Brief Description of Course Content Introduces the fundamentals of linear algebra in the context of computer science applications. Includes vector spaces, matrices, linear systems, and eigenvalues.

These systems are hard to control because their linearization makes them uncontrollable and current approaches generally involve complex calculations. In this manuscript, a controller for trajectory ...

Linear delay differential systems can be modeled as systems with coefficients in a suitable ring, so that several design problems can be solved using a geometric approach. To practically compute the ...

In many modern applications, from quantum theory to cryptography, the interplay between abstract algebra and dynamics underpins both theoretical advances and practical algorithms.

Dynamical Systems in Applications Publication Trend The graph below shows the total number of publications each year in Dynamical Systems in Applications.

Differential Dynamical Systems begins with coverage of linear systems, including matrix algebra; the focus then shifts to foundational material on nonlinear differential equations, making heavy use of ...

This book is ideal as a reference and guide to new directions in research for advanced students and researchers interested in the modern theory and applications of integrable (especially ...