the Nest of Students

Bassem R. Mahafza ... 552 pages - Publisher: Chapman and Hall/CRC; 1st edition (June, 2000) ... Language: English - ISBN-10: 1584881828 - ISBN-13: 978-1584881827 ...

Imagine the ideal radar book. What criteria define it?: Provides a detailed useful reference for working engineers and can serve as an advanced graduate textbook * Stands on its own as a complete presentation of the subject * Includes examples and exercise problems * Helps readers move beyond the theory into the real world of radar design and analysis. Radar Systems Analysis and Design Using MATLAB does all this and more. Based on the philosophy that radar systems should not be difficult to understand or complicated to analyze and design, it focuses on radar fundamentals, principles, and rigorous but easy-to-follow derivations. Each chapter provides all the necessary mathematical and analytical coverage needed for understanding radar theory. Among this book's most outstanding features is the integration of Matlab 5.0 functions and programs within each chapter to further enhance understanding of the theory and provide a source for establishing radar system design requirements. All of these functions and programs can be downloaded from the CRC Web site - saving users more than $1,000 in acquiring similar software. All of this plus nearly 1,300 equations, almost 300 illustrations, more than 200 examples and end-of-chapter problems, and six appendices means that Radar Systems Analysis and Design Using MATLAB meets all the criteria. Your search for the ideal resource for radar engineering is over.

Martin H. Trauth ... 427 pages ... Publisher: Springer; 4th edition (February, 2015) ... Language: English - AmazonSIN: B018C2STZU.

MATLAB® is used for a wide range of applications in geosciences, such as image processing in remote sensing, the generation and processing of digital elevation models and the analysis of time series. This book introduces methods of data analysis in geosciences using MATLAB, such as basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data and image analysis. The revised and updated Fourth Edition includes sixteen new sections and most chapters have greatly been expanded so that they now include a step by step discussion of all methods before demonstrating the methods with MATLAB functions. 

H. Mendel ... 218 pages - Publisher: CreateSpace Independent Publ.; (October, 2016) ... Language: English - ISBN-10: 1539439321 - ISBN-13: 978-1539439325 ...

This book initiates the reader into the techniques of data analysis with MATLAB. The major contents are as follows: Data Processing Importing and Exporting Data Plotting Data Missing Data Representing Missing Data Values Working with NaNs Interpolating Missing Data Inconsistent Data Filtering Data Detrending Data Differencing Data Interactive Data Exploration Marking Up Graphs with Data Brushing Making Graphs Responsive with Data Linking Interacting with Graphed Data Data Brushing with the Variables Editor Using Data Tips to Explore Graphs Descriptive Statistics Functions for Calculating Descriptive Statistics Regression Analysis Linear Correlation Linear Regression Fitting Data with Curve Fitting Toolbox Functions Interactive Fitting Programmatic Fitting MATLAB Functions for Polynomial Models Linear Model with Nonpolynomial Terms Multiple Regression Time Series Analysis Time Series Objects Time Series Data Sample Time Series Constructor Time Series Tools Importing and Exporting Data Plotting Time Series Selecting Data for Analysis Editing Data, Time, Attributes, and Events Processing and Manipulating Time Series

Ronald L. Lipsman, Jonathan M. Rosenberg ... 276 pages - Publisher: Springer; 1st edition (December, 2017) ... Language: English - ISBN-10: 3319650696 - ISBN-13: 978-3319650692 ...

Shashi Kant Mishra, Bhagwat Ram ... 327 pages - Publisher: Chapman and Hall/CRC; 1st edition (August, 2017) - Language: English - ISBN-10: 1138092266 - ISBN-13: 978-1138092266 ...

This book is based on the lecture notes of the author delivered to the students at the Institute of Science, Banaras Hindu University, India. It covers simplex, revised simplex, two-phase method, duality, dual simplex, complementary slackness, transportation and assignment problems with good number of examples, clear proofs, MATLAB codes and homework problems. The book will be useful for both students and practitioners.

A. J. M. Ferreira ... 235 pages - Publisher: Springer; (December, 2008) ... Language: English - ISBN-10: 1402091990 - ISBN-13: 978-1402091995 ...

This book illustrates how MATLAB compact and powerful programming framework can be very useful in the finite element analysis of solids and structures. The book shortly introduces finite element concepts and an extensive list of MATLAB codes for readers to use and modify. The book areas range from very simple springs and bars to more complex beams and plates in static bending, free vibrations and buckling problems. This book intend to supply readers with some MATLAB codes for finite element analysis of solids and structures. After a short introduction to MATLAB, the book illustrates the finite element implementation of some problems by simple scripts and functions. The following problems are discussed: • Discrete systems, such as springs and bars • Beams and frames in bending in 2D and 3D • Plane stress problems • Plates in bending • Free vibration of Timoshenko beams and Mindlin plates, including laminated composites • Buckling of Timoshenko beams and Mindlin plates The book does not intends to give a deep insight into the finite element details, just the basic equations so that the user can modify the codes. The book was prepared for undergraduate science and engineering students, although it may be useful for graduate students.

David Halpern, Howard B. Wilson ... 696 pages - Publisher: Chapman and Hall/CRC; 3rd edition (September, 2002) ... Language: English - ISBN-10: 158488262X - ISBN-13: 978-1584882626 ...

Since its introduction in 1984, MATLAB's ever-growing popularity and functionality have secured its position as an industry-standard software package. The user-friendly, interactive environment of MATLAB 6.x, which includes a high-level programming language, versatile graphics capabilities, and abundance of intrinsic functions, helps users focus on their applications rather than on programming errors. MATLAB has now leapt far ahead of FORTRAN as the software of choice for engineering applications.

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.