the Nest of Students

Rao V. Dukkipati ... 680 pages - Publisher: Anshan Publishers; (October, 2010) ... Language: English - ISBN-10: 1904798675 - ISBN-13: 978-1848290433

This book presents an introduction to MATLAB and its applications in engineering problem solving. It is designed as an introductory course in MATLAB for engineers. The classical methods of electrical circuits,control systems, numerical methods, optimization, direct numerical integration methods, engineering mechanics and mechanical vibrations are covered using MATLAB software. The numerous worked examples and unsolved exercise problems are intended to provide the reader with an awareness of the general applicability to electrical circuits, control systems, numerical methods, optimization, direct numerical integration methods, engineering mechanics and mechanical vibrations using MATLAB. Contents: MATLAB Basics - Electrical Circuits - Control Systems - Numerical Methods - Optimization - Direct Numerical Integration Methods - Engineering Mechanics - Mechanical Vibration.

Shahab Araghinejad ... 292 pages - Publisher: Springer; (November, 2013) ... Language: English - ASIN: B00GX4O36Y by Amazon Digital Services ...

“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com.  The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering

Emilson Pereira Leite ... 214 pages - Publisher: InTech ... ISBN-13: 978-9533076591 ... The purpose of this book is to present 10 scientific and engineering works whose numerical and graphical analysis were all constructed using the power of MATLAB® tools. The first five chapters of this book show applications in seismology, meteorology and natural environment. Chapters 6 and 7 focus on modeling and simulation of Water Distribution Networks. Simulation was also applied to study wide area protection for interconnected power grids (Chapter 8) and performance of conical antennas (Chapter 9). The last chapter deals with depth positioning of underwater robot vehicles. Therefore, this book is a collection of interesting examples of where this computational package can be applied.

George A. Anastassiou, Iuliana F. Iatan ... 582 pages - Publisher: Springer; (July, 2012) ... Language: English - ISBN-10: 3642284744 - ISBN-13: 978-3642284748 ... 

Walter Gander, Martin J. Gander, Felix Kwok ... 905 pages - Publisher: Springer; (April, 2014) ... Language: English - ISBN-10: 3319043242 - ISBN-13: 978-3319043241 ...

Scientific computing is the study of how to use computers effectively to solve problems that arise from the mathematical modeling of phenomena in science and engineering. It is based on mathematics, numerical and symbolic/algebraic computations and visualization. This book serves as an introduction to both the theory and practice of scientific computing, with each chapter presenting the basic algorithms that serve as the workhorses of many scientific codes; we explain both the theory behind these algorithms and how they must be implemented in order to work reliably in finite-precision arithmetic. The book includes many programs written in Matlab and Maple – Maple is often used to derive numerical algorithms, whereas Matlab is used to implement them. The theory is developed in such a way that students can learn by themselves as they work through the text. Each chapter contains numerous examples and problems to help readers understand the material “hands-on”.

Alfio Quarteroni, Fausto Saleri ... 450 pages - Publisher: Springer; 4th edition (August, 2016) ... Language: English - ISBN-10: 3662517582 - ISBN-13: 978-3662517581 ...

This textbook is an introduction to Scientific Computing, in which several numerical methods for the computer-based solution of certain classes of mathematical problems are illustrated. The authors show how to compute the zeros, the extrema, and the integrals of continuous functions, solve linear systems, approximate functions using polynomials and construct accurate approximations for the solution of ordinary and partial differential equations. To make the format concrete and appealing, the programming environments Matlab and Octave are adopted as faithful companions. The book contains the solutions to several problems posed in exercises and examples, often originating from important applications. At the end of each chapter, a specific section is devoted to subjects which were not addressed in the book and contains bibliographical references for a more comprehensive treatment of the material.

Antony Unwin, Martin Theus, Heike Hofmann ... 271 pages - Publisher: Springer; (July, 2006) ... Language: English - ISBN-10: 0387329064 - ISBN-13: 978-0387329062 ...

