Numerical Linear Algebra
Notes
Practical matrix computations and numerical realities.
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Practical matrix computations and numerical realities.
Broad coverage of numerical algorithms in science and engineering. Classic cross-topic numerical algorithms.
Definitive reference on modern ODE solvers and stiff systems.
Three approaches to computing derivatives—forward-mode AD, reverse-mode AD, and finite differences—each with different trade-offs. Understanding when to use each is essential for numerical computing and machine learning.
Numerical integration demonstrates both classical numerical analysis and Stepanov's philosophy: by identifying the minimal algebraic requirements, our quadrature routines work with dual numbers for automatic differentiation under the integral.
The art of numerical differentiation lies in choosing step size h wisely—small enough that the approximation is good, but not so small that floating-point errors dominate.
This is a problem set for STAT 575 - Computational Statistics at SIUe. These problem sets were given by Dr. Qiang Beidi, a professor in the Department of Mathematics and Statistics at Southern Illinois University Edwardsville (SIUe) during the Summer …