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The Elements of MATLAB Style is a guide for both new and experienced MATLAB programmers. It provides a comprehensive collection of standards and guidelines for creating solid MATLAB code that will be easy to understand, enhance, and maintain. It is written for both individuals and those working in teams in which consistency is critical. This is the only book devoted to MATLAB style and best programming practices, focusing on how MATLAB code can be written in order to maximize its effectiveness. Just as Strunk and White's The Elements of Style provides rules for writing in the English language, this book provides conventions for formatting, naming, documentation, programming and testing. It includes many concise examples of correct and incorrect usage, as well as coverage of the latest language features. The author also provides recommendations on use of the integrated development environment features that help produce better, more consistent software.
Outstanding undergraduate text provides a thorough understanding of fundamentals and creates the basis for higher-level courses. Numerous examples and extensive exercise sections of varying difficulty, plus answers to selected exercises. 1990 edition.
Are you ready to revolutionize your approach to scientific computing and data analysis? "Mastering MATLAB" is your ultimate guide to harnessing the full potential of the MATLAB programming language. Whether you're a seasoned researcher seeking to enhance your capabilities or a data enthusiast ready to dive into the world of numerical analysis, this comprehensive guide will equip you with the knowledge and tools to develop sophisticated solutions for complex problems. Key Features: 1. Comprehensive Exploration of MATLAB Fundamentals: Immerse yourself in the core concepts of MATLAB programming, from its intuitive syntax to its versatile features. Build a strong foundation that empowers you to tackle intricate computational challenges with ease. 2. Data Analysis and Visualization Excellence: Dive into MATLAB's capabilities for data analysis and visualization. Learn how to manipulate and analyze data, create insightful visualizations, and extract meaningful insights from complex datasets. 3. Numerical Computing and Simulation: Uncover MATLAB's power in numerical computing and simulation. Explore techniques for solving mathematical problems, performing simulations, and optimizing algorithms to deliver accurate and efficient results. 4. Advanced Mathematics and Engineering Applications: Push the boundaries of your MATLAB knowledge by exploring advanced mathematical and engineering applications. From linear algebra to differential equations, learn how to apply MATLAB's tools to solve real-world problems. 5. Image and Signal Processing: Discover MATLAB's capabilities in image and signal processing. Master techniques for image enhancement, filtering, and feature extraction, and explore signal processing tools that enable you to work with audio and other time-based data. 6. Machine Learning and Data Science: Navigate the world of machine learning and data science using MATLAB. Learn how to implement algorithms, build predictive models, and perform classification and regression tasks with ease. 7. Optimization and Algorithm Development: Dive into MATLAB's optimization toolbox and learn how to design and implement efficient algorithms. Explore techniques for solving linear and nonlinear optimization problems to achieve optimal solutions. 8. Graphical User Interfaces (GUIs): Discover how to create interactive and user-friendly graphical user interfaces using MATLAB's App Designer. Build custom GUIs that enable users to interact with your applications intuitively. 9. Deployment and Integration: Navigate the process of deploying MATLAB applications to various platforms. Learn about integration with other programming languages, tools, and libraries, and explore techniques for sharing your work with a wider audience. Who This Book Is For: "Mastering MATLAB" is a must-have resource for professionals, researchers, students, and enthusiasts who are eager to harness the capabilities of the MATLAB programming language. Whether you're a novice or an experienced programmer seeking to explore MATLAB's vast capabilities, this book will guide you through the language's intricacies and empower you to develop advanced solutions.
