springer-math/Numerical_Linear_Algebra_Theory_and_Applications

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springer-math/Numerical_Linear_Algebra_Theory_and_Applications

springer-math

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MATLAB codes accompanying "Numerical Linear Algebra Theory" by Larisa Beilina, Evgenii Karchevskii, and Mikhail Karchevskii

Mathematics-of-Epidemics-on-Networks

Source code accompanying 'Mathematics of Epidemics on Networks' by Kiss, Miller, and Simon http://www.springer.com/us/book/9783319508047 . Documentation for the software package is at https://epidemicsonnetworks.readthedocs.io/en/latest/

dynamical-systems-with-applications-using-python

Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch

linear-programming-using-MATLAB

This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MATLAB® code. The MATLAB® implementations presented in this book are sophisticated and allow users to find solutions to large-scale benchmark linear programs. Each algorithm is followed by a computational study on benchmark problems that analyze the computational behavior of the presented algorithms. As a solid companion to existing algorithmic-specific literature, this book will be useful to researchers, scientists, mathematical programmers, and students with a basic knowledge of linear algebra and calculus. The clear presentation enables the reader to understand and utilize all components of simplex-type methods, such as presolve techniques, scaling techniques, pivoting rules, basis update methods, and sensitivity analysis.

Multiple-Criteria-Decision-Aid

Source code for Multiple Criteria Decision Aid by Jason Papathanasiou, Nikolaos Ploskas

Dynamical-Systems-with-Applications-using-MATLAB

Source code for 'Dynamical Systems with Applications using MATLAB®, 2ed' by Stephen Lynch http://www.springer.com/book/9783319068190

Numerical-Methods-for-Stochastic-Partial-Differential-Equations-with-White-Noise

Matlab codes accompanying Numerical Methods for Stochastic Partial Differential Equations with White Noise

adventures-in-graph-theory

Sage source code for the computation of graphs and proofs from "Adventures in Graph Theory" by David Joyner and Caroline Grant Melles

signals-and-systems

MATLAB code from K. Deergha's book on signal processing

Quantum-Computing-An-Applied-Approach