This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases, or large in numbers of variables, or large in both. All ideas are illustrated with displays from analyses of real datasets and the importance of interpreting displays effectively is emphasized. Graphics should be drawn to convey information and the book includes many insightful examples. New approaches to graphics are needed to visualize the information in large datasets and most of the innovations described in this book are developments of standard graphics. The book is accessible to readers with some experience of drawing statistical graphics. Graphics are great for exploring data, but how can they be used for looking at the large datasets that are commonplace to-day? This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases or large in numbers of variables or large in both. Data visualization is useful for data cleaning, exploring data, identifying trends and clusters, spotting local patterns, evaluating modeling output, and presenting results. It is essential for exploratory data analysis and data mining. Data analysts, statisticians, computer scientists-indeed anyone who has to explore a large dataset of their own-should benefit from reading this book. New approaches to graphics are needed to visualize the information in large datasets and most of the innovations described in this book are developments of standard graphics. There are considerable advantages in extending displays which are well-known and well-tried, both in understanding how best to make use of them in your work and in presenting results to others. It should also make the book readily accessible for readers who already have a little experience of drawing statistical graphics. All ideas are illustrated with displays from analyses of real datasets and the authors emphasize the importance of interpreting displays effectively. Graphics should be drawn to convey information and the book includes many insightful examples.

Thomas Holland, Patrick Marchand ... 542 pages - Publisher: Chapman and Hall/CRC; 3rd edition (November, 2002) ... Language: English - ISBN-10: 1584883200 - ISBN-13: 978-1584883203 ...

MATLAB®, now the industry-standard engineering language for computation, analysis, and visualization, continues to evolve in its capabilities. Version 6.x incorporated several major improvements, including significant enhancements to its graphics features, such as transparencies, increased 3-D visualization, and an improved rendering engine. The bestselling Graphics and GUIs with MATLAB has been fully revised to reflect MATLAB version 6. The third edition also features a number of improvements in both content and organization that ensure its readers get the optimum level of detail and best possible instruction. New in the Third Edition: Full updates that reflect MATLAB 6.x enhancements * Expanded discussions on 2-D and 3-D graphics * New chapters on good GUI design and data visualization techniques * Volume visualizations * Updated language commands * Deeper coverage of programming techniques, such as data structures and callback techniques * Exercises in each chapter * Additional examples and updated illustrations. Graphics and GUIs with MATLAB, Third Edition retains the comprehensible, almost conversational tutorial style that made its predecessors so popular but offers a streamlined organization and deeper coverage that make this edition an even better way to acquire or increase proficiency in using MATLAB to its fullest graphics capabilities.

Marvin L. ... 418 pages - Publisher: CreateSpace Independent Publishing Platform; (October, 2016) ... Language: English - ISBN-10: 1539701956 - ISBN-13: 978-1539701958 ...

Neural Network Toolbox provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control. The toolbox includes convolutional neural network and autoencoder deep learning algorithms for image classification and feature learning tasks. To speed up training of large data sets, you can distribute computations and data across multicore processors, GPUs, and computer clusters using Parallel Computing Toolbox. The more importan features are de next: •Deep learning, including convolutional neural networks and autoencoders •Parallel computing and GPU support for accelerating training (with Parallel Computing Toolbox •Supervised learning algorithms, including multilayer, radial basis, learning vector quantization (LVQ), time-delay, nonlinear autoregressive (NARX), and recurrent neural network (RNN) •Unsupervised learning algorithms, including self-organizing maps and competitive layers •Apps for data-fitting, pattern recognition, and clustering •Preprocessing, postprocessing, and network visualization for improving training efficiency and assessing network performance •Simulink blocks for building and evaluating neural networks and for control systems applications.

Leonid Burstein ... 279 pages - Publisher: Bentham Science; (2013) ... Language: English - ISBN-13: 978-1608058051.

