David Walker, Michael Leonard and Martin Lambert are in the School of Civil, Environmental and Mining Engineering, and Andrew Metcalfe is in the School of Mathematical Sciences, all at the University of Adelaide, Australia. They are all active in teaching and research and the content of the book reflects a strong belief that the one should complement the other.

• Part 1: Introduction  Part 2: Roots of Equations  Part 3: Numerical Integration  Part 4: Numerical Interpolation  Part 5: Systems of Equations  Part 6: Ordinary Differential Equations  Part 7: Finite Difference Modelling  Part 8: Probability and Statistics  Part 9: Probability Distributions  Part 10: Monte Carlo Method  Part 11: Stochastic Modelling  Part 12: Optimisation  Part 13: Linear Systems and Resonance  Part 14: Spectral Analysis

David Walker, Michael Leonard and Martin Lambert are in the School of Civil, Environmental and Mining Engineering, and Andrew Metcalfe is in the School of Mathematical Sciences, all at the University of Adelaide, Australia. They are all active in teaching and research and the content of the book reflects a strong belief that the one should complement the other.

• Part 1: Introduction  Part 2: Roots of Equations  Part 3: Numerical Integration  Part 4: Numerical Interpolation  Part 5: Systems of Equations  Part 6: Ordinary Differential Equations  Part 7: Finite Difference Modelling  Part 8: Probability and Statistics  Part 9: Probability Distributions  Part 10: Monte Carlo Method  Part 11: Stochastic Modelling  Part 12: Optimisation  Part 13: Linear Systems and Resonance  Part 14: Spectral Analysis

David Walker, Michael Leonard and Martin Lambert are in the School of Civil, Environmental and Mining Engineering, and Andrew Metcalfe is in the School of Mathematical Sciences, all at the University of Adelaide, Australia. They are all active in teaching and research and the content of the book reflects a strong belief that the one should complement the other.

• Part 1: Introduction  Part 2: Roots of Equations  Part 3: Numerical Integration  Part 4: Numerical Interpolation  Part 5: Systems of Equations  Part 6: Ordinary Differential Equations  Part 7: Finite Difference Modelling  Part 8: Probability and Statistics  Part 9: Probability Distributions  Part 10: Monte Carlo Method  Part 11: Stochastic Modelling  Part 12: Optimisation  Part 13: Linear Systems and Resonance  Part 14: Spectral Analysis