- •Preface
- •1.1 Introduction
- •1.2 Models and modelling
- •1.3 The learning process for mathematical modelling
- •Summary
- •Aims and objectives
- •2.1 Introduction
- •2.2 Examples
- •2.3 Further examples
- •Appendix 1
- •Appendix 2
- •Aims and objectives
- •3.1 Introduction
- •3.2 Definitions and terminology
- •3.3 Methodology and modelling flow chart
- •3.4 The methodology in practice
- •Background to the problem
- •Summary
- •Aims and objectives
- •4.1 Introduction
- •4.2 Listing factors
- •4.3 Making assumptions
- •4.4 Types of behaviour
- •4.5 Translating into mathematics
- •4.6 Choosing mathematical functions
- •Case 1
- •Case 2
- •Case 3
- •4.7 Relative sizes of terms
- •4.8 Units
- •4.9 Dimensions
- •4.10 Dimensional analysis
- •Summary
- •Aims and objectives
- •5.1 Introduction
- •5.2 First-order linear difference equations
- •5.3 Tending to a limit
- •5.4 More than one variable
- •5.5 Matrix models
- •5.6 Non-linear models and chaos
- •5.7 Using spreadsheets
- •Aims and objectives
- •6.1 Introduction
- •6.2 First order, one variable
- •6.3 Second order, one variable
- •6.4 Second order, two variables (uncoupled)
- •6.5 Simultaneous coupled differential equations
- •Summary
- •Aims and objectives
- •7.1 Introduction
- •7.2 Modelling random variables
- •7.3 Generating random numbers
- •7.4 Simulations
- •7.5 Using simulation models
- •7.6 Packages and simulation languages
- •Summary
- •Aims and objectives
- •8.1 Introduction
- •8.2 Data collection
- •8.3 Empirical models
- •8.4 Estimating parameters
- •8.5 Errors and accuracy
- •8.6 Testing models
- •Summary
- •Aims and objectives
- •9.1 Introduction
- •9.2 Driving speeds
- •Context
- •Problem statement
- •Formulate a mathematical model
- •Rewritten problem statement
- •Obtain the mathematical solution
- •9.3 Tax on cigarette smoking
- •Context
- •Problem statement
- •Formulate a mathematical model
- •Obtain the mathematical solution
- •9.4 Shopping trips
- •Context
- •Problem statement
- •Formulate a mathematical model
- •Obtain the mathematical solution
- •Interpret the mathematical solution
- •Using the model
- •9.5 Disk pressing
- •Context
- •Problem statement
- •Formulate a mathematical model
- •Obtain the mathematical solution
- •Interpret the mathematical solution
- •Further thoughts
- •9.6 Gutter
- •Context and problem statement
- •Formulate a mathematical model
- •Obtain the mathematical solution
- •9.7 Turf
- •Context
- •Problem statement
- •Formulate a mathematical model
- •Obtain the mathematical solution
- •Interpret the solution
- •9.8 Parachute jump
- •Context and problem statement
- •Formulate a mathematical model
- •Obtain the mathematical solution
- •9.9 On the buses
- •Context
- •Problem statement
- •Formulate a mathematical model
- •Obtain the mathematical solution
- •9.10 Further battles
- •Discrete deterministic model
- •Discrete stochastic model
- •Comparing the models
- •9.11 Snooker
- •Context
- •Problem statement
- •Formulate a mathematical model
- •Obtain the mathematical solution
- •Interpret the mathematical solution
- •9.12 Further models
- •Mileage
- •Heads or tails
- •Picture hanging
- •Motorway
- •Vehicle-merging delay at a junction
- •Family names
- •Estimating animal populations
- •Simulation of population growth
- •Needle crystals
- •Car parking
- •Overhead projector
- •Sheep farming
- •Aims and objectives
- •10.1 Introduction
- •10.2 Report writing
- •Preliminary
- •Main body
- •Appendices
- •Summary
- •General remarks
- •10.3 A specimen report
- •Contents
- •1 PRELIMINARY SECTIONS
- •1.1 Summary and conclusions
- •1.2 Glossary
- •2 MAIN SECTIONS
- •2.1 Problem statement
- •2.2 Assumptions
