310,12 zł

Numerical Methods with Worked Examples: Matlab Edition Springer

Książki / Literatura obcojęzyczna

Here, numerical methods are set out in problem solution discussion order to allow natural inference. This fresh edition, aimed at students on introductory courses in numerical methods, shows how Matlab can be a computer environment for experimentation.§

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142,09 zł

Cálculo integral con MATLAB MACRO EDITORIAL (IBD)

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El texto desarrolla los lineamientos principales del cálculo integralcon MATLAB, un software matemático que ofrece un entorno de desarrollo integrado, con un lenguaje de programación propio. Este libro brindaun soporte de apoyo para el aprendizaje de las matemáticas superiores, en especial los cálculos, los gráficos y las aplicaciones, ya quepara las carreras de ciencia e ingeniería el cálculo integral es unaherramienta fundamental para resolver problemas propios de su entorno. La obra está dirigida a profesionales y estudiantes de ingeniería ensus distintas especialidades.

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245,10 zł

MATLAB Recipes: A Problem-Solution Approach APress

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Learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. With this book you will review contemporary MATLAB coding including the latest MATLAB language features and use MATLAB as a software development environment including code organization, GUI development, and algorithm design and testing. Features now covered include the new graph and digraph classes for charts and networks; interactive documents that combine text, code, and output; a new development environment for building apps; locally defined functions in scripts; automatic expansion of dimensions; tall arrays for big data; the new string type; new functions to encode/decode JSON; handling non-English languages; the new class architecture; the Mocking framework; an engine API for Java; the cloud-based MATLAB desktop; the memoize function; and heatmap charts. MATLAB Recipes: A Problem-Solution Approach, Second Edition provides practical, hands-on code snippets and guidance for using MATLAB to build a body of code you can turn to time and again for solving technical problems in your work. Develop algorithms, test them, visualize the results, and pass the code along to others to create a functional code base for your firm. What You Will Learn Get up to date with the latest MATLAB up to and including MATLAB 2020b Code in MATLAB Write applications in MATLAB Build your own toolbox of MATLAB code to increase your efficiency and effectiveness Who This Book Is For Engineers, data scientists, and students wanting a book rich in examples using MATLAB.

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978,43 zł

Digital Signal and Image Processing using Matlab, 2e V1 - Fundamentals ISTE Ltd and John Wiley & Sons Inc

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This fully revised and updated second edition presents the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is supported by exercises and computer simulations relating to real applications.More than 200 programs and functions are provided in the MATLABo language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject. This fully revised new edition updates: - the introduction to MATLAB programs and functions as well as the Graphically displaying results for 2D displays- the Calibration fundamentals for Discrete Time Signals and Sampling in Deterministic signals- image processing by modifying the contrast - also added are examples and excercises

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310,52 zł

Numerical Methods with Worked Examples: Matlab Edition Springer

Książki / Literatura obcojęzyczna

This book is for students following an introductory course in numerical methods, numerical techniques or numerical analysis. It introduces MATLAB as a computing environment for experimenting with numerical methods. It approaches the subject from a pragmatic viewpoint; theory is kept at a minimum commensurate with comprehensive coverage of the subject and it contains abundant worked examples which provide easy understanding through a clear and concise theoretical treatment. This edition places even greater emphasis on learning by doing than the previous edition.§Fully documented MATLAB code for the numerical methods described in the book will be available as supplementary material to to the book on http://extras.springer.com

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730,60 zł

Digital Signal Processing with Matlab Examples, Volume 1 Springer Verlag, Singapore

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This is the first volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed.The book is divided into three parts, the first of which introduces readers to periodic and non-periodic signals. The second part is devoted to filtering, which is an important and commonly used application. The third part addresses more advanced topics, including the analysis of real-world non-stationary signals and data, e.g. structural fatigue, earthquakes, electro-encephalograms, birdsong, etc. The book's last chapter focuses on modulation, an example of the intentional use of non-stationary signals.

