Aims and Scope Manuscripts submitted to Numerical Linear Algebra with Applications should include large-scale broad-interest applications in which challenging computational results are integral to the approach investigated and analysed. Manuscripts that, in the Editor\u2019s view, do not satisfy these conditions will not be accepted for review. Numerical Linear Algebra with Applications receives submissions in areas that address developing, analysing and applying linear algebra algorithms for solving problems arising in multilinear (tensor) algebra, in statistics, such as Markov Chains, as well as in deterministic and stochastic modelling of large-scale networks, algorithm development, performance analysis or related computational aspect...
Basic subject on matrix theory and linear algebra, emphasizing topics useful in other disciplines, i...
In its second edition, this textbook offers a fresh approach to matrix and linear algebra. Its blend...
Computing devices can utilize machine learning to forecast the future or make decisions without bein...
Aims and Scope Manuscripts submitted to Numerical Linear Algebra with Applications should include ...
Numerical linear algebra is a very important topic in mathematics and has important recent applicati...
AbstractThe increasing availability of advanced-architecture computers has a significant effect on a...
© Springer International Publishing Switzerland 2016. All rights reserved. This book presents the ma...
This book has evolved over many years from lecture notes on Numerical Linear Algebra that accompany ...
© Springer International Publishing AG 2017. All rights reserved. This book combines a solid theoret...
The aim of this report is to highlight the evolving interaction between computer architecture on the...
This book presents the main concepts of linear algebra from the viewpoint of applied scientists such...
Linear algebra forms the basis for much of modern mathematics-theoretical, applied, and computationa...
This book offers an introduction to the algorithmic-numerical thinking using basic problems of linea...
The present text book contains a collection of six high-quality articles. In particular, this book i...
This textbook develops the essential tools of linear algebra, with the goal of imparting technique a...
Basic subject on matrix theory and linear algebra, emphasizing topics useful in other disciplines, i...
In its second edition, this textbook offers a fresh approach to matrix and linear algebra. Its blend...
Computing devices can utilize machine learning to forecast the future or make decisions without bein...
Aims and Scope Manuscripts submitted to Numerical Linear Algebra with Applications should include ...
Numerical linear algebra is a very important topic in mathematics and has important recent applicati...
AbstractThe increasing availability of advanced-architecture computers has a significant effect on a...
© Springer International Publishing Switzerland 2016. All rights reserved. This book presents the ma...
This book has evolved over many years from lecture notes on Numerical Linear Algebra that accompany ...
© Springer International Publishing AG 2017. All rights reserved. This book combines a solid theoret...
The aim of this report is to highlight the evolving interaction between computer architecture on the...
This book presents the main concepts of linear algebra from the viewpoint of applied scientists such...
Linear algebra forms the basis for much of modern mathematics-theoretical, applied, and computationa...
This book offers an introduction to the algorithmic-numerical thinking using basic problems of linea...
The present text book contains a collection of six high-quality articles. In particular, this book i...
This textbook develops the essential tools of linear algebra, with the goal of imparting technique a...
Basic subject on matrix theory and linear algebra, emphasizing topics useful in other disciplines, i...
In its second edition, this textbook offers a fresh approach to matrix and linear algebra. Its blend...
Computing devices can utilize machine learning to forecast the future or make decisions without bein...