Advanced Information Revision Notes

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Revision as of 09:46, 31 May 2022 by Admin (talk | contribs) (Graphs)
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Recursion

Arrays

An Array is a data structure that allows you to store several values of the same data type.

They are static structures.

You must declare the size of the array when it is created.

Memory for entire structure is given when created.

Single Dimension

Each value can be accessed by the element number within the sequence.

Multi Dimension

You need to specify the dimensions when created (ie 3, 3 ).

It can still only store one data type, so it could be a 2 dimensional array of Integers

To access an element you need to give the number for each dimension.

Abstract Data Types & Dynamic vs Static

Queues

Stacks

Graphs

Graphs can be used to represent complex relationships, ie who knows who or how things are connected.

Vertex / Node

A point or location on the graph.

Edge / Arc

A connection from 1 node to another.

Weighted Graph

Edges will have a cost or value attached to it. This represents the cost or distance of using that edge.

Undirected

Edges are shown by a line. You can travel in both directions along the line.

If a node A is connected to node B, then node B is also connected to node A

Directed

Edges are shown with arrows, you can only travel in the direction of the arrow.

If a node A is connected to node B, then node B might not be connected to node A (it will be a separate arrow)

Adjacency Matrix

Used to store what is and isn't connected.

Essentially a table with the nodes across the top and down the sides.

You can enter a 1 or a weighting if the are connected.

0 if they aren't connected.

Adjacency List

Only stores what is connected.

For each node, simply list which nodes are connected.

Doesn't work for weighted graphs.

Matrix vs List

Graph-3.jpg

The advice is to use a matrix when you have a graph with many edges (Dense).

The advice is to use a List when you have few edges (Sparse)

Remember a list will also require additional processing to check the list of connections for a given node.

A matrix requires little processing, you can go direct to the location.

Trees

A tree is a specific type of graph.

  1. Must be connected
  2. Must be undirected
  3. Must have no cycles

Graph Traversal

Searching Algorithms

Sorting Algorithms

Optimisation Algorithms

Order of Complexity

Halting Problem