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Statics With Matlabr
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Book Synopsis Statics with MATLAB® by : Dan B. Marghitu
Download or read book Statics with MATLAB® written by Dan B. Marghitu and published by Springer Science & Business Media. This book was released on 2013-06-13 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineering mechanics involves the development of mathematical models of the physical world. Statics addresses the forces acting on and in mechanical objects and systems. Statics with MATLAB® develops an understanding of the mechanical behavior of complex engineering structures and components using MATLAB® to execute numerical calculations and to facilitate analytical calculations. MATLAB® is presented and introduced as a highly convenient tool to solve problems for theory and applications in statics. Included are example problems to demonstrate the MATLAB® syntax and to also introduce specific functions dealing with statics. These explanations are reinforced through figures generated with MATLAB® and the extra material available online which includes the special functions described. This detailed introduction and application of MATLAB® to the field of statics makes Statics with MATLAB® a useful tool for instruction as well as self study, highlighting the use of symbolic MATLAB® for both theory and applications to find analytical and numerical solutions
Book Synopsis Engineering Statics with MATLAB® by : Lester W. Schmerr Jr.
Download or read book Engineering Statics with MATLAB® written by Lester W. Schmerr Jr. and published by CRC Press. This book was released on 2024-03-07 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text makes use of symbolic algebra and vector-matrix algebra to demonstrate a new approach to learning statics. Symbolic solutions are obtained, together with the types of solutions covered in other texts, so that students can see the advantages of this new approach. This innovative text is an extension of second-generation vector Statics courses to a new, third-generation matrix-vector Statics course, a course that addresses deformable as well as rigid bodies and employs MATLAB®. MATLAB® is used as a “calculator” whose built-in functions are used to solve statics problems. This text uses vectors and matrices to solve both statically determinate rigid body problems and statically indeterminate problems for deformable bodies. The inclusion of statically indeterminate problems is unique to this text. It is made possible by using symbolic algebra and a new, simplified vector-matrix formulation that combines the equations of equilibrium, the homogeneous solutions to those equations, and a description of the flexibilities found in the deformable elements of a structure to solve directly for the unknown forces/moments.
Book Synopsis Statistics in Engineering by : Andrew Metcalfe
Download or read book Statistics in Engineering written by Andrew Metcalfe and published by CRC Press. This book was released on 2019-01-25 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineers are expected to design structures and machines that can operate in challenging and volatile environments, while allowing for variation in materials and noise in measurements and signals. Statistics in Engineering, Second Edition: With Examples in MATLAB and R covers the fundamentals of probability and statistics and explains how to use these basic techniques to estimate and model random variation in the context of engineering analysis and design in all types of environments. The first eight chapters cover probability and probability distributions, graphical displays of data and descriptive statistics, combinations of random variables and propagation of error, statistical inference, bivariate distributions and correlation, linear regression on a single predictor variable, and the measurement error model. This leads to chapters including multiple regression; comparisons of several means and split-plot designs together with analysis of variance; probability models; and sampling strategies. Distinctive features include: All examples based on work in industry, consulting to industry, and research for industry Examples and case studies include all engineering disciplines Emphasis on probabilistic modeling including decision trees, Markov chains and processes, and structure functions Intuitive explanations are followed by succinct mathematical justifications Emphasis on random number generation that is used for stochastic simulations of engineering systems, demonstration of key concepts, and implementation of bootstrap methods for inference Use of MATLAB and the open source software R, both of which have an extensive range of statistical functions for standard analyses and also enable programing of specific applications Use of multiple regression for times series models and analysis of factorial and central composite designs Inclusion of topics such as Weibull analysis of failure times and split-plot designs that are commonly used in industry but are not usually included in introductory textbooks Experiments designed to show fundamental concepts that have been tested with large classes working in small groups Website with additional materials that is regularly updated Andrew Metcalfe, David Green, Andrew Smith, and Jonathan Tuke have taught probability and statistics to students of engineering at the University of Adelaide for many years and have substantial industry experience. Their current research includes applications to water resources engineering, mining, and telecommunications. Mahayaudin Mansor worked in banking and insurance before teaching statistics and business mathematics at the Universiti Tun Abdul Razak Malaysia and is currently a researcher specializing in data analytics and quantitative research in the Health Economics and Social Policy Research Group at the Australian Centre for Precision Health, University of South Australia. Tony Greenfield, formerly Head of Process Computing and Statistics at the British Iron and Steel Research Association, is a statistical consultant. He has been awarded the Chambers Medal for outstanding services to the Royal Statistical Society; the George Box Medal by the European Network for Business and Industrial Statistics for Outstanding Contributions to Industrial Statistics; and the William G. Hunter Award by the American Society for Quality.
