Travelling salesman problem

Related lectures (30)

Page 3 of 3

Explores the Curie-Weiss model, spin glasses, and optimization problems in statistical physics.

Covers sensitivity analysis in linear programming, focusing on optimal solutions and their sensitivities to changes.

Covers exercises and solutions in translating text problems into linear programming and optimizing decision-making processes.

Covers definitions and concepts in discrete optimization, including binary linear problems and combinatorial optimization.

Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.

Covers Lagrangian duality in optimization, focusing on the minimum bin path problem and path time optimization.

Continues the discussion on Simon's hidden subgroup problem, focusing on finding a basis.

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

Explores the knapsack problem and the traveling salesman problem with a focus on optimization algorithms.

Explores the analysis of structures and mechanisms through a sample problem of opening a box with a string-held lid.