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Eigen

Utility

High-performance linear algebra library for C++

→ Stable

Features

linear-algebramatrixmathheader-only

Pros and Cons

Ventajas

  • + Header-only (easy integration)
  • + Optimized with automatic SIMD
  • + Expressive Matlab-style API
  • + Used in TensorFlow, ROS, etc.
  • + Excellent documentation

Desventajas

  • - Long compilation times
  • - Error messages can be cryptic
  • - Learning curve for advanced templates
  • - Slow debug builds

Use Cases

  • Machine learning and deep learning
  • Robotics and computer vision
  • Physics simulations
  • 3D graphics and game engines
  • Signal processing

Tecnologías Relacionadas

Compatible with

Related