Articles by "MATLAB"

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Showing posts with label MATLAB. Show all posts

October 13, 2019 , , ,
Mathworks Matlab R2019b v9.7.0 [Size: 21.5 GB] ... MATLAB is a highlevel language and interactive environment that is used by millions of engineers and scientists around the world. It allows you to explore and visualize ideas and collaborate in various disciplines, including signal and image processing, communications, management systems and financial engineering. Whether you’re analyzing data, developing algorithms, or creating models, MATLAB is designed for the way you think and the work you do. MATLAB toolboxes are professionally developed, rigorously tested, and fully documented. MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work. Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques.

Features of Mathworks Matlab R2019: Organize live scripts using additional subheading styles + Navigate within a live script using internal hyperlinks + Create new and open existing live scripts faster + Use string arrays in MATLAB, Simulink, and Stateflow + Improved performance of set operations with enumerations + Create a polyshape object from a 2-D triangulation + Generate random numbers using Threefry and Philox algorithms + Customize node and edge labels with font properties + Explore data with panning, zooming, data tips, and 3-D rotation enabled by default + Visualize grouped data as a scatter plot with marginal histograms + Generate improved code when importing from spreadsheets + Write tall arrays in a variety of formats to local or remote locations + Transform table or timetable data by groups + Add and configure date selection components on the App Designer canvas + Pass multidimensional numeric or logical arrays between MATLAB and Python.

October 08, 2019 , , ,
Rudra Pratap ... 288 pages - Publisher: Oxford Univ. Press; (November, 2009) ... Language: English - ISBN-10: 0199731241 - ISBN-13: 978-0199731244.

MATLAB, a software package for high-performance numerical computation and visualization, is one of the most widely used tools in the engineering field today. Its broad appeal lies in its interactive environment, which features hundreds of built-in functions for technical computation, graphics, and animation. In addition, MATLAB provides easy extensibility with its own high-level programming language. Enhanced by fun and appealing illustrations, Getting Started with MATLAB employs a casual, accessible writing style that shows users how to enjoy using MATLAB.

Features: * Discusses new features and applications, including the new engine of symbolic computation in MATLAB 7.8 (released March 2009) * Provides two sets of self guided tutorials for learning essential features of MATLAB * Includes updated commands, examples, figure, and graphs * Familiarizes users with MATLAB in just a few hours though self-guided lessons * Covers elementary, advanced, and special functions * Supplements any course that uses MATLAB * Works as a stand-alone tutorial and reference.

William Menke, Joshua Menke ... 342 pages - Publisher: Academic Press; 2nd edition (March, 2016) ... Language: English - ISBN-10: 0128044888 - ISBN-13: 978-0128044889.

Environmental Data Analysis with MatLab is a new edition that expands fundamentally on the original with an expanded tutorial approach, new crib sheets, and problem sets providing a clear learning path for students and researchers working to analyze real data sets in the environmental sciences. Since publication of the bestselling Environmental Data Analysis with MATLAB®, many advances have been made in environmental data analysis. One only has to consider the global warming debate to realize how critically important it is to be able to derive clear conclusions from often noisy data drawn from a broad range of sources. The work teaches the basics of the underlying theory of data analysis and then reinforces that knowledge with carefully chosen, realistic scenarios.

September 19, 2019 , , , ,
MoonJung Cho, Wendy L. Martinez ... 286 pages - Publisher: Chapman and Hall/CRC; (December, 2014) ... Language: English - ISBN-10: 1466596562 - ISBN-13: 978-1466596566

Fulfilling the need for a practical user’s guide, Statistics in MATLAB: A Primer provides an accessible introduction to the latest version of MATLAB and its extensive functionality for statistics. Assuming a basic knowledge of statistics and probability as well as a fundamental understanding of linear algebra concepts, this book: Covers capabilities in the main MATLAB package, the Statistics Toolbox, and the student version of MATLAB * Presents examples of how MATLAB can be used to analyze data * Offers access to a companion website with data sets and additional examples * Contains figures and visual aids to assist in application of the software *Explains how to determine what method should be used for analysis. Statistics in MATLAB: A Primer is an ideal reference for undergraduate and graduate students in engineering, mathematics, statistics, economics, biostatistics, and computer science. It is also appropriate for a diverse professional market, making it a valuable addition to the libraries of researchers in statistics, computer science, data mining, machine learning, image analysis, signal processing, and engineering.