This e-book provides readers a short introductory MATLAB course oriented towards various collaborative areas of biotechnology and bioscience. The text concentrates on MATLAB fundamentals and gives examples of its application to various problems in computational biology, molecular biology, biokinetics, biomedicine, bioinformatics, and biotechnology. MATLAB is presented with examples and applications to various school-level and advanced life science / bioengineering problems - from growing populations of microorganisms and population dynamics, reaction kinetics and reagent concentrations, predator-prey models, to data fitting and time series analysis.

Thorsten Wagener, Hoshin V. Gupta, Howard S. Wheater ...
332 pages - Publisher: Imperial College Press; (September, 2004) ... Language: English - ISBN-10: 1860944663 - ISBN-13: 978-1860944666 ...

This important monograph is based on the results of a study on the identification of conceptual lumped rainfall-runoff models for gauged and ungauged catchments. The task of model identification remains difficult despite decades of research. A detailed problem analysis and an extensive review form the basis for the development of a Matlab® modelling toolkit consisting of two components: a Rainfall-Runoff Modelling Toolbox (RRMT) and a Monte Carlo Analysis Toolbox (MCAT). These are subsequently applied to study the tasks of model identification and evaluation. A novel dynamic identifiability approach has been developed for the gauged catchment case. The theory underlying the application of rainfall-runoff models for predictions in ungauged catchments is studied, problems are highlighted and promising ways to move forward are investigated. Modelling frameworks for both gauged and ungauged cases are developed. This book presents the first extensive treatment of rainfall-runoff model identification in gauged and ungauged catchments.

Eduardo Souza de Cursi ... 430 pages - Publisher: Wiley-ISTE; 1st edition (October, 2015) ...
Language: English - ASIN: B016BNHF34 by Amazon Digital Services ...

This book is issued from a 30 years’ experience on the presentation of variational methods to successive generations of students and researchers in Engineering. It gives a comprehensive, pedagogical and engineer-oriented presentation of the foundations of variational methods and of their use in numerical problems of Engineering. Particular applications to linear and nonlinear systems of equations, differential equations, optimization and control are presented. MATLAB programs illustrate the implementation and make the book suitable as a textbook and for self-study. The evolution of knowledge, of the engineering studies and of the society in general has led to a change of focus from students and researchers. New generations of students and researchers do not have the same relations to mathematics as the previous ones. In the particular case of variational methods, the presentations used in the past are not adapted to the previous knowledge, the language and the centers of interest of the new generations. Since these methods remain a core knowledge – thus essential - in many fields (Physics, Engineering, Applied Mathematics, Economics, Image analysis), a new presentation is necessary in order to address variational methods to the actual context.

Steven Chapra, R. Canale ... 992 pages - Publisher: McGraw-Hill; 7th edition (May, 2014) ...
Language: English - ISBN-10: 1259170543 - ISBN-13: 978-1259170546 ...

The seventh edition of Chapra and Canale's Numerical Methods for Engineers retains the instructional techniques that have made the text so successful. Chapra and Canale's unique approach opens each part of the text with sections called "Motivation," "Mathematical Background," and "Orientation." Each part closes with an "Epilogue" containing "Trade-Offs," "Important Relationships and Formulas," and "Advanced Methods and Additional References." Much more than a summary, the Epilogue deepens understanding of what has been learned and provides a peek into more advanced methods. Helpful separate Appendices. "Getting Started with MATLAB" and "Getting Started with Mathcad" which make excellent references. Numerous new or revised problems are drawn from actual engineering practice. The expanded breadth of engineering disciplines covered is especially evident in these exercises, which now cover such areas as biotechnology and biomedical engineering. Excellent new examples and case studies span all areas of engineering giving students a broad exposure to various fields in engineering. Users will find use of files for many popular software packages, specifically MATLAB®, Excel® with VBA, and Mathcad®. There is also material on developing MATLAB® m-files and VBA macros.

Ian M. Smith, V. Griffiths ... 492 pages - Publisher: Chapman and Hall/CRC; 2nd edition (June, 2006) ... Language: English - ISBN-10: 1584884010 - ISBN-13: 978-1584884019 ...

