Статья «Алгоритм Форда-Беллмана» по теме «Теория графов». Информатика в учебнике Фоксфорда

Graph Theory algorithms video series

Support me by purchasing the full graph theory playlist on Udemy. This version offers additional problems, exercises and quizzes not available on YouTube:
https://www.udemy.com/course/graph-theory-algorithms

Discount coupon (Expires 07/07/2020 14:07 PM PDT (GMT -7)):
https://www.udemy.com/course/graph-theory-algorithms/?couponCode=5CBA416B84A91A6B4139

Graph Theory video series playlist on YouTube:
https://www.youtube.com/playlist?list=PLDV1Zeh2NRsDGO4--qE8yH72HFL1Km93P

Topics covered in these videos include: how to store and represent graphs on a computer; common graph theory problems seen in the wild; tree algorithms; famous graph traversal algorithms (DFS & BFS); Dijkstra's shortest path algorithm; what a topological sort is, how to find one, and places it's used; learning about detecting negative cycles and finding shortest paths with the Bellman-Ford and Floyd-Warshall algorithms; discovering bridges and articulation points in graphs; understanding and detecting strongly…

In computational geometry, the largest empty rectangle problem, maximal empty rectangle problem or maximum empty rectangle problem, is the problem of finding a rectangle of maximal size to be placed among obstacles in the plane. There are a number of variants of the problem, depending on the particularities of this generic formulation, in particular, depending on the measure of the "size", domain (type of obstacles), and the orientation of the rectangle.