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Recurrence Relations
Using recurrence rules to calculate terms in a sequence.
Finding the recurrence relation
Using two equations to calculate the value of r and d.
tn+1 = rtn + d, t1 = a
General formula for recurrence relations.
Recurrence relations for arithmetic sequences
tn+1 = tn + d, t1 = a.
Recurrence relations for geometric sequences
tn+1 = rtn, t1 = a.
Graphical representation of recurrence relations
Interpreting graphs - arithmetic or geometric or neither.
Increase indefinitely
A behavior of a sequence where values grow without bound.
Decrease indefinitely
A behavior of a sequence where values shrink without bound.
Steady state solution
A solution where the sequence stabilizes over time.
Long term steady state solution
Calculating from recurrence relation for long-term behavior.
Basic concepts/definitions in Graphs
Vertices, edges, loop, isolated vertex, multiple edges.
Simple graph
A graph without loops or multiple edges.
Connected graph
A graph where there is a path between every pair of vertices.
Complete graph
A graph where every pair of vertices is connected; includes calculating using formula where n is the number of vertices.
Subgraph
A graph formed from a subset of vertices and edges of another graph.
Directed graph
A graph where edges have a direction.
Bipartite graph
A graph whose vertices can be divided into two disjoint sets.
Adjacency matrix
A matrix used to represent a graph, where rows and columns represent vertices.
Loop
1 edge that connects a vertex to itself.
Degree
Number of edges linked to the vertex; loops counted as 2.
Degree sum
2 x number of edges.
Planar Graphs
Graphs with no edges that cross.
Euler's Formula
V = E - F + 2, where V is vertices, E is edges, F is faces.
Walk
Can include repeated edges and vertices.
Path
Open or closed. No repeated edges or vertices.
Trail
Open or closed. Vertices repeated, edges not repeated.
Eulerian graph
Starts and finishes at the same vertex, includes every edge once only.
Semi-Eulerian
Starts and finishes at different vertices, includes every edge once only.
Hamiltonian path
Every vertex once only, starts and finishes at different vertices.
Hamiltonian cycle
Every vertex once only, starts and finishes at the same vertex.