Delves into dynamic programming with a focus on Matrix Chain Multiplication and the longest common subsequence problem.
Covers the basics of Numpy, including importing the library, creating arrays, and performing linear algebra operations.
Covers the basics of parallelism, including physical examples, historical context, multicore era, and parallel collections in Scala.
Explores minimal annihilating polynomials and cyclic invariant subspaces, showcasing their practical applications through matrix computations.
Covers matrix multiplication, properties, and the identity matrix in algebraic operations.
