Lectures related to Testing of VLSI Systems

Explores the Simon Problem 4, analyzing quantum states and algorithm complexity.

Covers classical and quantum computational complexity concepts and implications.

Covers the theory and applications of graph coloring, focusing on disassortative stochastic block models and planted coloring.

Explores the significance of power and energy in VLSI design, covering topics like power reduction, energy efficiency, and voltage scaling.

Explores linear systems, convergence, and solving methods with a focus on CPU time and memory requirements.

Explores test techniques for digital VLSI systems, covering fault modeling, test-pattern generation, and design for testability.