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# panic # PANIC
Portable Algorithms and Numerics In C++ **Portable Algorithms and Numerics In C++**
PANIC is a from-scratch C++ foundation for numerical and scientific computing. The goal is not to compete with mature, highly optimized libraries. The goal is to build readable, portable, dependency-light implementations of the core pieces needed for experiments, learning, embedded systems, and scientific code.
PANIC is intentionally written from first principles. Math functions, vector operations, matrix operations, tensor structures, neural-network components, and future simulation tools are implemented directly instead of being wrapped around large external dependencies.
## Goals
* Write clear numerical code that can be understood and modified.
* Keep the core portable and dependency-light.
* Provide optional parallel implementations where useful.
* Build toward embedded and microcontroller-friendly use.
* Support scientific computing experiments from a common foundation.
## Planned modules
* `panic::math` - scalar math, vector operations, matrix operations, tensor operations
* `panic::tensor` - tensor, matrix, and vector data structures
* `panic::random` - random number generation and sampling utilities
* `panic::neural_network` - neural-network layers, activations, losses, and training utilities
* `panic::interpolation` - interpolation of systems
## Philosophy
PANIC exists because sometimes the point is not to use the most convenient tool. Sometimes the point is to understand the tool by rebuilding it.
This project favors clarity, portability, and experimentation over peak performance.
## Status
Early development. Interfaces, file structure, and module names may change frequently.
## License
Private for now. A license will be chosen before public release.