Concept

Answer set programming

Related lectures (6)

Covers exam instructions and big data infrastructures, including types of questions and fault tolerance.

Explores finding the initial Basic Feasible Solution (BFS) in a linear program.

Explores the Spark ecosystem's architectural choices, including RDDs and fault tolerance.

Explores programming models for big data processing, including Spark's RDDs and optimizations.

Introduces the MapReduce programming model for distributed computing, focusing on its vision and under-the-hood mechanisms.

Covers the transformation of formulas into conjunctive normal form and the efficiency of algorithms for checking satisfiability.