Discrete optimization

Related lectures (25)

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Introduces linear algebra, calculus, and optimization basics in Euclidean spaces, emphasizing the power of optimization as a modeling tool.

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

Explores binomial distribution, random walk, and diffusion concepts in a continuous context.

Covers geometric properties of discrete variables in GIS, including location, size, and shape.

Explores solving discrete optimization problems by relaxing integrality constraints.

Covers fundamental concepts of optimization and operations research, exploring real-world examples and key topics over a semester.

Covers the process of estimating stability and quality in numerical methods, focusing on discrete problems and algebraic identities.

Covers geometric properties, spatial arrangement, autocorrelation, and neighbourhood analysis in geographic information systems.

Covers logical operations and constraints in discrete optimization modeling.

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