Basics of using matlab

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  • (BQ) The goal of this book is to get you started using MATLAB successfully and quickly. We point out the parts of MATLAB you need to know without overwhelming you with details. We help you avoid the rough spots. We give you examples of real uses of MATLAB that you can refer to when you’re doing your own work. We provide a handy reference to the most useful features of MATLAB.

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  • This paper aims to develop testing model based on logistic regression with three factors to investigate the equity premium portion of CAPM model. It includes (1) literature review on equity premium of CAPM (Capital Asset Pricing Model) model; (2) Set up logistic regression model; (3) Data collection from Datastream; (4) Use of Matlab in regression; (5) Data input in logistic regression; (6) Create a homemade model to prove the nonexistence of equity premium puzzle. Together with investigating the proper definition of risk-free rate, this paper investigates and tests the basic model of CAPM.

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  • In this paper these features and approach has been elaborated using the example of DLX® ALU at a basic level. The ALU is designed using Verilog® HDL and a model has been extracted with the help Xilinx® System Generator® for MATLAB®. Later hardware implementation of the design is done on FPGA.

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  • Tài liệu Analysis and design of Control Systems Using Matlab give you the knowledge: Matlab Tutorial, Matlab Basics, Introduction to Control Systems,... Invite you to refer to the Tài liệu content more learning materials and research.

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  • (BQ) Tài liệu An Introduction to Programming and Numerical Methods in MATLAB provides an introduction to the numerical methods that are typically encountered (and used) in science and engineering undergraduate courses. The material is developed in tandem with matlab which allows rapid prototyping and testing of the methods. The package matlab (matrix laboratory) pro vides an environment in which students can learn to programme and explore the structure of the numerical methods.

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  • Matlab is one of the most widely used computational tools in science and engineering. No matter what your background—be it physics, chemistry, math, or engineering—it would behoove you to at least learn the basics of this powerful tool.There are three good reasons to learn a computational mathematics tool.

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  • One of the main tasks of economics is to explode the basic in- flationary fallacy that confused the thinking ofauthors and statesmen from the days ofJohn Law down to those of Lord Keynes. There cannot be any question of monetary reconstruction and economic recovery as long as such fables as that of the blessings of 'expansion- ism' form an integral part ofofficial doctrine and guide the economic policies of the nations. None of the arguments that economics advances against the inflationist and expansionist doctrine is likely to impress demagogues.

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  • A Student’s Guide to the Study, Practice, and Tools of Modern Mathematics provides an accessible introduction to the world of mathematics. It offers tips on how to study and write mathematics as well as how to use various mathematical tools, from LaTeX and Beamer to Mathematica® and Maple™ to MATLAB® and R. Along with a color insert, the text includes exercises and challenges to stimulate creativity and improve problem solving abilities.

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  • In many professions, you need programming skills. This book introduces you to a program called Matlab, which is one of the most popular choices for quantitative analysis in fields such as engineering, statistics, economics/finance, and artificial intelligence, to name a few. It will give you the tools to get started whether you are a student, a researcher, or a practitioner.

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  • While there is a study guide (available from Ventus) that focuses largely on objects and their characteristics, it will be instructive to the learner (of the Java programming language) to understand how the concept of an object is applied to their construction and use in Java applications.

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  • Basic elements of program Input – Initialize, define or assign numerical values to variables. Set of command expressions – Operations applied to input variables that lead to the desired result. Output – Display (graphically or numerically) result.An example of technical computinAn example of technical computing Let us consider using the hyperbolic tangent to model a downhill section of a snowboard or snow ski facility. Let us first examine the hyperbolic tangent function by executing the command: ezplot( ‘tanh(x)’ )...

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  • Mutagenesis is a powerful method directed towards mutating genes or engineering genome for functional analysis, producing mouse models of human disease, and understanding molecular mechanism of biodiversity at different levels of biological organizations. Several insights have been revealed through studies using experimental models, or in silico, on natural mutations in general and site-specific mutagenesis in particular. However, unified text on recent trends in mutagenesis is poorly available within a single cover.

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  • The basic concepts of signals and systems arise in a variety of contexts, from engineering design to financial analysis. In this chapter, you will learn how to represent, manipulate, and analyze basic signals and systems in MATLAB. The first section of this chapter, Tutorial 1.1, covers some of the fundamental tools used to construct signals in MATLAB. This tutorial is meant to be a supplement to, but not a substitute for, the tutorials given in The Student Edition of MATLAB User's Guide and The MATLAB User's Guide.

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  • In this chapter, we will introduce you to the tools you need in order to begin using MATLAB effectively. These include the following: some relevant information on computer platforms and software; installation protocols; how to launch MATLAB, enter commands and use online help; a roster of MATLAB’s various windows; and finally, how to exit the program. We know you are anxious to get started using MATLAB, so we will keep this chapter brief. After you complete it, you can go immediately to Chapter 2 to find concrete and simple instructions for using MATLAB to do mathematics.

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  • The book emphasizes interactive operation in developing computer programs throughout, enabling the values of the parameters involved in the problem to be entered by the user of the program via a keyboard. In introducing each numerical method, Engineering Analysis gives minimum mathematical derivations but provides a thorough explanation of computational procedures to solve a specific problem. It serves as an exceptional text for self-study as well as resource for general reference.

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  • Most books that use MATLAB are aimed at readers who know how to program. This book is for people who have never programmed before. As a result, the order of presentation is unusual. The book starts with scalar values and works up to vectors and matrices very gradually. This approach is good for beginning programmers, because it is hard to understand composite objects until you understand basic programming semantics.

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  • After providing the basic background in electromagnetic theory necessary to utilize the software, the author of Ebook Antenna and EM Modeling with Matlab describes the benefits and many practical uses of the Matlab. Sergey Makarov's text utilizes the widely used Matlab(r) software, which offers a more flexible and affordable alternative to other antenna and electromagnetic modeling tools currently available.

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  • CHAPTER ELEVEN OPERATIONAL AMPLIFIERS The operational amplifier (Op Amp) is one of the versatile electronic circuits. It can be used to perform the basic mathematical operations: addition, subtraction, multiplication, and division. They can also be used to do integration and differentiation. There are several electronic circuits that use an op amp as an integral element. Some of these circuits are amplifiers, filters, oscillators, and flip-flops. In this chapter, the basic properties of op amps will be discussed.

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  • CHAPTER TEN SEMICONDUCTOR PHYSICS In this chapter, a brief description of the basic concepts governing the flow of current in a pn junction are discussed. Both intrinsic and extrinsic semiconductors are discussed. The characteristics of depletion and diffusion capacitance are explored through the use of example problems solved with MATLAB. The effect of doping concentration on the breakdown voltage of pn junctions is examined. 10.1 10.1.

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  • Two of the most important functions for signal processing are not in the Signal Processing Toolbox at all, but are built-in MATLAB functions: • filter applies a digital filter to a data sequence. • fft calculates the discrete Fourier transform of a sequence. The operations these functions perform are the main computational workhorses of classical signal processing. Both are described in this chapter.

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