September 16, 2019 , ,
Wendy L. Martinez, Angel R. Martinez, Jeffrey L. Solka ... 616 pages - Publisher: Chapman and Hall/CRC; 3rd edition (August, 2017) ... Language: English - ASIN: B074MVTKM9 by Amazon

Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website.

New to the Third Edition: Random projections and estimating local intrinsic dimensionality. + Deep learning autoencoders and stochastic neighbor embedding. + Minimum spanning tree and additional cluster validity indices. + Kernel density estimation. + Plots for visualizing data distributions, such as beanplots and violin plots. + A chapter on visualizing categorical data.

September 16, 2019 , ,
Wendy L. Martinez, Angel Martinez, Jeffrey Solka ... 536 pages - Publisher: CRC Press; 2nd edition (December, 2010) ... Language: English - ISBN-10: 1439812209 - ISBN-13: 978-1439812204

Since the publication of the bestselling first edition, many advances have been made in exploratory data analysis (EDA). Covering innovative approaches for dimensionality reduction, clustering, and visualization, Exploratory Data Analysis with MATLAB, Second Edition uses numerous examples and applications to show how the methods are used in practice. New to the Second Edition: Discussions of nonnegative matrix factorization, linear discriminant analysis, curvilinear component analysis, independent component analysis, and smoothing splines - An expanded set of methods for estimating the intrinsic dimensionality of a data set - Several clustering methods, including probabilistic latent semantic analysis and spectral-based clustering - Additional visualization methods, such as a rangefinder boxplot, scatterplots with marginal histograms, biplots, and a new method called Andrews’ images -Instructions on a free MATLAB GUI toolbox for EDA... Like its predecessor, this edition continues to focus on using EDA methods, rather than theoretical aspects. The MATLAB codes for the examples, EDA toolboxes, data sets, and color versions of all figures are available for download at http://pi-sigma.info.

Mark H. Holmes ... 497 pages - Publisher: Springer; (May, 2016) ... Language: English - ISBN-10: 331930254X - ISBN-13: 978-3319302546

This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The MATLAB codes used to produce most of the figures and data tables in the text are available on the author’s website and SpringerLink.

MATLAB Master Class: Go from Beginner to Expert in MATLAB [Size: 9.25 GB] ... MATLAB from beginner to advance level with Advanced Data Types and Applications from Data Science and Data Preprocessing: MATLAB (matrix laboratory) is one of the fundamental and leading programming language and is a must learn skill for anyone who want to develop a career in engineering, science or related fields. Excellent MATLAB programming skills is therefore a crucial factor in making or breaking your career. This course is designed from a perspective of a student who has no prior knowledge of MATLAB. The course starts from the very basic concepts and then built on top of those basic concepts and move towards more advanced topics such as visualization, exporting and importing of data, advance data types and data structures and advance programming constructs. To get the real feel of MATLAB in solving and analyzing real life problems, the course includes machine learning topics in data science and data preprocessing. The course is fun and exciting, but at the same time we dive deep into MATLAB to uncover its power of formulating and analyzing real life problems. The course is structured into four different Parts. Below is the detailed outline of this course.

Brian Hahn, Daniel T. Valentine ... 428 pages - Publisher: Academic Press; 7th edition (April, 2019) ... Language: English - ISBN-10: 0081029977 - ISBN-13: 978-0081029978

Essential MATLAB for Engineers and Scientists, Seventh Edition, provides a concise, balanced overview of MATLAB's functionality, covering both fundamentals and applications. The essentials are illustrated throughout, featuring complete coverage of the software's windows and menus. Program design and algorithm development are presented, along with many examples from a wide range of familiar scientific and engineering areas. This edition has been updated to include the latest MATLAB versions through 2018b. This is an ideal book for a first course on MATLAB, but is also ideal for an engineering problem-solving course using MATLAB. Updated to include all the newer features through MATLAB R2018b + Includes new chapter on useful toolboxes + Provides additional examples on engineering applications.

