A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Providing an extensive treatment of essential topics such as Gaussian elimination, inner products and norms, and eigenvalues and singular values, this text can be used for an in-depth first course, or an application-driven second course in ...
In this text for junior and senior undergraduates, Sadun treats diagonalization as a central tool in solving complicated problems in these subjects by reducing coupled linear evolution problems to a sequence of simpler decoupled problems.
An Introduction to Applied Linear Algebra
This new book offers a fresh approach to matrix and linear algebra by providing a balanced blend of applications, theory, and computation, while highlighting their interdependence.
Explains both the how and the why of linear algebra to get students thinking like mathematicians.
Introduction to Applied Linear Algebra with MATLAB
This book avoids the traditional definition-theorem-proof format; instead a fresh approach introduces a variety of problems and examples all in a clear and informal style.
The present text book contains a collection of six high-quality articles. In particular, this book is devoted to Linear Mathematics by presenting problems in Applied Linear Algebra of general or special interest.
After completing the course with this text, the student will not only know the best and shortest way to do linear algebraic computations but will also know why such computations are both effective and successful.
Matrices and linear transformations are presented as two sides of the same coin, with their connection motivating inquiry throughout the book.