Graph Theory Flashcards

1
Q

Studies network and connectivity.

A

Graph Theory

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2
Q

A study that has helped us build the internet.

A

Graph Theory

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3
Q

Used to represent networks of communication, data organization, computational devices, the flow of computation, etc.

A

Graphs

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4
Q

What is the birth of Graph Theory attributed to?

A

Seven Bridges of Konigsberg

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5
Q

Who is the mathematician attributed to the birth of Graph Theory?

A

Leonhard Euler

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6
Q

The year Graph Theory was introduced is?

A

1736

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7
Q

What is a set of nodes of vertices linked by edges?

A

Graph

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8
Q

What are the main points of a graph?

A

Nodes/Vertices

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9
Q

What do you call the arcs or branches of a grapah?

A

Edges

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10
Q

What term is used when attributes are given to the vertices and/or edges?

A

Network

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11
Q

What do you call a graph whose edges are not all bidirectional?

A

Directed/Diagraph

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12
Q

What do you call a graph where no edge is bidirectional?

A

Undirected

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13
Q

A sequence of distinct edges that join two nodes through other nodes.

A

Path

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14
Q

The number of edges in a path.

A

Length of a Path

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15
Q

A path that begins and ends at the same vertex.

A

Circuit

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16
Q

What do you call it if a path connects a node to itself?

A

Cycle

17
Q

Cycles with length one.

A

Loops

18
Q

What do you call it if two distinct nodes are linked by at least one path?

A

Connected

19
Q

A graph that has no loops and has no edges that repeat.

A

Simple Graph

20
Q

A connected graph that has no cycles.

A

Tree

21
Q

A graph where it is possible to find a route that starts from one vertex, traverses every edge exactly once, and ends at the starting veretex.

A

Euler Graphs

22
Q

Route of Euler Graphs that are not unique.

A

Eulerian trail.

23
Q

A graph wherein it is possible to find a route that starts with one vertex, visits every vertex exactly once along incident edges, and ends at the starting vertex.

A

Hamiltonian Graphs

24
Q

Route of Hamiltonian Graphs.

A

Hamiltonian Cycle

25
Q

A kind of tree that minimizes the lengths (or “weights”) of the edges of the tree.

A

Minimum Spanning Tree

26
Q

Equation of the cost of the spanning tree.

A

Sum of the weights of all the edges in the tree

27
Q

Finds the “shortest” route from one vertex to another.

A

Shortest Path Algorithm