Fundamentals of Numerical Computation

Codes and other resources for the textbook Fundamentals of Numerical Computation.
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Updated 19 Sep 2022
This repo has extra materials for Fundamentals of Numerical Computation, by Driscoll and Braun (1st edition, 2017), an introductory undergraduate textbook. Includes all functions and code examples from the book, data needed for a few exercises, ideas for labs and projects, and slides for aid with teaching.
Book contents:
* Chapter 1: Numbers, problems, and algorithms
* Chapter 2: Square linear systems
* Chapter 3: Overdetermined linear systems
* Chapter 4: Roots of nonlinear equations
* Chapter 5: Piecewise interpolation
* Chapter 6: Initial-value problems
* Chapter 7: Matrix analysis
* Chapter 8: Krylov methods in linear algebra
* Chapter 9: Global function approximation
* Chapter 10: Boundary-value problems
* Chapter 11: Diffusion equations
* Chapter 12: Advection equations
* Chapter 13: Two-dimensional problems

Cite As

Toby Driscoll (2026). Fundamentals of Numerical Computation (https://github.com/tobydriscoll/fnc-extras/releases/tag/v1.0.1), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2016b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
1.0.1

See release notes for this release on GitHub: https://github.com/tobydriscoll/fnc-extras/releases/tag/v1.0.1

1.0.0.0

Slight update to the description.

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.