Download the detailed syllabus PDF here. Check the section-wise topics, exam pattern, preparation strategy, and best books.

Abstract: This book contains a detailed discussion of the matrix operation, its properties, and its applications in finding the solution of linear equations and determinants. Linear algebra is a ...

Book Abstract: This book contains a detailed discussion of the matrix operation, its properties, and its applications in finding the solution of linear equations and determinants. Linear algebra is a ...

As per experts, the JEE Main paper on January 22, was of easy to moderate difficulty level. Chemistry and Physics sections were relatively easy, while the Mathematics section was slightly lengthy ...

Our columnist on four stellar new releases. By Alida Becker Bookshop, a site that lets independent, bricks-and-mortar bookshops sell their books online, is launching an app that will allow the ...

In Kwame Alexander’s new verse novel and Karen L. Swanson’s nonfiction picture book, Black girls pursue their dreams of playing big-league baseball. As spooky season approaches, the master of ...

Consider investing in some of the best motivational books to get you back in gear. Whether you’re on the hunt for a new inspirational read to flip through to resurge your motivation or are ...

In his latest book Dr Rangan Chatterjee teaches you how to smash the bad habits steering you straight towards burnout. This is the scariest book I have ever read in my entire life - because it is ...

November 25, 2024 • Books We Love returns with 350+ new titles handpicked by NPR staff and trusted critics. Find 12 years of recommendations all in one place — that's nearly 4,000 great reads.

“Shattered” recounts the experience and its aftermath. In his new book “Everything Must Go,” Dorian Lynskey recounts two millennia of apocalyptic predictions. Amazingly, it’s not depressin ...

Aspiring participants of the GATE 2025 Biotechnology (BT) exam must go through the syllabus of Biotechnology (BT). The ...

Matrix algebra and Gaussian elimination. The geometry of vectors in R2, R3 and Rn. Vector spaces and linear transformation. Introduction to orthogonal geometry and eigenvalue problems. Meets the ...