?

Accepted Answer

Include the PCA.pas unit, create a TDoubleMatrix with your data, and use the PCA methods demonstrated in the example projects. Check the inline documentation in the unit for specific function calls.

Question 4

Does mrMath support GPU acceleration?

Accepted Answer

No, the README focuses on CPU optimizations like AVX and multi-threading, with no mention of GPU support. It's designed for CPU-bound numerical tasks.

Question 5

Is mrMath suitable for real-time signal processing applications?

Accepted Answer

It includes signal processing tools like wavelets and SSA, but performance depends on your hardware and implementation. Test with your specific use case, as real-time guarantees aren't explicitly addressed.

Question 6

How to contribute to mrMath?

Accepted Answer

Fork the repository, make changes in a topic branch, and submit a pull request. Follow the guidelines in the README, such as adding tests and noting compiler-specific conditionals.

mrMath

Overview

Use Cases

Not Ideal For

Pros & Cons

Pros

Related Projects

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Cons

Frequently Asked Questions