Abstract: This book fills a gap in the existing literature for a serious presentation of numerical linear algebra that is accessible to undergraduates who have taken a basic course in linear algebra.

Meta.Numerics is library for advanced numerical computing on the .NET platform. It offers an object-oriented API for statistical analysis, advanced functions, Fourier transforms, numerical integration ...

A generalization of Conventional Matrix Product (CMP), called the Semi-Tensor Product (STP), is proposed. It extends the CMP to two arbitrary matrices and maintains all fundamental properties of CMP.

Our self-contained volume provides an accessible introduction to linear and multilinear algebra as well as tensor calculus. Besides the standard techniques for linear algebra, multilinear algebra and ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations. Different books cater to various needs. Some focus on ...

A SIGN of the present-day tendency of mathematical thought is in the changed character of many of the books now produced. In the last few years almost all new books in pure mathematics have ...

ABSTRACT: The inversion of a non-singular square matrix applying a Computer Algebra System (CAS) is straightforward. The CASs make the numeric computation efficient but mock the mathematical ...

THE history of the theory of algebraic forms gives a striking example of the fact that the germ of a mathematical doctrine may remain dormant for a long period, and then suddenly develop in a most ...

The Introduction to Quantitative Risk Management (iQRM) seminars tours the material and cases that appear in our iQRM class. This allows beginners to get a preview of the class content and advanced ...

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