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Numerical Methods for Diffusion Phenomena in Building Physics - A Practical Introduction (Hardcover, 1st ed. 2019) Loot Price: R1,620
Discovery Miles 16 200
Numerical Methods for Diffusion Phenomena in Building Physics - A Practical Introduction (Hardcover, 1st ed. 2019): Nathan...

Numerical Methods for Diffusion Phenomena in Building Physics - A Practical Introduction (Hardcover, 1st ed. 2019)

Nathan Mendes, Marx Chhay, Julien Berger, Denys Dutykh

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Loot Price R1,620 Discovery Miles 16 200 | Repayment Terms: R152 pm x 12*

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This book is the second edition of Numerical methods for diffusion phenomena in building physics: a practical introduction originally published by PUCPRESS (2016). It intends to stimulate research in simulation of diffusion problems in building physics, by providing an overview of mathematical models and numerical techniques such as the finite difference and finite-element methods traditionally used in building simulation tools. Nonconventional methods such as reduced order models, boundary integral approaches and spectral methods are presented, which might be considered in the next generation of building-energy-simulation tools. In this reviewed edition, an innovative way to simulate energy and hydrothermal performance are presented, bringing some light on innovative approaches in the field.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: December 2019
First published: 2019
Authors: Nathan Mendes • Marx Chhay • Julien Berger • Denys Dutykh
Dimensions: 235 x 155 x 21mm (L x W x T)
Format: Hardcover
Pages: 245
Edition: 1st ed. 2019
ISBN-13: 978-3-03-031573-3
Categories: Books > Professional & Technical > Civil engineering, surveying & building > General
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Thermodynamics
Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General
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LSN: 3-03-031573-8
Barcode: 9783030315733

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