Decision Math 1 (Edexcel AS and A level Modular Math)
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English
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Entries: 43
Keith Pledger
edexel books
pearson
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Decision Math 1 (Edexcel AS and A level Modular Math)
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1. Algorithms
Theory
Page 9
1.1 Understanding and using an algorithm given in words
Theory
Page 10
1.2 Implementing an algorithm given in the form of a flow chart
Theory
Page 13
1.3 Carrying out a bubble sort
Theory
Page 18
1.4 Carrying out a quick sort
Theory
Page 20
1.5 Implementing a binary search
Theory
Page 22
1.6 Implementing the three bin packing algorithms and being aware of their limitations
Theory
Page 25
2. Graphs and networks
Theory
Page 33
2.1 Knowing how graphs and networks can be used to create mathematical models
Theory
Page 34
2.2 Being familiar with some basic terminology used in graph theory
Theory
Page 36
2.3 Knowing some special types of graph
Theory
Page 40
2.4 Understanding how graphs and networks can be represented using matrices
Theory
Page 42
3. Algorithms on networks
Theory
Page 48
3.1 Using Kruskal’s algorithm to find a minimum spanning tree
Theory
Page 49
3.2 Using Prim’s algorithm on a network to find a minimum spanning tree
Theory
Page 53
3.3 Applying Prim’s algorithm to a distance matrix
Theory
Page 55
3.4 Using Dijkstra’s algorithm to find the shortest path between two vertices in a network
Theory
Page 59
4. Route inspection (Chinese postman problem)
Theory
Page 71
4.1 Determining whether a graph is traversable
Theory
Page 72
4.2 Using the route inspection algorithm to find the shortest route in a network
Theory
Page 75
Review Exercise 1
Problem
Page 85
5. Critical path analysis
Theory
Page 95
5.1 Modelling a project by an activity network, from a precedence table
Theory
Page 96
5.2 Understanding the use of dummies
Theory
Page 100
5.3 Carrying out a forward pass and a backward pass using early and late event times
Theory
Page 104
5.4 Identifying critical activities
Theory
Page 106
5.5 Determining the total float of activities
Theory
Page 109
5.6 Constructing cascade (Gantt) charts
Theory
Page 110
5.7 Using cascade (Gantt) charts
Theory
Page 112
5.8 Constructing a scheduling diagram
Theory
Page 113
6. Linear programming
Theory
Page 121
6.1 Formulating a problem as a linear programming problem
Theory
Page 122
6.2 Illustrating a two-variable linear programming problem graphically
Theory
Page 129
6.3 Locating the optimal point in a feasible region using the objective line (ruler) method
Theory
Page 135
6.4 Using the vertex testing method to locate the optimal point
Theory
Page 143
6.5 Determining solutions that need integer values
Theory
Page 149
7. Matchings
Theory
Page 157
7.1 Modelling matching problems using a bipartite graph
Theory
Page 158
7.2 Using the maximum matching algorithm, starting from an initial matching
Theory
Page 161
Review Exercise 2
Problem
Page 170
Examination style paper
Test
Page 181
Answers
Answer
Page 185
Index
Other
Page 240
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