It includes the basic and advance numpy array manipulations. The topics like indexing, slicing, fast element array-wise functions, mathematical and statistical methods, filing, linear algebra ...

Algebraic structures and linear maps form a cornerstone in modern mathematics, underpinning areas as diverse as abstract algebra and functional analysis. Algebraic structures such as groups, rings ...

The subsequent discussion showcases a selection of distributed dense linear algebra algorithms that function well despite these constraints. We have chosen these specific algorithms because of their ...

Linear algebra serves as a foundational tool in image processing, bridging the gap between visual complexity and mathematical abstraction. With images represented as digital matrices, each pixel ...

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.

The mathematical basics of the non-classical approach to the logical synthesis of k-valued digital structures based on the replacement of the classic mathematical apparatus of logic synthesis (Boolean ...

The pertinent results from the algebra of delay polynomials are summarized, and the state structure of linear sequential functions is outlined. It is shown that every retrospective linear sequential ...