Book > Computational Interval Methods For Engineering Applications

Computational Interval Methods for Engineering Applications

Computational Interval Methods for Engineering Applications

Detail Book : Computational Interval Methods for Engineering Applications written by Snehashish Chakraverty, published by Academic Press which was released on 01 November 2020. Download Computational Interval Methods for Engineering Applications Books now! Available in PDF, ePub and Kindle. Computational Interval Methods for Engineering Applications explains how to use classical and advanced interval arithmetic to solve differential equations for a wide range of scientific and engineering problems. In mathematical models where there are variables and parameters of uncertain value, interval methods can be used as an efficient tool for handling this uncertainty. In addition, it can produce rigorous enclosures of solutions of practical problems governed by mathematical equations. Other topics discussed in the book include linear differential equations in areas such as robotics, control theory, and structural dynamics, and in nonlinear oscillators, such as Duffing and Van der Pol. The chaotic behavior of the enclosure of oscillators is also covered, as are static and dynamic analysis of engineering problems using the interval system of linear equations and eigenvalue problems, thus making this a comprehensive resource. Explains how interval arithmetic can be used to solve problems in a range of engineering disciplines, including structural and control Gives unique, comprehensive coverage of traditional and innovative interval techniques, with examples addressing both linear and nonlinear differential equations Provides full mathematical details of the governing differential equations used to solve a wide range of problems

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Author : Snehashish Chakraverty
Release Date : 01 November 2020
Publisher : Academic Press
Rating : 5/5 (from 3 users)
Pages : 220
ISBN : 0128178590
Format : PDF, ePUB, KF8, PDB, MOBI, Tuebl
Computational Interval Methods for Engineering Applications

Computational Interval Methods for Engineering Applications

Computational Interval Methods for Engineering Applications explains how to use classical and advanced interval arithmetic to solve differential equations for a wide range of scientific and engineering problems. In mathematical models where there are variables and parameters of uncertain value, interval methods can be used as an efficient tool for

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Numerical Methods for Engineering Applications

Numerical Methods for Engineering Applications

State-of-the-art numerical methods for solving complex engineering problems Great strides in computer technology have been made in the years since the popular first edition of this book was published. Several excellent software packages now help engineers solve complex problems. Making the most of these programs requires a working knowledge of

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Applications of Interval Computations

Applications of Interval Computations

Primary Audience for the Book • Specialists in numerical computations who are interested in algorithms with automatic result verification. • Engineers, scientists, and practitioners who desire results with automatic verification and who would therefore benefit from the experience of suc cessful applications. • Students in applied mathematics and computer science who want to

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Computational Methods in Engineering

Computational Methods in Engineering

Computational Methods in Engineering brings to light the numerous uses of numerical methods in engineering. It clearly explains the application of these methods mathematically and practically, emphasizing programming aspects when appropriate. By approaching the cross-disciplinary topic of numerical methods with a flexible approach, Computational Methods in Engineering encourages a well-rounded

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Computational Methods in Engineering and Science

Computational Methods in Engineering and Science

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Analytical and Computational Methods of Advanced Engineering Mathematics

Analytical and Computational Methods of Advanced Engineering Mathematics

This book focuses on the topics which provide the foundation for practicing engineering mathematics: ordinary differential equations, vector calculus, linear algebra and partial differential equations. Destined to become the definitive work in the field, the book uses a practical engineering approach based upon solving equations and incorporates computational techniques throughout.

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Theories of Interval Arithmetic

Theories of Interval Arithmetic

Scientists are, all the time, in a struggle with uncertainty which is always a threat to a trustworthy scientific knowledge. A very simple and natural idea, to defeat uncertainty, is that of enclosing uncertain measured values in real closed intervals. On the basis of this idea, interval arithmetic is constructed.

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Scientific Computing  Validated Numerics  Interval Methods

Scientific Computing Validated Numerics Interval Methods

Scan 2000, the GAMM - IMACS International Symposium on Scientific Computing, Computer Arithmetic, and Validated Numerics and Interval 2000, the International Conference on Interval Methods in Science and Engineering were jointly held in Karlsruhe, September 19-22, 2000. The joint conference continued the series of 7 previous Scan-symposia under the joint sponsorship of GAMM and

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Computational Intelligence in Emerging Technologies for Engineering Applications

Computational Intelligence in Emerging Technologies for Engineering Applications

This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufacturing systems, production and storage

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Complex Interval Arithmetic and Its Applications

Complex Interval Arithmetic and Its Applications

The aim of this book is to present formulas and methods developed using complex interval arithmetic. While most of numerical methods described in the literature deal with real intervals and real vectors, there is no systematic study of methods in complex interval arithmetic. The book fills this gap. Several main

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Computational Complexity and Feasibility of Data Processing and Interval Computations

Computational Complexity and Feasibility of Data Processing and Interval Computations

Targeted audience • Specialists in numerical computations, especially in numerical optimiza tion, who are interested in designing algorithms with automatie result ver ification, and who would therefore be interested in knowing how general their algorithms caIi in principle be. • Mathematicians and computer scientists who are interested in the theory 0/ computing and

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Engineering Design Reliability Handbook

Engineering Design Reliability Handbook

Researchers in the engineering industry and academia are making important advances on reliability-based design and modeling of uncertainty when data is limited. Non deterministic approaches have enabled industries to save billions by reducing design and warranty costs and by improving quality. Considering the lack of comprehensive and defini

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Numerical Methods for Chemical Engineering

Numerical Methods for Chemical Engineering

Applications of numerical mathematics and scientific computing to chemical engineering.

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Numerical Methods in Engineering with Python

Numerical Methods in Engineering with Python

Numerical Methods in Engineering with Python, a student text, and a reference for practicing engineers.

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Engineering Applications of Neural Networks

Engineering Applications of Neural Networks

This book constitutes the refereed proceedings of the 18th International Conference on Engineering Applications of Neural Networks, EANN 2017, held in Athens, Greece, in August 2017. The 40 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers cover the topics of deep learning, convolutional neural

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