Engineers around the world depend on MATLAB for its power, usability, and outstanding graphics capabilities. Yet too often, engineering students are either left on their own to acquire the background they need to use MATLAB, or they must learn the program concurrently within an advanced course. Both of these options delay students from solving real
Showing how MATLAB® can help solve computational problems in engineering, Elementary Mathematical and Computational Tools for Electrical and Computer Engineers Using MATLAB®, Second Edition explores practical mathematical methods for students, covering numerical techniques of elementary calculus and linear algebra and detailed introductory material on difference equations, complex variables, transformation theory, and probability theory. This integrated approach strengthens students' analytical and computational abilities. Updated to reflect the newest version of MATLAB, this edition features a new layout for enhanced readability. The book covers both linear and nonlinear difference equations, elementary functions, numerical differentiation, integration and ordinary differential equations solving techniques, optimization methods, complex numbers, vectors, matrix algebra and special matrices, geometric and Lorentz transformations, and probability theory. New to the Second Edition: Updated MATLAB syntax that conforms to MATLAB 7.1 Expanded introductory chapter that reduces the need to refer to MATLAB online help or user manuals Special advanced sections for students looking for more challenging material Appendix of symbolic capabilities of MATLAB Smoothing the transition from elementary math, physics, and computer science sequences to more advanced engineering concepts, this book helps students master fundamental quantitative tools that allow them to progress to more complex electrical and computer engineering applications.
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This book is a practical guide on the use of various data analytics and visualization techniques and tools in the banking and financial sectors. It focuses on how combining expertise from interdisciplinary areas, such as machine learning and business analytics, can bring forward a shared vision on the benefits of data science from the research point of view to the evaluation of policies. It highlights how data science is reshaping the business sector. It includes examples of novel big data sources and some successful applications on the use of advanced machine learning, natural language processing, networks analysis, and time series analysis and forecasting, among others, in the banking and finance. It includes several case studies where innovative data science models is used to analyse, test or model some crucial phenomena in banking and finance. At the same time, the book is making an appeal for a further adoption of these novel applications in the field of economics and finance so that they can reach their full potential and support policy-makers and the related stakeholders in the transformational recovery of our societies. The book is for stakeholders involved in research and innovation in the banking and financial sectors, but also those in the fields of computing, IT and managerial information systems, helping through this new theory to better specify the new opportunities and challenges. The many real cases addressed in this book also provide a detailed guide allowing the reader to realize the latest methodological discoveries and the use of the different Machine Learning approaches (supervised, unsupervised, reinforcement, deep, etc.) and to learn how to use and evaluate performance of new data science tools and frameworks
Metaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications presents the most recent optimization algorithms and their applications across a wide range of scientific and engineering research fields. Metaheuristic Optimization Algorithms have become indispensable tools, with applications in data analysis, text mining, classification problems, computer vision, image analysis, pattern recognition, medicine, and many others. Most complex systems problems involve a continuous flow of data that makes it impossible to manage and analyze manually. The outcome depends on the processing of high-dimensional data, most of it irregular and unordered, present in various forms such as text, images, videos, audio, and graphics. The authors of Meta-Heuristic Optimization Algorithms provide readers with a comprehensive overview of eighteen optimization algorithms to address this complex data, including Particle Swarm Optimization Algorithm, Arithmetic Optimization Algorithm, Whale Optimization Algorithm, and Marine Predators Algorithm, along with new and emerging methods such as Aquila Optimizer, Quantum Approximate Optimization Algorithm, Manta-Ray Foraging Optimization Algorithm, and Gradient Based Optimizer, among others. Each chapter includes an introduction to the modeling concepts used to create the algorithm, followed by the mathematical and procedural structure of the algorithm, associated pseudocode, and real-world case studies to demonstrate how each algorithm can be applied to a variety of scientific and engineering solutions. - World-renowned researchers and practitioners in Metaheuristics present the procedures and pseudocode for creating a wide range of optimization algorithms - Helps readers formulate and design the best optimization algorithms for their research goals through case studies in a variety of real-world applications - Helps readers understand the links between Metaheuristic algorithms and their application in Computational Intelligence, Machine Learning, and Deep Learning problems
Developed from the author's graduate-level courses, the first edition of this book filled the need for a comprehensive, self-contained, and hands-on treatment of radar systems analysis and design. It quickly became a bestseller and was widely adopted by many professors. The second edition built on this successful format by rearranging and updating