Elementary Linear Algebra 12

This textbook offers a carefully paced and sympathetic treatment of linear algebra, assuming knowledge only of the basic notation and elementary ideas of set theory. It progresses gradually to the more powerful and abstract notions of linear algebra, providing exercises which test and develop the reader's understanding at the end of each section. Full answers are given for most of the exercises to facilitate self-paced study.

Learn concepts in linear algebra and matrix analysis, and implement them in MATLAB and Python.

Learn concepts in linear algebra and matrix analysis, and implement them in MATLAB and Python.

-From Basics to advance level: recommended for university students, software engineers, data scientists, GATE & ESE exam

Echelon matrix , Normal Form of matrix, linear algebra, vector spaces, basis and dimension , Rank of matrix

This book is devoted to the analysis of approximate solution techniques for differential equations, based on classical orthogonal polynomials. These techniques are popularly known as spectral methods.

This collection covers all fields of mathematics, a must-have for the aspiring maths students and scholars alike.