August 04, 2019 , ,
Shengrong Gong, Chunping Liu, Yi Ji, Baojiang Zhong, Yonggang Li, Husheng Dong ... 590 pages - Publisher: Springer; (August, 2018) ... Language: English - ASIN: B07FVQMKV3 by Amazon

This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip reading in videos, moving object tracking, dynamic scene classification, among others. The book combines the latest machine learning methods with computer vision applications, covering topics such as event recognition based on deep learning,dynamic scene classification based on topic model, person re-identification based on metric learning and behavior analysis. It also offers a systematic introduction to image evaluation criteria showing how to use them in different experimental contexts. The book offers an example-based practical guide to researchers, professionals and graduate students dealing with advanced problems in image analysis and computer vision.

August 03, 2019 , , ,
James R. Chelikowsky ... 224 pages - Publisher: Wiley-VCH; (August, 2018) ... Language: English - ASIN: B07GWWQP2H by Amazon

Presents a unique approach to grasping the concepts of quantum theory with a focus on atoms, clusters, and crystals. Quantum theory of atoms and molecules is vitally important in molecular physics, materials science, nanoscience, solid state physics and many related fields. Introductory Quantum Mechanics with MATLAB is designed to be an accessible guide to quantum theory and its applications. The textbook uses the popular MATLAB programming language for the analytical and numerical solution of quantum mechanical problems, with a particular focus on clusters and assemblies of atoms. The textbook is written by a noted researcher and expert on the topic who introduces density functional theory, variational calculus and other practice-proven methods for the solution of quantum-mechanical problems. This important guide: - Presents the material in a didactical manner to help students grasp the concepts and applications of quantum theory. - Covers a wealth of cutting-edge topics such as clusters, nanocrystals, transitions and organic molecules. - Offers MATLAB codes to solve real-life quantum mechanical problems. Written for master's and PhD students in physics, chemistry, material science, and engineering sciences, Introductory Quantum Mechanics with MATLAB contains an accessible approach to understanding the concepts of quantum theory applied to atoms, clusters, and crystals.

M. S. Rahman, M. B. Can Ülker ... 506 pages - Publisher: CRC Press; (September, 2018) ... Language: English - ISBN-10: 149877167X - ISBN-13: 978-1498771672

Modeling and computing is becoming an essential part of the analysis and design of an engineered system. This is also true of "geotechnical systems", such as soil foundations, earth dams and other soil-structure systems. The general goal of modeling and computing is to predict and understand the behaviour of the system subjected to a variety of possible conditions/scenarios (with respect to both external stimuli and system parameters), which provides the basis for a rational design of the system. The essence of this is to predict the response of the system to a set of external forces. The modelling and computing essentially involve the following three phases: (a) Idealization of the actual physical problem, (b) Formulation of a mathematical model represented by a set of equations governing the response of the system, and (c) Solution of the governing equations (often requiring numerical methods) and graphical representation of the numerical results. This book will introduce these phases.

MatLab R2019a [Size: 18.0 GB] ... MATLAB combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. Professionally Built: MATLAB toolboxes are professionally developed, rigorously tested, and fully documented. With Interactive Apps: MATLAB apps let you see how different algorithms work with your data. Iterate until you've got the results you want, then automatically generate a MATLAB program to reproduce or automate your work. And the Ability to Scale: Scale your analyzes run on clusters, GPUs, and clouds with only minor code changes. There's no need to rewrite your code or learn the big data programming and out-of-memory techniques. MATLAB provides a number of features for documenting and sharing your work. You can integrate your MATLAB code with other languages ​​and applications, and distribute your MATLAB algorithms and applications. Deploy to Enterprise Applications: MATLAB code is production ready, so you can go directly to your cloud and enterprise systems, and integrate with data sources and business systems. Run on Embedded Devices: Automatically convert MATLAB algorithms to C / C ++, HDL, and CUDA code to run on embedded devices. Integrate with Model-Based Design: MATLAB works with Simulink to support Model-Based Design, which is used for multidomain simulation, automatic code generation, and embedded systems testing and verification.

