: Leverages Julia’s Just-In-Time (JIT) compilation and multiple dispatch, teaching students skills directly applicable to modern research and high-performance computing. Comprehensive Course Coverage
by Tobin A. Driscoll and Richard J. Braun. Originally based on MATLAB, this edition teaches numerical methods—like linear algebra and differential equations—using the Julia programming language. fundamentals of numerical computation julia edition pdf
Ordinary differential equations
Interpolation and approximation