
Edexcel AS and A Level Modular Mathematics Decision Mathematics 1 D1
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Content
- Cover
- Contents
- About this book
- Chapter 1: Algorithms
- 1.1: Understanding and using an algorithm given in words
- 1.2: Implementing an algorithm given in the form of a flow chart
- 1.3: Carrying out a bubble sort
- 1.4: Carrying out a quick sort
- 1.5: Implementing a binary search
- 1.6: Implementing the three bin packing algorithms and being aware of their limitations
- Summary of key points
- Chapter 2: Graphs and networks
- 2.1: Knowing how graphs and networks can be used to create mathematical models
- 2.2: Being familiar with some basic terminology used in graph theory
- 2.3: Knowing some special types of graph
- 2.4: Understanding how graphs and networks can be represented using matrices
- Summary of key points
- Chapter 3: Algorithms on networks
- 3.1: Using Kruskal's algorithm to find a minimum spanning tree
- 3.2: Using Prim's algorithm on a network to find a minimum spanning tree
- 3.3: Applying Prim's algorithm to a distance matrix
- 3.4: Using Dijkstra's algorithm to find the shortest path between two vertices in a network
- Summary of key points
- Chapter 4: Route inspection (Chinese postman problem)
- 4.1: Determining whether a graph is traversable
- 4.2: Using the route inspection algorithm to find the shortest route in a network
- Summary of key points
- Review Exercise 1
- Chapter 5: Critical path analysis
- 5.1: Modelling a project by an activity network, from a precedence table
- 5.2: Understanding the use of dummies
- 5.3: Carrying out a forward pass and a backward pass using early and late event times
- 5.4: Identifying critical activities
- 5.5: Determining the total float of activities
- 5.6: Constructing cascade (Gantt) charts
- 5.7: Using cascade (Gantt) charts
- 5.8: Constructing a scheduling diagram
- Summary of key points
- Chapter 6: Linear programming
- 6.1: Formulating a problem as a linear programming problem
- 6.2: Illustrating a two-variable linear programming problem graphically
- 6.3: Locating the optimal point in a feasible region using the objective line (ruler) method
- 6.4: Using the vertex testing method to locate the optimal point
- 6.5: Determining solutions that need integer values
- Summary of key points
- Chapter 7: Matchings
- 7.1: Modelling matching problems using a bipartite graph
- 7.2: Using the maximum matching algorithm, starting from an initial matching
- Summary of key points
- Review Exercise 2
- Examination style paper
- Answers
- Index
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