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Video Tutorials

Learn how to master sci-math-wasm with our step-by-step video guides.

1. Getting Started (3:45)

A quick introduction to installing the library and running your first WASM-accelerated computation.

  • Installation via npm/pnpm/yarn
  • Configuring the WASM provider
  • Basic signal processing example
  • Difference between SciMathJS and SciEngine

[!VIDEO https://www.youtube.com/embed/placeholder1]


2. Advanced Matrix Operations (5:20)

Deep dive into linear algebra and the Cache-Oblivious Tiled Matrix Multiplication.

  • Creating matrices from flat arrays
  • Understanding row-major vs column-major
  • Solving linear systems
  • Eigenvalue decomposition

[!VIDEO https://www.youtube.com/embed/placeholder2]


3. High-Performance Signal Analysis (7:15)

Learn how to build a real-time signal analyzer using the parallel processing capabilities of sci-math-wasm.

  • FFT and Spectrum analysis
  • Savitzky-Golay smoothing
  • Peak detection with prominence
  • Real-time performance optimization

[!VIDEO https://www.youtube.com/embed/placeholder3]


4. Migration from NumPy/SciPy (4:30)

Transition your Python research code to the web seamlessly.

  • Mapping NumPy functions to sci-math-wasm
  • Differences in memory layout
  • Achieving 10x speedup over standard JS

[!VIDEO https://www.youtube.com/embed/placeholder4]

Integrated under the VeloSci Ecosystem