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Matlab

Author: Stormy Attaway
Publisher: Butterworth-Heinemann
ISBN: 0128045418
Size: 78.86 MB
Format: PDF
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MATLAB: A Practical Introduction to Programming and Problem Solving, Fourth Edition, has been updated to reflect the functionality of the current version of MATLAB, including the new H2 Graphics system. It features new and revised end-of-chapter exercises, more engineering applications to help the reader learn this software tool in context, and a new section on object-oriented programming in MATLAB. MATLAB has become the standard software tool for solving scientific and engineering problems due to its powerful built-in functions and its ability to program. Assuming no knowledge of programming, this book guides the reader both programming and built-in functions to easily exploit MATLAB's extensive capabilities for tackling engineering problems. The book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. In-depth coverage is given to input/output, a topic fundamental to many engineering applications. Presents programming concepts and MATLAB built-in functions side-by-side Offers a systematic, step-by-step approach, building on concepts throughout the book and facilitating easier learning Includes sections on common pitfalls and programming guidelines to direct students toward best practices Combines basic programming concepts, built-in functions, and advanced topics for problem solving with MATLAB to make this book uniquely suitable for a wide range of courses teaching or using MATLAB across the curriculum

Numerical Methods

Author: George Lindfield
Publisher: Academic Press
ISBN: 0128123702
Size: 20.40 MB
Format: PDF, Kindle
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The fourth edition of Numerical Methods Using MATLAB® provides a clear and rigorous introduction to a wide range of numerical methods that have practical applications. The authors’ approach is to integrate MATLAB® with numerical analysis in a way which adds clarity to the numerical analysis and develops familiarity with MATLAB®. MATLAB® graphics and numerical output are used extensively to clarify complex problems and give a deeper understanding of their nature. The text provides an extensive reference providing numerous useful and important numerical algorithms that are implemented in MATLAB® to help researchers analyze a particular outcome. By using MATLAB® it is possible for the readers to tackle some large and difficult problems and deepen and consolidate their understanding of problem solving using numerical methods. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization and many other fields. The text will be a valuable aid to people working in a wide range of fields, such as engineering, science and economics. Features many numerical algorithms, their fundamental principles, and applications Includes new sections introducing Simulink, Kalman Filter, Discrete Transforms and Wavelet Analysis Contains some new problems and examples Is user-friendly and is written in a conversational and approachable style Contains over 60 algorithms implemented as MATLAB® functions, and over 100 MATLAB® scripts applying numerical algorithms to specific examples.

Easy Guide To Understand How Matlab Works

Author: Oluwaseun Adenigba
Publisher: Oluwaseun Adenigba
ISBN: 1386660094
Size: 70.49 MB
Format: PDF, ePub, Docs
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The important features that define the content of this book are its easy to understand concepts and systematic approach of writing hence, users will flow easily with the line of thought of the authors finding it easy to grasp the information. The book intends to ensure that users understand the foundation of MATLAB. It also introduces few advanced applications of the software so beginners with little or no experience in any computer programming are not left out. It is important to go through the book from chapter to chapter studying its contents to enable mastery of MATLAB software. Finally, it contains a total of thirteen chapters with each including; Using MATLAB Command Window, Doing Calculation in Command Window, Mathematical Operations with Arrays, Specifiers and Plot Commands and so on. The book also contains MCQs, assessment tests and solutions at the end of each chapter.

Object Detection And Recognition In Digital Images

Author: Boguslaw Cyganek
Publisher: John Wiley & Sons
ISBN: 111861836X
Size: 62.65 MB
Format: PDF, ePub
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Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields. Key features: Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications. Places an emphasis on tensor and statistical based approaches within object detection and recognition. Provides an overview of image clustering and classification methods which includes subspace and kernel based processing, mean shift and Kalman filter, neural networks, and k-means methods. Contains numerous case study examples of mainly automotive applications. Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform.

