graph algorithm

Big O notation is used to describe the running time of graph algorithms.

He is known for his work in computational geometry, graph algorithms, and recreational mathematics.

It is well-known and widely used in application areas of graph algorithms such as computational chemistry.

Generic programming similarly has been applied in other domains e.g. graph algorithms.

Treewidth is commonly used as a parameter in the parameterized complexity analysis of graph algorithms.

Ear decompositions may be used to characterize several important graph classes, and as part of efficient graph algorithms.

Several authors have studied the parameterized complexity of graph algorithms parameterized by this number.

Graph Algorithms in Computer Science.

Graph algorithms: By using heaps as internal traversal data structures, run time will be reduced by polynomial order.

The repeated search for bridges in this algorithm may be performed efficiently using a dynamic graph algorithm of .

The GraphLab framework is a parallel programming abstraction targeted for sparse iterative graph algorithms.

Galil's research is in the areas of algorithms, particularly string and graph algorithms, complexity, cryptography and experimental design.

In 2011, he was named an ACM Fellow for his contributions to graph algorithms and computational geometry.

Bodlaender is known for his work on graph algorithms and in particular for algorithms relating to tree decomposition of graphs.

"the graph algorithm needs time proportional to the logarithm of the number of edges and to the number of vertices"

The exact static call graph is undecidable, so static call graph algorithms are generally overapproximations.

Efficient data structures for order-maintenance have applications in many areas, including data structure persistence, graph algorithms and fault-tolerant data structures.

He is known for his work in graph algorithms and the reconstruction conjecture and is affectionately referred to as "Wild Bill" by his students.

Heaps are crucial in several efficient graph algorithms such as Dijkstra's algorithm, and in the sorting algorithm heapsort.

This algorithm is often used in routing as a subroutine in other graph algorithms, or in GPS Technology.

The Cuthill McKee algorithm is a variant of the standard breadth-first search algorithm used in graph algorithms.

The graph algorithm was developed by Tamás Nepusz, a PhD in graph theory who previously worked at Last.

In pedagogical contexts, minimum spanning tree algorithms serve as a common introductory example of both graph algorithms and greedy algorithms due to their simplicity.

Many problems in graph algorithms may be solved efficiently on graphs of low pathwidth, by using dynamic programming on a path-decomposition of the graph.

Journal of Graph Algorithms and Applications (JGAA)