101,89 €
Mathematical Modelling
Mathematical Modelling
  • Išparduota
Mathematical Modelling
Mathematical Modelling
El. knyga:
101,89 €
This book provides a thorough introduction to thechallenge of applying mathematics in real-world scenarios. Modelling tasksrarely involve well-defined categories, and they often requiremultidisciplinary input from mathematics, physics, computer sciences, orengineering. In keeping with this spirit of modelling, the book includes awealth of cross-references between the chapters and frequently points to thereal-world context.The book combines classical approaches to modellingwith novel areas such…

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101,89 € El. knyga

Aprašymas

This book provides a thorough introduction to the
challenge of applying mathematics in real-world scenarios. Modelling tasks
rarely involve well-defined categories, and they often require
multidisciplinary input from mathematics, physics, computer sciences, or
engineering. In keeping with this spirit of modelling, the book includes a
wealth of cross-references between the chapters and frequently points to the
real-world context.

The book combines classical approaches to modelling
with novel areas such as soft computing methods, inverse problems, and model
uncertainty. Attention is also paid to the interaction between models, data and
the use of mathematical software. The reader will find a broad selection of
theoretical tools for practicing industrial mathematics, including the analysis
of continuum models, probabilistic and discrete phenomena, and asymptotic and
sensitivity analysis.

101,89 €
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This book provides a thorough introduction to the
challenge of applying mathematics in real-world scenarios. Modelling tasks
rarely involve well-defined categories, and they often require
multidisciplinary input from mathematics, physics, computer sciences, or
engineering. In keeping with this spirit of modelling, the book includes a
wealth of cross-references between the chapters and frequently points to the
real-world context.

The book combines classical approaches to modelling
with novel areas such as soft computing methods, inverse problems, and model
uncertainty. Attention is also paid to the interaction between models, data and
the use of mathematical software. The reader will find a broad selection of
theoretical tools for practicing industrial mathematics, including the analysis
of continuum models, probabilistic and discrete phenomena, and asymptotic and
sensitivity analysis.

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