This book gathers selected contributions presented at the INdAM Meeting Structured Matrices in Numerical Linear Algebra: Analysis, Algorithms and Applications, held in Cortona, Italy on September 4-8, 2017. Highlights cutting-edge research on Structured Matrix Analysis, it covers theoretical issues, computational aspects, and applications alike. The contributions, written by authors from the foremost international groups in the community, trace the main research lines and treat the main problems of current interest in this field. The book offers a valuable resource for all scholars who are interested in this topic, including researchers, PhD students and post-docs
We discuss a number of novel issues in the interdisciplinary area of numerical linear algebra and sy...
Computing solutions to real life scientific or engineering problem is most often the cheapest, faste...
The design of fast algorithms is not only about achieving faster speeds but also about retaining the...
Focusing on special matrices and matrices which are in some sense "near" to structured matrices, thi...
© Springer International Publishing AG 2017. All rights reserved. This book combines a solid theoret...
International audienceThe sixteen papers in this special section brings together work from a variety...
AbstractDifferent kinds of nonlinear matrix equations are analyzed and their interplay with certain ...
This proposal concerned the design, analysis, and implementation of serial and parallel algorithms f...
This cross-disciplinary volume brings together theoretical mathematicians, engineers and numerical a...
Matrix algorithms are at the core of scientific computing and are indispensable tools in most applic...
This book offers an introduction to the algorithmic-numerical thinking using basic problems of linea...
Basic subject on matrix theory and linear algebra, emphasizing topics useful in other disciplines, i...
AbstractThe increasing availability of advanced-architecture computers has a significant effect on a...
In its second edition, this textbook offers a fresh approach to matrix and linear algebra. Its blend...
This self-contained monograph presents matrix algorithms and their analysis. The new technique enabl...
We discuss a number of novel issues in the interdisciplinary area of numerical linear algebra and sy...
Computing solutions to real life scientific or engineering problem is most often the cheapest, faste...
The design of fast algorithms is not only about achieving faster speeds but also about retaining the...
Focusing on special matrices and matrices which are in some sense "near" to structured matrices, thi...
© Springer International Publishing AG 2017. All rights reserved. This book combines a solid theoret...
International audienceThe sixteen papers in this special section brings together work from a variety...
AbstractDifferent kinds of nonlinear matrix equations are analyzed and their interplay with certain ...
This proposal concerned the design, analysis, and implementation of serial and parallel algorithms f...
This cross-disciplinary volume brings together theoretical mathematicians, engineers and numerical a...
Matrix algorithms are at the core of scientific computing and are indispensable tools in most applic...
This book offers an introduction to the algorithmic-numerical thinking using basic problems of linea...
Basic subject on matrix theory and linear algebra, emphasizing topics useful in other disciplines, i...
AbstractThe increasing availability of advanced-architecture computers has a significant effect on a...
In its second edition, this textbook offers a fresh approach to matrix and linear algebra. Its blend...
This self-contained monograph presents matrix algorithms and their analysis. The new technique enabl...
We discuss a number of novel issues in the interdisciplinary area of numerical linear algebra and sy...
Computing solutions to real life scientific or engineering problem is most often the cheapest, faste...
The design of fast algorithms is not only about achieving faster speeds but also about retaining the...