Variational Method

Related lectures (26)

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Covers classical and quantum computational complexity concepts and implications.

Covers coin rendering and the limitations of the greedy algorithm in finding optimal solutions.

Covers Dijkstra's algorithm and its application to the all-pairs shortest path problem.

Explores linear programming optimization with constraints, Dijkstra's algorithm, and LP formulations for finding feasible solutions.

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

Introduces an improved algorithm for three-color parity games, focusing on progress measures, acceleration, and practical speed-up.

Explores Replica Symmetry Breaking in the Random Energy Model, discussing configurational entropy and condensation.

Covers the fundamentals of integer optimization, including integer programming, dynamic programming, and approximation algorithms.

Explores sorting and recursive algorithms, including complexity analysis, maximal value, and binary search.