Library resources can be used to find background information for numerical modeling applications. The Sandor Teszler Library provides access to a variety of sources, including academic journals, books, and databases that cover mathematical theories, computational methods, and real-world problem-solving.
Using the library’s ebook databases, Ebook Central and EBSCOhost Ebooks, you can search for your chosen numerical modeling concept and its applications. Enter keywords related to your concept, such as "Runge-Kutta" or "Singular Value Decomposition" to quickly find relevant materials. Library resources can provide insights into how these methods are applied in fields like physics, finance, and engineering to solve complex problems.
Here are some examples of library resources found in library databases.
Control theoretic splines : optimal control, statistics, and path planning by 
Splines and Compartment Models by 
Solving Ordinary Differential Equations in Python by 
Strong stability preserving Runge-Kutta and multistep time discretizations by 
Advanced Numerical and Semi-Analytical Methods for Differential Equations by 
Numerical Methods for Ordinary Differential Equations by 
Global Optimization Methods in Geophysical Inversion by 
Nonlinear Parameter Optimization Using R Tools by 
Exploring Linear Algebra by 
Numerical Methods for Linear Control Systems by 
An Introduction to Numerical Analysis by Numerical Methods for Linear Control Systems by 
Introduction to the Numerical Solution of Markov Chains by 
Inverse Eigenvalue problems : theory, algorithms, and applications by 
Engineering optimization : an introduction with metaheuristic applications by An Introduction to Numerical Analysis by 
Power System Simulation, Control and Optimization by 
Krylov Subspace Methods by 
Numerical Methods for General and Structured Eigenvalue Problems by 