Explores the design of heat exchanger networks, optimizing connections and configurations for efficient heat recovery.
Explores the design of heat exchanger networks, emphasizing investment-energy savings trade-offs and the impact of the pinch point.
Explores Belief Propagation in graphical models, factor graphs, spin glass examples, Boltzmann distributions, and graph coloring properties.
Covers the properties of signal/data representations using Fourier transformations and matrices.
Covers polynomial identity testing using oracles and random point evaluation, with applications in graph theory and algorithmic aspects.
Covers the Stochastic Block Model and its application in community detection, exploring its mathematical formulation and challenges.
