Does the machine's ability to go 'beyond classical computation' show supremacy despite the tortured history of the term?

Know about the BITSAT syllabus in detail. Check the subject-wise topics, weightage, prep tips, best books on this page.

matrix factorizations; inner product spaces; orthogonal projections and orthonormal bases; singular value decomposition; positive operators. Further advanced topics may be covered if time allows.

This course gives a thorough introduction to linear algebra with emphasis on vector spaces, linear maps, spectral theory, orthogonality and applications of this theory. MATLAB is used for ...

22.9.2025 – 27.10.2025 - can write systems of linear equations in matrix form - can solve systems ... Substitutes the courses MS-A00XX Matrix algebra. Online learning environment for the course ...

"Matrix Algebra with Applications" (21-240) and "Matrices and Linear Transformations" (21-241) and "Calculus in Three Dimensions" (21-259) and "Principles of Imperative Computation" (15-122) Matlab ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...