July 06, 2019 , ,
William Bober ... 274 pages - Publisher: CRC Press; 1st edition (August, 2017) ... Language: English - ISBN-10: 1138032379 - ISBN-13: 978-1138032378

All disciplines of science and engineering use numerical methods for complex problem analysis, due to the highly mathematical nature of the field. Analytical methods alone are unable to solve many complex problems engineering students and professionals confront. Introduction to MATLAB® Programming for Engineers and Scientists examines the basic elements of code writing, and describes MATLAB® methods for solving common engineering problems and applications across the range of engineering disciplines. The text uses a class-tested learning approach and accessible two-color page design to guide students from basic programming to the skills needed for future coursework and engineering practice. Features: Presents clear and detailed explanations of the basic steps in learning MATLAB * Includes real-world examples from all major engineering disciplines * Prepares students for Numerical numerical Methods methods and other courses that involve MATLAB * Incudes two-color graphics to highlight MATLAB screen shots and step-by-step procedures * Supported by a range of instructor supplements and optional MATLAB code

June 25, 2019 , ,
Ramin S. Esfandiari ... 550 pages - Publisher: CRC Press; 1st edition (June, 2013) ... Language: English - ISBN-10: 1466585692 - ISBN-13: 978-1466585690

Designed to benefit scientific and engineering applications, Numerical Methods for Engineers and Scientists Using MATLAB® focuses on the fundamentals of numerical methods while making use of MATLAB software. The book introduces MATLAB early on and incorporates it throughout the chapters to perform symbolic, graphical, and numerical tasks. The text covers a variety of methods from curve fitting to solving ordinary and partial differential equations. Provides fully worked-out examples showing all details + Confirms results through the execution of the user-defined function or the script file  + Executes built-in functions for re-confirmation, when available + Generates plots regularly to shed light on the soundness and significance of the numerical results. Created to be user-friendly and easily understandable, Numerical Methods for Engineers and Scientists Using MATLAB® provides background material and a broad introduction to the essentials of MATLAB, specifically its use with numerical methods. Building on this foundation, it introduces techniques for solving equations and focuses on curve fitting and interpolation techniques. It addresses numerical differentiation and integration methods, presents numerical methods for solving initial-value and boundary-value problems, and discusses the matrix eigenvalue problem, which entails numerical methods to approximate a few or all eigenvalues of a matrix. The book then deals with the numerical solution of partial differential equations, specifically those that frequently arise in engineering and science. The book presents a user-defined function or a MATLAB script file for each method, followed by at least one fully worked-out example. When available, MATLAB built-in functions are executed for confirmation of the results. A large set of exercises of varying levels of difficulty appears at the end of each chapter. The concise approach with strong, up-to-date MATLAB integration provided by this book affords readers a thorough knowledge of the fundamentals of numerical methods utilized in various disciplines.

May 05, 2019 , , ,
Abdelwahab Kharab, Ronald B. Guenther ... 631 pages - Publisher: CRC Press; 4th edition (September, 2018) ... Language: English - ASIN: B07G423TJM by Amazon

Previous editions of this popular textbook offered an accessible and practical introduction to numerical analysis. An Introduction to Numerical Methods: A MATLAB® Approach, Fourth Edition continues to present a wide range of useful and important algorithms for scientific and engineering applications. The authors use MATLAB to illustrate each numerical method, providing full details of the computed results so that the main steps are easily visualized and interpreted. This edition also includes a new chapter on Dynamical Systems and Chaos

