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  Author: creativelivenew1   |   21 March 2024   |   comments: 0
Numerical Simulation of Plasmas
Free Download Numerical Simulation of Plasmas by Yuri N. Dnestrovskii , Dimitri P. Kostomarov
English | PDF | 1986 | 317 Pages | ISBN : 364282594X | 23.9 MB
This book is devoted to mathematical modeling of tokamak plasma. Since the appearance in 1982 of the first edition (in Russian), a considerable amount of experimental and theoretical material on tokamak research has been accumu lated. The new-generation devices, viz. , TFTR, JET and JT-60 were put into operation. The first experiments on these units have confirmed the correctness of the basic physical concepts underlying their construction. Experiments on plasma heating with the help of neutral beams and high-frequency (HF) waves on previous generation devices made it possible to obtain high-P plasmas. The number of "medium-size" tokamaks in operation has increased. New experi mental results and advances in the theory have led to more complicated and perfected models of high-temperature plasma. Rapid progress in computer hardware and software has played an important role in the further development of mathematical modeling. While preparing the English edition of the book, we have revised the text considerably. Several new models which have undergone significant advance ment in recent years are described. A section devoted to models of RF (radio frequency) current drive has been added to Chap. 2. The reduced magneto hydrodynamic (MHD) equations for high-P plasma are now considered in detail in Chap. 3. Chapter 4 contains the latest results on anomalous thermal conductivity, diffusion coefficient and pinching. Two new sections are added to Chap. 5.

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  Author: creativelivenew1   |   21 March 2024   |   comments: 0
New Results in Numerical and Experimental Fluid Mechanics XII (2024)
Free Download New Results in Numerical and Experimental Fluid Mechanics XII: Contributions to the 21st STAB/DGLR Symposium, Darmstadt, Germany, 2018 by Andreas Dillmann
English | PDF | 2020 | 862 Pages | ISBN : 3030252523 | 170.41 MB
This book gathers contributions to the 21st biannual symposium of the German Aerospace Aerodynamics Association (STAB) and the German Society for Aeronautics and Astronautics (DGLR). The individual chapters reflect ongoing research conducted by the STAB members in the field of numerical and experimental fluid mechanics and aerodynamics, mainly for (but not limited to) aerospace applications, and cover both nationally and EC-funded projects.

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  Author: creativelivenew1   |   21 March 2024   |   comments: 0
Model Tests and Numerical Simulations of Liquefaction and Lateral Spreading LEAP–UCD–2017 (2024)
Free Download Model Tests and Numerical Simulations of Liquefaction and Lateral Spreading: LEAP-UCD-2017 by Bruce L. Kutter
English | EPUB | 2020 | 655 Pages | ISBN : 3030228177 | 195.08 MB
This book presents work collected through the Liquefaction Experiments and Analysis Projects (LEAP) in 2017. It addresses the repeatability, variability, and sensitivity of lateral spreading observed in twenty-four centrifuge model tests on mildly sloping liquefiable sand. The centrifuge tests were conducted at nine different centrifuge facilities around the world.

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  Author: creativelivenew1   |   19 March 2024   |   comments: 0
Deep Learning for Numerical Applications with SAS®
Free Download Deep Learning for Numerical Applications with SAS® By Henry Bequet
2018 | 234 Pages | ISBN: 1635266807 | PDF | 23 MB
Foreword by Oliver Schabenberger, PhD Executive Vice President, Chief Operating Officer and Chief Technology OfficerSAS Dive into deep learning! Machine learning and deep learning are ubiquitous in our homes and workplaces-from machine translation to image recognition and predictive analytics to autonomous driving. Deep learning holds the promise of improving many everyday tasks in a variety of disciplines. Much deep learning literature explains the mechanics of deep learning with the goal of implementing cognitive applications fueled by Big Data. This book is different. Written by an expert in high-performance analytics, Deep Learning for Numerical Applications with SAS® introduces a new field: Deep Learning for Numerical Applications (DL4NA). Contrary to deep learning, the primary goal of DL4NA is not to learn from data but to dramatically improve the performance of numerical applications by training deep neural networks. Deep Learning for Numerical Applications with SAS® presents deep learning concepts in SAS along with step-by-step techniques that allow you to easily reproduce the examples on your high-performance analytics systems. It also discusses the latest hardware innovations that can power your SAS programs: from many-core CPUs to GPUs to FPGAs to ASICs. This book assumes the reader has no prior knowledge of high-performance computing, machine learning, or deep learning. It is intended for SAS developers who want to develop and run the fastest analytics. In addition to discovering the latest trends in hybrid architectures with GPUs and FPGAS, readers will learn how to Use deep learning in SAS Speed up their analytics using deep learning Easily write highly parallel programs using the many task computing paradigms For sample material and supporting resources, please see the author's page. This book is part of the SAS Press program.