Although pseudocodes, Mathematica®, and MATLAB® illustrate how algorithms work, designers of engineering systems write the vast majority of large computer programs in the Fortran language. Using Fortran 95 to solve a range of practical engineering problems, Numerical Methods for Engineers, Second Edition provides an introduction to numerical methods, incorporating theory with concrete computing exercises and programmed examples of the techniques presented. Covering a wide range of numerical applications that have immediate relevancy for engineers, the book describes forty-nine programs in Fortran 95. Many of the programs discussed use a sub-program library called nm_lib that holds twenty-three subroutines and functions. In addition, there is a precision module that controls the precision of calculations. Well-respected in their field, the authors discuss a variety of numerical topics related to engineering. Some of the chapter features include… The numerical solution of sets of linear algebraic equations - Roots of single nonlinear equations and sets of nonlinear equations - Numerical quadrature, or numerical evaluation of integrals - An introduction to the solution of partial differential equations using finite difference and finite element approaches. Describing concise programs that are constructed using sub-programs wherever possible, this book presents many different contexts of numerical analysis, forming an excellent introduction to more comprehensive subroutine libraries such as the numerical algorithm group (NAG)..

A. David Wunsch ... 360 pages - Publisher: CRC Press; (April, 2016) ... Language: English - ISBN-10: 1498755674 - ISBN-13: 978-1498755672 ...

This book is intended for someone learning functions of a complex variable and who enjoys using MATLAB. It will enhance the exprience of learning complex variable theory and will strengthen the knowledge of someone already trained in ths branch of advanced calculus. ABET, the accrediting board for engineering programs, makes it clear that engineering graduates must be skilled in the art of programming in a language such as MATLAB^®. Supplying students with a bridge between the functions of complex variable theory and MATLAB, this supplemental text enables instructors to easily add a MATLAB component to their complex variables courses. A MATLAB^® Companion to Complex Variables provides readers with a clear understanding of the utility of MATLAB in complex variable calculus. An ideal adjunct to standard texts on the functions of complex variables, the book allows professors to quickly find and assign MATLAB programming problems that will strengthen students’ knowledge of the language and concepts of complex variable theory. The book shows students how MATLAB can be a powerful learning aid in such staples of complex variable theory as conformal mapping, infinite series, contour integration, and Laplace and Fourier transforms. In addition to MATLAB programming problems, the text includes many examples in each chapter along with MATLAB code. Fractals, the most recent interesting topic involving complex variables, demands to be treated with a language such as MATLAB. This book concludes with a Coda, which is devoted entirely to this visually intriguing subject. MATLAB is not without constraints, limitations, irritations, and quirks, and there are subtleties involved in performing the calculus of complex variable theory with this language. Without knowledge of these subtleties, engineers or scientists attempting to use MATLAB for solutions of practical problems in complex variable theory suffer the risk of making major mistakes. This book serves as an early warning system about these pitfalls.

Jim Sizemore, J. P. Mueller ... 432 pages - Publisher: For Dummies; 2nd edition (November, 2014) ... Language: English - ISBN-10: 111882010X - ISBN-13: 978-1118820100 ...

Walter Gander ... 149 pages -Publisher: Springer; 1st edition (December, 2015) ...
Language: English - ISBN-10: 3319253263 - ISBN-13: 978-3319253268 ...

This comprehensive and stimulating introduction to Matlab, a computer language now widely used for technical computing, is based on an introductory course held at Qian Weichang College, Shanghai University, in the fall of 2014. Teaching and learning a substantial programming language aren’t always straightforward tasks. Accordingly, this textbook is not meant to cover the whole range of this high-performance technical programming environment, but to motivate first- and second-year undergraduate students in mathematics and computer science to learn Matlab by studying representative problems, developing algorithms and programming them in Matlab. While several topics are taken from the field of scientific computing, the main emphasis is on programming. A wealth of examples are completely discussed and solved, allowing students to learn Matlab by doing: by solving problems, comparing approaches and assessing the proposed solutions.