A good mathematical model of a physical situation leads to improved understanding. A good model must be robust and predictive, anticipating results that can be verified by experiment. This book shows engineers how to construct such models and how to solve them numerically, two enormously important tasks in practical engineering.
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This is a useful guide to the design and use of numerical models which can be converted into reliable simulation algorithms. It is aimed mainly at electrical and electronic engineering students but will also be useful to students of other engineering disciplines and physics. (Aslib Book Guide vol. 63 no. 2 February 1998)
Donard de Cogan is at University of East Anglia, Norwich. Anne de Cogan is at City College Norwich.
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Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,550grams, ISBN:9780198564379. Codice articolo 5817102
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Paperback. Condizione: new. Paperback. A good mathematical model of a physical situation leads to improved understanding. A good model must be robust (its underlying assumptions must not lead to inconsistent results) and it must be predictive anticipating results that can be verified by experiment. This book shows engineers how to construct or choose such models and how to solve them numerically. These are enormously important tasks in practical engineering. This book is intended for (2nd) 3rd year and graduate students in engineering (particularly electrical, electronic, control) and applied sciences (physics, biology, environmental) wanting an understandable account of numerical modelling. A good mathematical model of a physical situation leads to improved understanding. A good model must be robust and it must be predictive anticipating results that can be verified by experiment. This book shows engineers how to construct or choose such models and how to solve them numerically. These are important tasks in practical engineering. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780198564379
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Paperback. Condizione: new. Paperback. A good mathematical model of a physical situation leads to improved understanding. A good model must be robust (its underlying assumptions must not lead to inconsistent results) and it must be predictive anticipating results that can be verified by experiment. This book shows engineers how to construct or choose such models and how to solve them numerically. These are enormously important tasks in practical engineering. This book is intended for (2nd) 3rd year and graduate students in engineering (particularly electrical, electronic, control) and applied sciences (physics, biology, environmental) wanting an understandable account of numerical modelling. A good mathematical model of a physical situation leads to improved understanding. A good model must be robust and it must be predictive anticipating results that can be verified by experiment. This book shows engineers how to construct or choose such models and how to solve them numerically. These are important tasks in practical engineering. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9780198564379
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