Book Synopsis Solving Statics Problems in MATLAB by Brian Harper to accompany Engineering Mechanics Statics 6e by Meriam and Kraige by : J. L. Meriam
Download or read book Solving Statics Problems in MATLAB by Brian Harper to accompany Engineering Mechanics Statics 6e by Meriam and Kraige written by J. L. Meriam and published by Wiley. This book was released on 2006-09-11 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Solving Statics Problems in MATLAB by : Brian D. Harper
Download or read book Solving Statics Problems in MATLAB written by Brian D. Harper and published by . This book was released on 2002 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Solving Statics Problems with Matlab by : J. L. Meriam
Download or read book Solving Statics Problems with Matlab written by J. L. Meriam and published by Wiley. This book was released on 2001-09-11 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past 50 years, Meriam & Kraige's Engineering Mechanics: Statics has established a highly respected tradition of Excellence—A Tradition that emphasizes accuracy, rigor, clarity, and applications. Now completely revised, redesigned, and modernized, the fifth edition of this classic text builds on these strengths, adding new problems and a more accessible, student-friendly presentation. Solving Statics Problems with Matlab If MATLAB is the operating system you need to use for your engineering calculations and problem solving, this reference will be a valuable tutorial for your studies. Written as a guidebook for students in the Engineering Statics class, it will help you with your engineering assignments throughout the course.
Author :Joaquim P. Marques de Sá Publisher :Springer Science & Business Media ISBN 13 :3662058049 Total Pages :466 pages Book Rating :4.6/5 (62 download)
Book Synopsis Applied Statistics Using SPSS, STATISTICA and MATLAB by : Joaquim P. Marques de Sá
Download or read book Applied Statistics Using SPSS, STATISTICA and MATLAB written by Joaquim P. Marques de Sá and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assuming no previous statistics education, this practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical examples using real data, and includes a CD-ROM with software tools and data sets used in the examples and exercises. Readers learn which software tools to apply and also gain insights into the comparative capabilities of the primary software packages.
Download or read book R and MATLAB written by David E. Hiebeler and published by CRC Press. This book was released on 2018-09-03 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: The First Book to Explain How a User of R or MATLAB Can Benefit from the Other In today’s increasingly interdisciplinary world, R and MATLAB® users from different backgrounds must often work together and share code. R and MATLAB® is designed for users who already know R or MATLAB and now need to learn the other platform. The book makes the transition from one platform to the other as quick and painless as possible. Enables R and MATLAB Users to Easily Collaborate and Share Code The author covers essential tasks, such as working with matrices and vectors, writing functions and other programming concepts, graphics, numerical computing, and file input/output. He highlights important differences between the two platforms and explores common mistakes that are easy to make when transitioning from one platform to the other.
Book Synopsis Engineering Statics with MATLAB® by : Lester W Schmerr Jr
Download or read book Engineering Statics with MATLAB® written by Lester W Schmerr Jr and published by Advances in Applied Mathematics. This book was released on 2024-02-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text makes use of symbolic algebra and vector-matrix algebra to demonstrate a new approach to learning statics. Symbolic solutions are obtained, together with the types of solutions covered in other texts, so that students can see the advantages of this new approach. This innovative text is an extension of second-generation vector Statics courses to a new, third generation matrix-vector Statics course, a course that addresses deformable as well as rigid bodies and employs MATLAB(R). MATLAB(R) is used as a "calculator" whose built-in functions are used to solve statics problems. This text uses vectors and matrices to solve both statically determinate rigid body problems as well as statically indeterminate problems for deformable bodies. The inclusion of statically indeterminate problems is unique to this text. It is made possible by using symbolic algebra and a new, simplified vector-matrix formulation that combines the equations of equilibrium, the homogeneous solutions to those equations, and a description of the flexibilities found in the deformable elements of a structure to solve directly for the unknown forces/moments.
Author :Joaquim P. Marques de Sá Publisher :Springer Science & Business Media ISBN 13 :3540719725 Total Pages :505 pages Book Rating :4.5/5 (47 download)
Book Synopsis Applied Statistics Using SPSS, STATISTICA, MATLAB and R by : Joaquim P. Marques de Sá
Download or read book Applied Statistics Using SPSS, STATISTICA, MATLAB and R written by Joaquim P. Marques de Sá and published by Springer Science & Business Media. This book was released on 2007-05-28 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended for anyone needing to apply statistical analysis to a large variety of science and engineering problems, this book shows how to use SPSS, MATLAB, STATISTICA and R for data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The 2nd edition includes the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers, plus additional examples and exercises.
Book Synopsis Matlab Supplement by : Robert W. Soutas-Little
Download or read book Matlab Supplement written by Robert W. Soutas-Little and published by . This book was released on 1999 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This supplement to Engineering mechanics : statics / Soutas-Little and Inman, provides all of the necessary instructions to use recent versions of MATLAB software.
