Tag: Numerical

Numerical and Statistical Methods for Bioengineering Applications in MATLAB


Free Download Numerical and Statistical Methods for Bioengineering: Applications in MATLAB (Cambridge Texts in Biomedical Engineering) by Michael R. King, Nipa A. Mody
English | November 29, 2010 | ISBN: 0521871581 | 594 pages | PDF | 7.33 Mb
The first MATLAB-based numerical methods textbook for bioengineers that uniquely integrates modelling concepts with statistical analysis, while maintaining a focus on enabling the user to report the error or uncertainty in their result. Between traditional numerical method topics of linear modelling concepts, nonlinear root finding, and numerical integration, chapters on hypothesis testing, data regression and probability are interweaved. A unique feature of the book is the inclusion of examples from clinical trials and bioinformatics, which are not found in other numerical methods textbooks for engineers. With a wealth of biomedical engineering examples, case studies on topical biomedical research, and the inclusion of end of chapter problems, this is a perfect core text for a one-semester undergraduate course.

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Hygrothermal Numerical Simulation Tools Applied to Building Physics


Free Download Hygrothermal Numerical Simulation Tools Applied to Building Physics By João M.P.Q. Delgado, Eva Barreira, Nuno M.M. Ramos, Vasco Peixoto de Freitas (auth.)
2013 | 66 Pages | ISBN: 364235002X | PDF | 3 MB
This book presents a critical review on the development and application of hygrothermal analysis methods to simulate the coupled transport processes of Heat, Air, and Moisture (HAM) transfer for one or multidimensional cases. During the past few decades there has been relevant development in this field of study and an increase in the professional use of tools that simulate some of the physical phenomena that are involved in Heat, Air and Moisture conditions in building components or elements. Although there is a significant amount of hygrothermal models referred in the literature, the vast majority of them are not easily available to the public outside the institutions where they were developed, which restricts the analysis of this book to only 14 hygrothermal modelling tools. The special features of this book are (a) a state-of-the-art of numerical simulation tools applied to building physics, (b) the boundary conditions importance, (c) the material properties, namely, experimental methods for the measurement of relevant transport properties, and (d) the numerical investigation and application The main benefit of the book is that it discusses all the topics related to numerical simulation tools in building components (including state-of-the-art and applications) and presents some of the most important theoretical and numerical developments in building physics, providing a self-contained major reference that is appealing to both the scientists and the engineers. At the same time, this book will be going to the encounter of a variety of scientific and engineering disciplines, such as civil and mechanical engineering, architecture, etc… The book is divided in several chapters that intend to be a resume of the current state of knowledge for benefit of professional colleagues.

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Numerical Modelling of Extreme Waves


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English | 2024 | ISBN: 3031770838 | 314 Pages | PDF EPUB (True) | 65 MB
This book describes some approaches for developing the numerical models to efficiently predict the formation of extreme waves which can pose a threat to the safety of marine structures. The numerical algorithms for solving different governing equations and the theoretical probability models for extreme wave predictions are explained in detail. These models can help engineers in the design of marine structures that can withstand extreme waves.

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Modeling Waves with Numerical Calculations Using Python


Free Download Modeling Waves with Numerical Calculations Using Python
English | 2025 | ISBN: 3031782909 | 165 Pages | PDF EPUB (True) | 35 MB
Numerical calculations (what many call computational physics) is a core tool in modern physics. With numerical methods it’s possible to solve problems that would otherwise be impossible. Most physics students and educators have at least some exposure to the wave equation. It shows up in many different contexts-light, quantum mechanics, and even a simple wave on a string. However, it can be difficult to come up with non-trivial solutions to the wave equation. This text goes through the techniques to create a numerical model of the wave equation starting from the very basics and using free and open source tools such as Python and Web VPython.

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Numerical Exploration of Isolated GaAs-AlGaAs Quantum Well (Synthesis Lectures on Engineering, Science, and Technology)


Free Download Numerical Exploration of Isolated GaAs-AlGaAs Quantum Well (Synthesis Lectures on Engineering, Science, and Technology) by Sujaul Chowdhury, Urmi Talukder
English | April 24, 2024 | ISBN: 3031538153 | 99 pages | MOBI | 7.30 Mb
This book begins with the eigenvalue equation of energy and presents calculation of the energy spectrum of GaAs-AlGaAs Quantum Well using finite difference method and knowledge of potential energy profile, without using expressions for eigenfunctions, continuity of eigenfunctions, or their spatial derivatives at the two abrupt potential steps. The authors find that the results are almost the same as those obtained by solving numerically using regula falsi method, and transcendental equations that are obeyed by the energy levels, where the transcendental equations are obtained by requiring continuity of eigenfunctions and of their spatial derivatives at the two potential steps. Thus, this book confirms that it is possible to numerically calculate the energy spectrum of Quantum Well by the finite difference method when it is not correct or when it is not possible to use continuity of eigenfunctions and their spatial derivatives at the two abrupt potential steps. The authors also showthat it is possible to use the finite difference method in cases where the potential steps are non-abrupt. The book demonstrates this by calculating the energy spectrum of isolated parabolic Quantum Well of finite depth using finite difference method.

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Numerical Simulation of Turbulent Flows and Noise Generation Results of the DFGCNRS Research Groups FOR 507 and FOR 508


Free Download W. Schröder, Christophe Brun, Daniel Juvé, "Numerical Simulation of Turbulent Flows and Noise Generation: Results of the DFG/CNRS Research Groups FOR 507 and FOR 508"
English | 2009 | pages: 344 | ISBN: 3540899553 | PDF | 20,5 mb
Large Eddy Simulation (LES) is a high-fidelity approach to the numerical simulation of turbulent flows. Recent developments have shown LES to be able to predict aerodynamic noise generation and propagation as well as the turbulent flow, by means of either a hybrid or a direct approach.

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Approximation Theory and Numerical Analysis Meet Algebra, Geometry, Topology


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English | 2024 | ISBN: 9819765072 | 333 Pages | PDF EPUB (True) | 45 MB
Splines are mathematical objects which allow researchers in geometric modeling and approximation theory to tackle a wide variety of questions. Splines are interesting for both applied mathematicians, and also for those working in purely theoretical mathematical settings. This book contains contributions by researchers from different mathematical communities: on the applied side, those working in numerical analysis and approximation theory, and on the theoretical side, those working in GKM theory, equivariant cohomology and homological algebra.

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Numerical Python Scientific Computing and Data Science Applications with Numpy, SciPy and MatDescriptionlib


Free Download Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and MatDescriptionlib by Robert Johansson
English | September 28, 2024 | ISBN: 8868804123 | 512 pages | MOBI | 21 Mb
Learn how to leverage the scientific computing and data analysis capabilities of Python, its standard library, and popular open-source numerical Python packages like NumPy, SymPy, SciPy, matDescriptionlib, and more. This book demonstrates how to work with mathematical modeling and solve problems with numerical, symbolic, and visualization techniques. It explores applications in science, engineering, data analytics, and more.

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