SUMMARY
Discrete Geometry primarily focuses on the study of convex polytopes, encompassing various properties and applications. Essential knowledge includes basic linear algebra and concepts related to topological spaces, although a deep understanding of topology is not mandatory. Key resources include Branko Grunbaum's "Convex Polytopes" and applications in tools like polymake and Sagemath. The subject is closely related to theoretical computer science, particularly in areas such as convex and combinatorial optimization and linear programming.
PREREQUISITES
- Basic linear algebra
- Understanding of convex sets and polytopes
- Familiarity with topological concepts such as interior, closure, and boundary
- Knowledge of linear programming techniques, specifically the Simplex method
NEXT STEPS
- Study Branko Grunbaum's "Convex Polytopes"
- Explore the applications of convex polytopes in polymake
- Learn about the theorem of Ehrhart and its implications in rational polytopes
- Investigate the relationship between discrete geometry and theoretical computer science, focusing on combinatorial optimization
USEFUL FOR
Mathematicians, theoretical computer scientists, and students interested in convex geometry and optimization techniques will benefit from this discussion.