The course covers systems of linear equations, matrices, inverse of a matrix, determinant, vectors in two-, three- and n-dimensions, Euclidean and general vector spaces, and applications of linear ...

This course focuses on lines and planes, the geometry and algebra of vectors, systems of linear equations, matrix algebra, linear independence, spanning sets, basis, linear transformations, ...

Linear algebra is a branch of mathematics that deals with linear equations and linear functions, and it plays a key role in many areas of science, engineering, and computer science. Linear algebra is ...

Introduces and provides models for application of the concepts of vector algebra. Topics include finite dimensional vector spaces and their geometric significance; representing and solving systems of ...

SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.

and its applications in finding the solution of linear equations and determinants. Linear algebra is a subject that has found the broadest range of applications in all branches of mathematics, ...

In the past few decades, multi-linear algebra also known as tensor algebra has been adapted and employed as a tool for various engineering applications. Recent developments in tensor algebra have ...

Linear algebra grew out of the development of techniques at the start of the 18th century by Leibniz, Cramer and Gauss to solve systems of linear equations. Cayley developed matrix algebra in the ...

This unique text presents the new domain of consistent non-linear counterparts for all basic objects and tools of linear algebra, and develops an adequate calculus for solving non-linear algebraic and ...