Add to ORKGThere is a wonderful article, “Down with Determinants!, ” by Sheldon Axler that “shows how linear algebra can be done better without determinants. ” [1] The article received the Lester R. Ford Award for expository writing from the Mathematical Association of America. Axler’s article shows how to prove some standard results in linear algebra without usin
We provide a series of exercises for a first linear algebra course that introduces the concepts of e...
Engineers and scientists need to have an introduction to the basics of linear algebra in a context t...
Abstract. Jim Wilkinson discovered that the computation of zeros of polynomials is ill condi-tioned ...
This thesis presents an alternative method for finding the eigenvalues and eigenvectors of a certain...
This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors a...
Aplicación de las propiedades de determinantes. Definición de valores y vectores propios de una matr...
TheGer? sgorin CircleTheorem, averywell-known resultin linear algebra today, stems from the paper of...
This self-contained, clearly written textbook on linear algebra is easily accessible for students. I...
Descripción de las propiedades de los determinantes relacionadas con las operaciones elementales de ...
In this {\it case study}, we hope to show why Sheldon Axler was not just wrong, but {\em wrong}, whe...
This course offers a rigorous treatment of linear algebra, including vector spaces, systems of linea...
The purpose of this orticle is to present a result about eigenvalues of nonsingular matrices and to ...
This book is the first of two volumes on linear algebra for graduate students in mathematics, the sc...
Linear algebra and matrix theory are fundamental tools for almost every area of mathematics, both pu...
Linear algebra and matrix theory are fundamental tools for almost every area of mathematics, both pu...
We provide a series of exercises for a first linear algebra course that introduces the concepts of e...
Engineers and scientists need to have an introduction to the basics of linear algebra in a context t...
Abstract. Jim Wilkinson discovered that the computation of zeros of polynomials is ill condi-tioned ...
This thesis presents an alternative method for finding the eigenvalues and eigenvectors of a certain...
This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors a...
Aplicación de las propiedades de determinantes. Definición de valores y vectores propios de una matr...
TheGer? sgorin CircleTheorem, averywell-known resultin linear algebra today, stems from the paper of...
This self-contained, clearly written textbook on linear algebra is easily accessible for students. I...
Descripción de las propiedades de los determinantes relacionadas con las operaciones elementales de ...
In this {\it case study}, we hope to show why Sheldon Axler was not just wrong, but {\em wrong}, whe...
This course offers a rigorous treatment of linear algebra, including vector spaces, systems of linea...
The purpose of this orticle is to present a result about eigenvalues of nonsingular matrices and to ...
This book is the first of two volumes on linear algebra for graduate students in mathematics, the sc...
Linear algebra and matrix theory are fundamental tools for almost every area of mathematics, both pu...
Linear algebra and matrix theory are fundamental tools for almost every area of mathematics, both pu...
We provide a series of exercises for a first linear algebra course that introduces the concepts of e...
Engineers and scientists need to have an introduction to the basics of linear algebra in a context t...
Abstract. Jim Wilkinson discovered that the computation of zeros of polynomials is ill condi-tioned ...