- •2.3 Individual testing
- •2.4 Single-stage procedure
- •2.5 Two-stage procedure
- •2.6 Results
- •2.7 Regular section procedures
- •2.8 Conclusions
- •3 APPENDICES
- •3.1 Possible extensions
- •3.2 Mathematical analysis
- •10.4 Presentation
- •Preparation
- •Giving the presentation
- •Bibliography
- •Solutions to Exercises
- •Chapter 2
- •Example 2.2 – Double wiper overlap problem
- •Chapter 4
- •Chapter 5
- •Chapter 6
- •Chapter 8
- •Index
Index
acceleration due to gravity 123 accuracy 115
activity 205
air resistance 160, 240, 268 animal growth 232 approximations 115
art gallery 63
assumptions 16, 20, 25, 28, 47, 55, 95, 211 athletics 10
attributes 205 bandage 65 basketball 177 battles 140, 179, 279
binomial distribution 194 bird life longevity 7 blood testing 305
buses 274
car exhaust bay 46 car parking 296 chaos 142 clocktime 207 coin tossing 291
continuous random variables 194, 198 corners 32
corridors 32
coupled differential equations 178 cranes 162
crystals 295 data 217
data collection 7, 11, 12, 19, 24, 218, 219 deterministic models 76
difference equations 38, 131
differential equations 150 dimensions 122
discrete random variables 194, 198 disk pressing 252
drag force 221 driving speeds 242 elastic constant 288 empirical models 219 entities 203 equilibrium point 185
errors and accuracy 235 estimating animal populations 294 evacuations 27
event sequencing 203 events 203
exponential distribution 195, 198 factors 15, 89, 129
family names 294 firemen 171
first-order differential equations 151 fish harvest 36
fixtures 49 flowcharts 78 football 177
foxes and rabbits 184 gas flow 76
getting wet 80 gutters 257 hairdressers 203 hand simulation 206 health centres 75
height and weight 220, 227
highway code 24 ice-cream cornet 66 ice-cream sales 111
initial conditions 76, 145, 182, 185, 211 input-output principle 190
inputs 90, 93, 129 integration 56
inverse c.d.f. method 199 investments 62
jumble sales 108, 112 ladders 32, 63
lake models 136, 139 laws of collision 287
least squares 8, 219, 221, 228 lift system 64
loan finance 42
logistic growth curve 155 matrix models 38, 141 methodology 80
mileage 290 modelling flowchart 78 motorways 292
needle crystals 295
Newton's laws of motion 156, 269 normal distribution 195, 198 OHP 296, 317
outputs 90, 93, 129 parachute jumps 268
parameters 26, 83, 90, 93, 117, 210, 227 performance measures 211
physical models 156 picture hanging 291 Poisson distribution 194
population growth 36, 132, 151, 155, 294
presentation 317, 318 prey predator 184 price war 24
prices 104, 114 probability function 194
probability density function 194 problem solving 75 proportionality 106 pseudo-random numbers 197 pyramid selling 64
queue discipline 205 rainfall 80, 94, 107, 257, 263
random numbers 48, 77, 197, 282 random variables 192
random walk model 58 rates of change 150 rejection method 200 report writing 298 reservoirs 92
Reynolds number 126, 221 second-hand car 66
second-order differential equations 156 sheep farming 297
shopping trips 248 shot putt 177
SI units 119
simulation 30, 47, 75, 201 simulation languages 215 simulation packages 216 sleeping policeman 169 smoking tax 246
snooker 283 snow ploughs 54 state variables 203
steady state 38, 41, 211 stochastic models 77, 192 Stokes’ drag 127 sunshine 103
swing doors 170 temperature 236 tennis matches 54
terminal speed 127, 160, 268 testing models 238
tide level 224 time slicing 203
trace tables 207–209
traffic 20, 293 traffic lights 20 transients 211 turf 263
uncoupled differential equations 171 uniform distribution 195, 198
units 118
units conversion table 121 variables 15, 25, 43, 92 vehicle 46
water tank 91