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415,95 zł

Financial Risk Forecasting - The Theory and Practice of Forecasting Market Risk with Implementation in R and MATLAB John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to provide a thorough grounding in risk management techniques. Written by renowned risk expert Jon Danielsson, the book begins with an introduction to financial markets and market prices, volatility clusters, fat tails and nonlinear dependence. It then goes on to present volatility forecasting with both univatiate and multivatiate methods, discussing the various methods used by industry, with a special focus on the GARCH family of models. The evaluation of the quality of forecasts is discussed in detail. Next, the main concepts in risk and models to forecast risk are discussed, especially volatility, value-at-risk and expected shortfall.The focus is both on risk in basic assets such as stocks and foreign exchange, but also calculations of risk in bonds and options, with analytical methods such as delta-normal VaR and duration-normal VaR and Monte Carlo simulation. The book then moves on to the evaluation of risk models with methods like backtesting, followed by a discussion on stress testing. The book concludes by focussing on the forecasting of risk in very large and uncommon events with extreme value theory and considering the underlying assumptions behind almost every risk model in practical use - that risk is exogenous - and what happens when those assumptions are violated. Every method presented brings together theoretical discussion and derivation of key equations and a discussion of issues in practical implementation. Each method is implemented in both MATLAB and R, two of the most commonly used mathematical programming languages for risk forecasting with which the reader can implement the models illustrated in the book. The book includes four appendices. The first introduces basic concepts in statistics and financial time series referred to throughout the book.The second and third introduce R and MATLAB, providing a discussion of the basic implementation of the software packages. And the final looks at the concept of maximum likelihood, especially issues in implementation and testing. The book is accompanied by a website - www.financialriskforecasting.com - which features downloadable code as used in the book.

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323,99 zł

MATLAB and Simulink Crash Course for Engineers Springer Nature Switzerland AG

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MATLAB and Simulink Crash Course for Engineers is a reader-friendly introductory guide to the features, functions, and applications of MATLAB and Simulink. The book provides readers with real-world examples, exercises, and applications, and offers highly illustrated, step-by-step demonstrations of techniques for the modelling and simulation of complex systems. MATLAB coverage includes vectors and matrices, programs and functions, complex numbers, visualization, solving equations, numerical methods, optimization problems, and graphical user interfaces. The Simulink coverage includes commonly used Simulink blocks, control system simulation, electrical circuit analysis, electric power systems, power electronics, and renewable energy technology. This powerful tutorial is a great resource for students, engineers, and other busy technical professionals who need to quickly acquire a solid understanding of MATLAB and Simulink.

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323,99 zł

MATLAB Deep Learning APress

Książki / Literatura obcojęzyczna

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You'll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage.What You'll LearnUse MATLAB for deep learningDiscover neural networks and multi-layer neural networksWork with convolution and pooling layersBuild a MNIST example with these layersWho This Book Is ForThose who want to learn deep learning using MATLAB. Some MATLAB experience may be useful.

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583,47 zł

Computational Partial Differential Equations Using MATLAB (R) Taylor & Francis Ltd

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In this popular text for an Numerical Analysis course, the authors introduce several major methods of solving various partial differential equations (PDEs) including elliptic, parabolic, and hyperbolic equations. It covers traditional techniques includi

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1068,87 zł

MATLAB Handbook with Applications to Mathematics, Science, Engineering, and Finance Taylor & Francis Ltd

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The purpose of this handbook is to allow users to learn and master the mathematics software package MATLAB(R), as well as to serve as a quick reference to some of the most used instructions in the package. A unique feature of this handbook is that it ca

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351,43 zł

Solving Dynamics Problems in MATLAB by Brian Harper t/a Engineering Mechanics Dynamics 6e by Meriam and Kraige John Wiley & Sons Inc

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An introduction to MATLAB for engineering students, complete with practice problems Written as a complement to Engineering Mechanics Dynamics, this book provides students with an introduction to MATLAB as well as example problems that correspond to the aforementioned text.

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818,64 zł

Problem-Based Learning in Communication Systems Using MATLAB and Simulink John Wiley and Sons Ltd

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Designed to help teach and understand communication systems using a classroom-tested, active learning approach.

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730,60 zł

Intuitive Probability and Random Processes using MATLAB (R) Springer-Verlag New York Inc.

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Intuitive Probability and Random Processes using MATLAB is an introduction to probability and random processes that merges theory with practice. Based on the author s belief that only "hands-on" experience with the material can promote intuitive understanding, the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of "real-world" examples to acquaint the reader with a wide variety of applications. The latter is intended to answer the usual question "Why do we have to study this?" Other salient features are: heavy reliance on computer simulation for illustration and student exercises the incorporation of MATLAB programs and code segments discussion of discrete random variables followed by continuous random variables to minimize confusion summary sections at the beginning of each chapter in-line equation explanations warnings on common errors and pitfalls over 750 problems designed to help the reader assimilate and extend the conceptsIntuitive Probability and Random Processes using MATLAB is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book.About the AuthorSteven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing. He has received the Education Award "for outstanding contributions in education and in writing scholarly books and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.

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462,27 zł

System Design through Matlab (R), Control Toolbox and Simulink (R) Springer London Ltd

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MATLAB is a powerful, versatile, and interactive software for scientific and technical computations, including simulations. Specialized toolboxes provided with built-in functions are a special feature of MATLAB. This book aims at getting the reader started with computations and simulations in system engineering quickly and easily and then proceeds to build concepts for advanced computations and simulations that include the control and compensation of systems. Simulation through SIMULINK has also been described to allow the reader to get the feel of the real world situation.

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