April 28, 2019 , ,
Darald J. Hartfiel ... 384 pages - Publisher: CRC Press; (November, 2000) ... Language: English - ISBN-10: 1584881089 - ISBN-13: 978-1584881087

Designed for use in a second course on linear algebra, Matrix Theory and Applications with MATLAB covers the basics of the subject-from a review of matrix algebra through vector spaces to matrix calculus and unitary similarity-in a presentation that stresses insight, understanding, and applications. Among its most outstanding features is the integration of MATLAB throughout the text. Each chapter includes a MATLAB subsection that discusses the various commands used to do the computations in that section and offers code for the graphics and some algorithms used in the text. All of the material is presented from a matrix point of view with enough rigor for students to learn to compose arguments and proofs and adjust the material to cover other problems. The treatment includes optional subsections covering applications, and the final chapters move beyond basic matrix theory to discuss more advanced topics, such as decompositions, positive definite matrices, graphics, and topology. Filled with illustrations, examples, and exercises that reinforce understanding, Matrix Theory and Applications with MATLAB allows readers to experiment and visualize results in a way that no other text does. Its rigor, use of MATLAB, and focus on applications better prepares them to use the material in their future work and research, to extend the material, and perhaps obtain new results of their own.

April 01, 2019 , , ,
Jasbir S. Arora ... 896 pages - Publisher: Academic Press; 3rd edition (August, 2011) ... Language: English - ISBN-10: 0123813751 - ISBN-13: 978-0123813756

Introduction to Optimum Design 3e describes an organized approach to engineering design optimization in a rigorous yet simplified manner. It illustrates various concepts and procedures with simple examples and demonstrates their applicability to engineering design problems. Formulation of a design problem as an optimization problem is emphasized and illustrated throughout the text. Excel and MATLAB® are featured as learning and teaching aids. Basic concepts of optimality conditions and numerical methods are described with simple and practical examples, making the material highly teachable and learnable. + Includes applications of optimization methods for structural, mechanical, aerospace, and industrial engineering problems. + Introduction to MATLAB Optimization Toolbox. + Practical design examples introduce students to the use of optimization methods early in the book. + New example problems throughout the text are enhanced with detailed illustrations. + Optimum design with Excel Solver has been expanded into a full chapter. + New chapter on several advanced optimum design topics serves the needs of instructors who teach more advanced courses.

March 23, 2019 ,
Kelly Bennett ... 664 pages - Publisher: InTech; (September, 2014) ... Language: English - ISBN: 9789535117193 ...

MATLAB is an indispensable asset for scientists, researchers, and engineers. The richness of the MATLAB computational environment combined with an integrated development environment (IDE) and straightforward interface, toolkits, and simulation and modeling capabilities, creates a research and development tool that has no equal. From quick code prototyping to full blown deployable applications, MATLAB stands as a defacto development language and environment serving the technical needs of a wide range of users. As a collection of diverse applications, each book chapter presents a novel application and use of MATLAB for a specific result.

March 19, 2019 , , ,
Amir Beck ... 294 pages - Publisher: SIAM-Society for Industrial and Applied Mathematics; (October, 2014) ... Language: English - ISBN-10: 1611973643 - ISBN-13: 978-1611973648 ...

This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimization-theoretical and algorithmic foundation, familiarity with various applications, and the ability to apply the theory and algorithms on actual problems-and rigorously and gradually builds the connection between theory, algorithms, applications, and implementation. Readers will find more than 170 theoretical, algorithmic, and numerical exercises that deepen and enhance the reader's understanding of the topics. The author includes several subjects not typically found in optimization books-for example, optimality conditions in sparsity-constrained optimization, hidden convexity, and total least squares. The book also offers a large number of applications discussed theoretically and algorithmically, such as circle fitting, Chebyshev center, the Fermat-Weber problem, denoising, clustering, total least squares, and orthogonal regression and theoretical and algorithmic topics demonstrated by the MATLAB toolbox CVX and a package of m-files that is posted on the book's web site.

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