โ Scribed by Winter, David J.; Herstein, I. N.
No coin nor oath required. For personal study only.
The 2 x 2 matrices --
Systems of linear equations --
The n x n matrices --
More on n x n matrices --
Determinants --
Rectangular matrices. More on determinants --
More on systems of linear equations --
Abstract vector spaces --
Linear transformations --
The Jordan canonical form (optional) --
Applications (optional) --
Least squares methods (optional) --
Linear algorithms (optional).
Matrices Algebras Linear Lineare Algebra Matrizenrechnung Calculus
๐ SIMILAR VOLUMES
https://www.mathstat.dal.ca/~selinger/linear-algebra/
Intended for a serious first course or a second course, this textbook will carry students beyond eigenvalues and eigenvectors to the classification of bilinear forms, to normal matrices, to spectral decompositions, and to the Jordan form. The authors approach their subject in a comprehensive and acc
This revision of a well-known text includes more sophisticated mathematical material. A new section on applications provides an introduction to the modern treatment of calculus of several variables, and the concept of duality receives expanded coverage. Notations have been changed to correspond to m
<DIV>Advanced undergraduate and first-year graduate students have long regarded this text as one of the best available works on matrix theory in the context of modern algebra. Teachers and students will find it particularly suited to bridging the gap between ordinary undergraduate mathematics and co
<DIV>Advanced undergraduate and first-year graduate students have long regarded this text as one of the best available works on matrix theory in the context of modern algebra. Teachers and students will find it particularly suited to bridging the gap between ordinary undergraduate mathematics and co