Pre-release Linear Algebra Operations for C++

Introducing a versatile and user-friendly set of C++ headers to simplify linear algebra computations for developers and researchers. These headers are crafted with modern C++ practices to ensure compatibility and ease of use across a variety of applications, including scientific computing, graphics, and machine learning.

Key Features:

Comprehensive Vector and Matrix Support: Includes operations for vectors, matrices, and higher-dimensional tensors with clear, intuitive syntax.
Built-in Operations: Offers a wide range of functionalities such as dot product, cross product, matrix multiplication, inversion, and decomposition techniques.
Template-Based Implementation: Supports flexible data types through templates, allowing customization for different numerical precisions or user-defined types.
Error Handling: Features robust error-checking with meaningful exception messages to simplify debugging and integration.
Extensibility: Modular and adaptable design, enabling easy addition of custom operations tailored to specific needs.
Target Users:
Whether you're a developer working on simulations, a student exploring linear algebra concepts, or a professional in data-intensive fields, these headers are designed to streamline your workflow and make integrating linear algebra operations straightforward.