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  Author: creativelivenew1   |   18 March 2024   |   comments: 0
A Numerical Approach to the Simplified Laminate Theory of Composite Materials
Free Download A Numerical Approach to the Simplified Laminate Theory of Composite Materials:
The Composite Laminate Analysis Tool―CLAT 1D

English | 2024 | ISBN: 3031479831 | 158 Pages | PDF EPUB (True) | 46 MB

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  Author: creativelivenew1   |   13 March 2024   |   comments: 0
Numerical problems in physical chemistry for IIT–JEE
Free Download P. Bahadur, Shalabh Saxena, "Numerical problems in physical chemistry for IIT-JEE"
English | 2010 | ISBN: 9382314431 | PDF | pages: 429 | 36.0 mb

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  Author: creativelivenew1   |   13 March 2024   |   comments: 0
Numerical Quadrature and Solution of Ordinary Differential Equations
Free Download Numerical Quadrature and Solution of Ordinary Differential Equations: A Textbook for a Beginning Course in Numerical Analysis by A. H. Stroud
English | PDF | 1974 | 346 Pages | ISBN : 0387901000 | 12.5 MB
This is a textbook for a one semester course on numerical analysis for senior undergraduate or beginning graduate students with no previous knowledge of the subject. The prerequisites are calculus, some knowledge of ordinary differential equations, and knowledge of computer programming using Fortran. Normally this should be half of a two semester course, the other semester covering numerical solution of linear systems, inversion of matrices and roots of polynomials. Neither semester should be a prerequisite for the other.

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  Author: creativelivenew1   |   13 March 2024   |   comments: 0
Numerical Modeling in Materials Science and Engineering
Free Download Numerical Modeling in Materials Science and Engineering by Michel Rappaz , Michel Bellet , Michel Deville
English | PDF | 2003 | 543 Pages | ISBN : 3540426760 | 65.3 MB
This book introduces the concepts and methodologies related to the modelling of the complex phenomena occurring in materials processing. After a short reminder of conservation laws and constitutive relationships, the authors introduce the main numerical methods: finite differences, finite volumes and finite elements. These techniques are developed in three main chapters of the book that tackle more specific problems: phase transformation, solid mechanics and fluid flow. The two last chapters treat inverse methods to obtain the boundary conditions or the material properties and stochastic methods for microstructural simulation. This book is intended for undergraduate and graduate students in materials science and engineering, mechanical engineering and physics and for engineering professionals or researchers who want to get acquainted with numerical simulation to model and compute materials processing.

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  Author: creativelivenew1   |   13 March 2024   |   comments: 0
Numerical Methods in Sensitivity Analysis and Shape Optimization
Free Download Numerical Methods in Sensitivity Analysis and Shape Optimization by Emmanuel Laporte , Patrick Tallec
English | PDF | 2003 | 202 Pages | ISBN : 0817643222 | 12.3 MB
Sensitivity analysis and optimal shape design are key issues in engineering that have been affected by advances in numerical tools currently available. This book, and its supplementary online files, presents basic optimization techniques that can be used to compute the sensitivity of a given design to local change, or to improve its performance by local optimization of these data. The relevance and scope of these techniques have improved dramatically in recent years because of progress in discretization strategies, optimization algorithms, automatic differentiation, software availability, and the power of personal computers.

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  Author: creativelivenew1   |   13 March 2024   |   comments: 0
Numerical Machine Learning
Free Download Numerical Machine Learning by Zhiyuan Wang, Sayed Irfan, Christopher Teoh
English | September 6, 2023 | ISBN: N/A | ASIN: B0CHHVW1M2 | 268 pages | MOBI | 18 Mb
Numerical Machine Learning is a simple textbook on machine learning that bridges the gap between mathematics theory and practice. The book uses numerical examples with small datasets and simple Python codes to provide a complete walkthrough of the underlying mathematical steps of seven commonly used machine learning algorithms and techniques, including linear regression, regularization, logistic regression, decision trees, gradient boosting, Support Vector Machine, and K-means Clustering.

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