D1 terms
these are the terms for the first three chapters of edexcels D1
- Created by: dillin
- Created on: 30-10-11 17:35
Complete graph
A graph in which each of the n vertices is connected to
every other vertex.
Cycle
A closed path, i.e. the end vertex of the last edge is the start
vertex of the first edge. (Same as a circuit.)
Arc
A curved line connecting points (nodes or vertices) on a
graph
Bipartite graph
A graph consisting of two sets of vertices X and Y. The
edges only join vertices in X to vertices in Y, not vertices
within a set. (If there are r vertices in X and s vertices in Y
then this graph is Kr ,s.)
Degree
The degree or valency of a vertex is the number of edges
incident to it. A vertex is odd (even) if it has odd (even)
degree
Dijkstra’s algorithm
An algorithm that finds the shortest paths from a single
source vertex to all other vertices in a directed graph.
Edge
A line on a graph connecting two nodes
Even vertex (or node)
A vertex is even if it has even degree.
End node
The last point in a network
Graph
A graph G consists of points (vertices or nodes) which are
connected by lines (edges or arcs).
Kruskal’s (greedy) algorithm
An algorithm used to find the minimum spanning tree of a
network. Uses a different method to Prim’s algorithm.
Minimum connector
Same as a minimum spanning tree
Minimum spanning tree (MST)
A spanning tree such that the total length of its arcs is as
small as possible. (MST is sometimes called a minimum
connector.
Network
A graph where each edge has a ‘weight’. (Also known as a
weighted graph)
Node
A point on a graph (same as a vertex)
Odd vertex (or node)
A vertex is odd if it has odd degree
Path
A finite sequence of edges, such that the end vertex of one
edge in the sequence is the start vertex of the next, and in
which no vertex appears more then once
Prim’s algorithm
An algorithm used to find the minimum spanning tree of a
network. Uses a different method to Kruskal’s algorithm.
Spanning tree
A spanning tree of a graph G is a subgraph which includes
all the vertices of G and is also a tree.
Subgraph
A subgraph of G is a graph, each of whose vertices belongs
to G and each of whose edges belongs to G.
Tree
A connected graph with no cycles.
Valency
Same as degree
Vertex
A point on a graph (also called a node).
Weigh
The number associated with each edge on a graph
Weighted graph
A graph where each edge has a ‘weight’. (Also known as a
network).
Bubble sort
A simple sorting procedure that begins by ordering the first
and second items, then the second and third, and so on,
until the end of the set is reached. The process is repeated
until all items are correctly ordered
Bin packing
Refers to problems that involve the packing of objects into
well defined regions called bins, so that they do not
overlap. The main purpose is to make efficient use of the
available space
Binary search
A technique for locating a particular value in a sorted list
by finding the median value and comparing it to the target
value
Connected
Two vertices are connected if there is a path between them.
A graph is connected if all its vertices are connected.
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