Welcome to the MATLAB & Simulink Book Discussion Channel!
Book Program
on 21 Oct 2024
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Hello All; My book (in German):
Numerische Mathematik vol. 1: Lineare Gleichungssysteme, Eigenwertprobleme, Nichtlineare Gleichungen, 5th Edition
was just released by De Gruyter Oldenbourg, 2025. I would be happy about any review on the Amazon website, too.
About the content:
The book covers the entire field of numerical mathematics from classical techniques such as Gaussian algorithm and Newton's method to modern algorithms such as cubic spline interpolation, least squares approximation using Householder and Givens transformations, and deflation techniques. The methods are described mathematically precisely, implemented in MATLAB codes, and demonstrated using examples. The MATLAB codes are provided for download on the publisher's website, so that the reader can carry out their own experiments with the numerical methods.
Due to its didactic structure and numerous illustrative examples and exercises, this book is ideally suited as accompanying reading for lectures and as a basis for successful self-study. At the same time, it can be used as a profound reference work by mathematicians, natural scientists, and engineers.
The most important methods are available as MATLAB programs for download on the publisher's website: https://www.degruyterbrill.com/publication/isbn/9783112205624/downloadAsset/9783112205624_MATLAB-Files.zip
Hello All; My book "Linear Algebra in Context" was just released by Springer Nature.
MATLAB code implementing features of the book may be found at
Of particular interest to the MATLAB community might be the 55 MATLAB functions that should perform all the common tensor operations that don’t use differentiation, and some less common ones, on a representation of a tensor on a finite-dimensional vector space as a matrix.
I hope someone here finds this useful. Enjoy!!
We are pleased to announce the publication of "Hierarchical Archimedean Copulas" by Jan Górecki and Ostap Okhrin, released by Springer International Publishing in 2024. This comprehensive text delves into Hierarchical Archimedean Copulas (HACs), covering foundational concepts, the Archimedean family, and the unique properties of HACs. It also explores sampling algorithms, parameter estimation, and temporal models with applications in finance and economics. The final chapter introduces toolboxes for copula modeling in R, MATLAB, and Octave, equipping readers to model complex dependence structures effectively.
For more details, visit the MathWorks promotional page:
Congratulations on your new book. This is worth a new post.
I am happy to announce the release of my book
Digital Signal Processing - An introduction, second edition. Springer 2024
and place it for discussion
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