The Scientific Computing Handbook

Welcome to the Scientific Computing Handbook, your definitive guide to implementing algorithms for scientific computing in C++, Python, and Julia

Get started with the Preliminaries or dive into any section of this guide.

Note

This project is under active development 👷🔨

Contents

• Home
• Preliminaries
  • Introduction
  • Numerical Error
    • IEEE Floating Point Arithmetic
  • Numerical Stability
  • Scaling and Performance
• Data Fitting
  • Motivation
  • Interpolation
  • Linear Least Squares
  • Nonlinear Least Squares