Book Synopsis Functional Data Analysis with R and MATLAB by : James Ramsay
Download or read book Functional Data Analysis with R and MATLAB written by James Ramsay and published by Springer Science & Business Media. This book was released on 2009-06-29 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides an application-oriented overview of functional analysis, with extended and accessible presentations of key concepts such as spline basis functions, data smoothing, curve registration, functional linear models and dynamic systems Functional data analysis is put to work in a wide a range of applications, so that new problems are likely to find close analogues in this book The code in R and Matlab in the book has been designed to permit easy modification to adapt to new data structures and research problems
Book Synopsis Practical Biomedical Signal Analysis Using MATLAB by : Katarzyn Blinowska
Download or read book Practical Biomedical Signal Analysis Using MATLAB written by Katarzyn Blinowska and published by CRC Press. This book was released on 2011-09-12 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Biomedical Signal Analysis Using MATLAB presents a coherent treatment of various signal processing methods and applications. The book not only covers the current techniques of biomedical signal processing, but it also offers guidance on which methods are appropriate for a given task and different types of data.The first several chapters o
Book Synopsis Practical Biomedical Signal Analysis Using MATLAB® by : Katarzyna J. Blinowska
Download or read book Practical Biomedical Signal Analysis Using MATLAB® written by Katarzyna J. Blinowska and published by CRC Press. This book was released on 2021-10-18 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering the latest cutting-edge techniques in biomedical signal processing while presenting a coherent treatment of various signal processing methods and applications, this second edition of Practical Biomedical Signal Analysis Using MATLAB® also offers practical guidance on which procedures are appropriate for a given task and different types of data. It begins by describing signal analysis techniques—including the newest and most advanced methods in the field—in an easy and accessible way, illustrating them with Live Script demos. MATLAB® routines are listed when available, and freely available software is discussed where appropriate. The book concludes by exploring the applications of the methods to a broad range of biomedical signals while highlighting common problems encountered in practice. These chapters have been updated throughout and include new sections on multiple channel analysis and connectivity measures, phase-amplitude analysis, functional near-infrared spectroscopy, fMRI (BOLD) signals, wearable devices, multimodal signal analysis, and brain-computer interfaces. By providing a unified overview of the field, this book explains how to integrate signal processing techniques in biomedical applications properly and explores how to avoid misinterpretations and pitfalls. It helps readers to choose the appropriate method as well as design their own methods. It will be an excellent guide for graduate students studying biomedical engineering and practicing researchers in the field of biomedical signal analysis. Features: Fully updated throughout with new achievements, technologies, and methods and is supported with over 40 original MATLAB Live Scripts illustrating the discussed techniques, suitable for self-learning or as a supplement to college courses Provides a practical comparison of the advantages and disadvantages of different approaches in the context of various applications Applies the methods to a variety of signals, including electric, magnetic, acoustic, and optical Katarzyna J. Blinowska is a Professor emeritus at the University of Warsaw, Poland, where she was director of Graduate Studies in Biomedical Physics and head of the Department of Biomedical Physics. Currently, she is employed at the Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences. She has been at the forefront in developing new advanced time-series methods for research and clinical applications. Jarosław Żygierewicz is a Professor at the University of Warsaw, Poland. His research focuses on developing methods for analyzing EEG and MEG signals, brain-computer interfaces, and applications of machine learning in signal processing and classification.
Book Synopsis MATLAB® Recipes for Earth Sciences by : Martin H. Trauth
Download or read book MATLAB® Recipes for Earth Sciences written by Martin H. Trauth and published by Springer Science & Business Media. This book was released on 2007 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces methods of data analysis in geosciences using MATLAB such as basic statistics for univariate, bivariate and multivariate datasets, jackknife and bootstrap resampling schemes, processing of digital elevation models, gridding and contouring, geostatistics and kriging, processing and georeferencing of satellite images, digitizing from the screen, linear and nonlinear time-series analysis and the application of linear time-invariant and adaptive filters. Includes a brief description of each method and numerous examples demonstrating how MATLAB can be used on data sets from earth sciences.
Book Synopsis Introduction to Numerical Electrostatics Using MATLAB by : Lawrence N. Dworsky
Download or read book Introduction to Numerical Electrostatics Using MATLAB written by Lawrence N. Dworsky and published by John Wiley & Sons. This book was released on 2014-02-20 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Readers are guided step by step through numerous specific problems and challenges, covering all aspects of electrostatics with an emphasis on numerical procedures. The author focuses on practical examples, derives mathematical equations, and addresses common issues with algorithms. Introduction to Numerical Electrostatics contains problem sets, an accompanying web site with simulations, and a complete list of computer codes. Computer source code listings on accompanying web site Problem sets included with book Readers using MATLAB or other simulation packages will gain insight as to the inner workings of these packages, and how to account for their limitations Example computer code is provided in MATLAB Solutions Manual The first book of its kind uniquely devoted to the field of computational electrostatics
Book Synopsis Handbook of Computational Finance by : Jin-Chuan Duan
Download or read book Handbook of Computational Finance written by Jin-Chuan Duan and published by Springer Science & Business Media. This book was released on 2011-10-25 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt: Any financial asset that is openly traded has a market price. Except for extreme market conditions, market price may be more or less than a “fair” value. Fair value is likely to be some complicated function of the current intrinsic value of tangible or intangible assets underlying the claim and our assessment of the characteristics of the underlying assets with respect to the expected rate of growth, future dividends, volatility, and other relevant market factors. Some of these factors that affect the price can be measured at the time of a transaction with reasonably high accuracy. Most factors, however, relate to expectations about the future and to subjective issues, such as current management, corporate policies and market environment, that could affect the future financial performance of the underlying assets. Models are thus needed to describe the stochastic factors and environment, and their implementations inevitably require computational finance tools.