Matlab Recipes For Earth Sciences

Author: Martin H. Trauth
Publisher: Springer
ISBN: 3662462443
Size: 20.42 MB
Format: PDF, ePub
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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. New sections include: Array Manipulation; Control Flow; Creating Graphical User Interfaces; Hypothesis Testing; Kolmogorov-Smirnov Test; Mann-Whitney Test; Ansari-Bradley Test; Detecting Abrupt Transitions in Time Series; Exporting 3D Graphics to Create Interactive Documents; Importing, Processing and Exporting LANDSAT Images; Importing and Georeferencing TERRA ASTER Images; Processing and Exporting EO-1 Hyperion Images; Image Enhancement; Correction and Rectification; Shape-Based Object Detection in Images; Discriminant Analysis; and Multiple Linear Regression. The text includes numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. The book’s supplementary electronic material (available online through Springer Link) includes recipes that include all the MATLAB commands featured in the book and the example data.

Applications Of Chaos And Nonlinear Dynamics In Engineering

Author: Santo Banerjee
Publisher: Springer Science & Business Media
ISBN: 3642219225
Size: 34.70 MB
Format: PDF, ePub, Docs
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Chaos and nonlinear dynamics initially developed as a new emergent field with its foundation in physics and applied mathematics. The highly generic, interdisciplinary quality of the insights gained in the last few decades has spawned myriad applications in almost all branches of science and technology—and even well beyond. Wherever quantitative modeling and analysis of complex, nonlinear phenomena is required, chaos theory and its methods can play a key role. This volume concentrates on reviewing the most relevant contemporary applications of chaotic nonlinear systems as they apply to the various cutting-edge branches of engineering. The book covers the theory as applied to robotics, electronic and communication engineering (for example chaos synchronization and cryptography) as well as to civil and mechanical engineering, where its use in damage monitoring and control is explored). Featuring contributions from active and leading research groups, this collection is ideal both as a reference and as a ‘recipe book’ full of tried and tested, successful engineering applications

Introduction To Food Engineering

Author: R Paul Singh
Publisher: Academic Press
ISBN: 9780080919621
Size: 70.84 MB
Format: PDF, Docs
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This fourth edition of this successful textbook succinctly presents the engineering concepts and unit operations used in food processing, in a unique blend of principles with applications. Depth of coverage is very high. The authors use their many years of teaching to present food engineering concepts in a logical progression that covers the standard course curriculum. Both are specialists in engineering and world-renowned. Chapters describe the application of a particular principle followed by the quantitative relationships that define the related processes, solved examples and problems to test understanding. New chapters on: -Supplemental processes including filtration, sedimentation, centrifugation, and mixing -Extrusion processes for foods -Packaging concepts and shelf life of foods Expanded information on Emerging technologies, such as high pressure and pulsed electric field Transport of granular foods and powders Process controls and measurements Design of plate heat exchangers Impact of fouling in heat transfer processes Use of dimensional analysis in understanding physical phenomena

Engineering Optimization

Author: Singiresu S. Rao
Publisher: John Wiley & Sons
ISBN: 0470183527
Size: 74.74 MB
Format: PDF, Kindle
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Technology/Engineering/Mechanical Helps you move from theory to optimizing engineering systems in almost any industry Now in its Fourth Edition, Professor Singiresu Rao's acclaimed text Engineering Optimization enables readers to quickly master and apply all the important optimization methods in use today across a broad range of industries. Covering both the latest and classical optimization methods, the text starts off with the basics and then progressively builds to advanced principles and applications. This comprehensive text covers nonlinear, linear, geometric, dynamic, and stochastic programming techniques as well as more specialized methods such as multiobjective, genetic algorithms, simulated annealing, neural networks, particle swarm optimization, ant colony optimization, and fuzzy optimization. Each method is presented in clear, straightforward language, making even the more sophisticated techniques easy to grasp. Moreover, the author provides: Case examples that show how each method is applied to solve real-world problems across a variety of industries Review questions and problems at the end of each chapter to engage readers in applying their newfound skills and knowledge Examples that demonstrate the use of MATLAB® for the solution of different types of practical optimization problems References and bibliography at the end of each chapter for exploring topics in greater depth Answers to Review Questions available on the author's Web site to help readers to test their understanding of the basic concepts With its emphasis on problem-solving and applications, Engineering Optimization is ideal for upper-level undergraduates and graduate students in mechanical, civil, electrical, chemical, and aerospace engineering. In addition, the text helps practicing engineers in almost any industry design improved, more efficient systems at less cost.