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MATLAB with Applications to Engineering Physics and Finance

MATLAB with Applications to Engineering  Physics and Finance Author David Baez-Lopez
ISBN-10 1439806993
Release 2009-10-28
Pages 426
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Master the tools of MATLAB through hands-on examples Shows How to Solve Math Problems Using MATLAB The mathematical software MATLAB® integrates computation, visualization, and programming to produce a powerful tool for a number of different tasks in mathematics. Focusing on the MATLAB toolboxes especially dedicated to science, finance, and engineering, MATLAB® with Applications to Engineering, Physics and Finance explains how to perform complex mathematical tasks with relatively simple programs. This versatile book is accessible enough for novices and users with only a fundamental knowledge of MATLAB, yet covers many sophisticated concepts to make it helpful for experienced users as well. The author first introduces the basics of MATLAB, describing simple functions such as differentiation, integration, and plotting. He then addresses advanced topics, including programming, producing executables, publishing results directly from MATLAB programs, and creating graphical user interfaces. The text also presents examples of Simulink® that highlight the advantages of using this software package for system modeling and simulation. The applications-dedicated chapters at the end of the book explore the use of MATLAB in digital signal processing, chemical and food engineering, astronomy, optics, financial derivatives, and much more.



MATLAB Handbook with Applications to Mathematics Science Engineering and Finance

MATLAB Handbook with Applications to Mathematics  Science  Engineering  and Finance Author Jose Miguel David Baez-Lopez
ISBN-10 1138626457
Release 2017-05-15
Pages
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The purpose of this handbook is to allow users to learn and master the mathematics software package MATLAB, 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 can be used by the novice and by experienced users alike. For experienced users, it has four chapters with examples and applications in engineering, finance, physics, and optimization. Exercises are included, along with solutions available for the interested reader on the book s web page. These exercises are a complement for the interested reader who wishes to get a deeper understanding of MATLAB and Simulink. "



Applied Nonlinear Time Series Analysis Applications in Physics Physiology and Finance

Applied Nonlinear Time Series Analysis  Applications in Physics  Physiology and Finance Author Michael Small
ISBN-10 9789814481229
Release 2005-03-28
Pages 260
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Nonlinear time series methods have developed rapidly over a quarter of a century and have reached an advanced state of maturity during the last decade. Implementations of these methods for experimental data are now widely accepted and fairly routine; however, genuinely useful applications remain rare. This book focuses on the practice of applying these methods to solve real problems. To illustrate the usefulness of these methods, a wide variety of physical and physiological systems are considered. The technical tools utilized in this book fall into three distinct, but interconnected areas: quantitative measures of nonlinear dynamics, Monte-Carlo statistical hypothesis testing, and nonlinear modeling. Ten highly detailed applications serve as case studies of fruitful applications and illustrate the mathematical techniques described in the text. Contents:Times Series Embedding and ReconstructionDynamics Measures and Topological InvariantsEstimation of Correlation DimensionThe Method of Surrogate DataNon-Standard and Nonlinear SurrogatesIdentifying the DynamicsApplications Readership: Postgraduate students, researchers, academics and practitioners in nonlinear physics and in various other areas of potential application (e.g. engineering, biology and medicine). Keywords:Deterministic Nonlinear Dynamics;Nonlinear Time Series Analysis;Chaos;Dynamical Systems;Computational Modeling;Simulation and Prediction;Correlation Dimension;Surrogate Time Series MethodsKey Features:Despite standard nonlinear modeling methods (neural networks, radial basis functions and so on) being the subject of numerous excellent texts, this book focuses on finding the best model and how to determine when a given model is “good enough”Several new, state-of-the-art methods to circumvent the problems of standard methods are described and demonstrated to have useful applicationsSurrogate data methods are extended beyond the linear domain to provide useful tests of several classes of nonlinear systems



Computerworld

Computerworld Author
ISBN-10
Release 1998-03-02
Pages 96
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For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.



Solving Problems in Scientific Computing Using Maple and MATLAB

Solving Problems in Scientific Computing Using Maple and MATLAB  Author Walter Gander
ISBN-10 3540211276
Release 2004-06-07
Pages 476
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Teaches problem-solving using two of the most important mathematical software packages: Maple and MATLAB. This new edition contains five completely new chapters covering new developments.



Computational Nanotechnology

Computational Nanotechnology Author Sarhan M. Musa
ISBN-10 9781439841761
Release 2011-07-26
Pages 537
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Applications of nanotechnology continue to fuel significant innovations in areas ranging from electronics, microcomputing, and biotechnology to medicine, consumer supplies, aerospace, and energy production. As progress in nanoscale science and engineering leads to the continued development of advanced materials and new devices, improved methods of modeling and simulation are required to achieve a more robust quantitative understanding of matter at the nanoscale. Computational Nanotechnology: Modeling and Applications with MATLAB® provides expert insights into current and emerging methods, opportunities, and challenges associated with the computational techniques involved in nanoscale research. Written by, and for, those working in the interdisciplinary fields that comprise nanotechnology—including engineering, physics, chemistry, biology, and medicine—this book covers a broad spectrum of technical information, research ideas, and practical knowledge. It presents an introduction to computational methods in nanotechnology, including a closer look at the theory and modeling of two important nanoscale systems: molecular magnets and semiconductor quantum dots. Topics covered include: Modeling of nanoparticles and complex nano and MEMS systems Theory associated with micromagnetics Surface modeling of thin films Computational techniques used to validate hypotheses that may not be accessible through traditional experimentation Simulation methods for various nanotubes and modeling of carbon nanotube and silicon nanowire transistors In regard to applications of computational nanotechnology in biology, contributors describe tracking of nanoscale structures in cells, effects of various forces on cellular behavior, and use of protein-coated gold nanoparticles to better understand protein-associated nanomaterials. Emphasizing the importance of MATLAB for biological simulations in nanomedicine, this wide-ranging survey of computational nanotechnology concludes by discussing future directions in the field, highlighting the importance of the algorithms, modeling software, and computational tools in the development of efficient nanoscale systems.



Essential MATLAB and Octave

Essential MATLAB and Octave Author Jesus Rogel-Salazar
ISBN-10 9781482234633
Release 2014-11-06
Pages 288
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Learn Two Popular Programming Languages in a Single Volume Widely used by scientists and engineers, well-established MATLAB® and open-source Octave are similar software programs providing excellent capabilities for data analysis, visualization, and more. By means of straightforward explanations and examples from different areas in mathematics, engineering, finance, and physics, Essential MATLAB and Octave explains how MATLAB and Octave are powerful tools applicable to a variety of problems. This text provides an introduction that reveals basic structures and syntax, demonstrates the use of functions and procedures, outlines availability in various platforms, and highlights the most important elements for both programs. Effectively Implement Models and Prototypes Using Computational Models This text requires no prior knowledge. Self-contained, it allows the reader to use the material whenever needed rather than follow a particular order. Compatible with both languages, the book material incorporates commands and structures that allow the reader to gain a greater awareness of MATLAB and Octave, write their own code, and implement their scripts and programs within a variety of applicable fields. It is always made clear when particular examples apply only to MATLAB or only to Octave, allowing the book to be used flexibly depending on readers’ requirements. Includes brief, simple code that works in both MATLAB and Octave Provides exercise sections at the end of each chapter Introduces framed examples and discussions with a scientific twist Exercises are provided at the end of each chapter Essential MATLAB and Octave offers an introductory course in MATLAB and Octave programming and is an authoritative resource for students in physics, mathematics, statistics, engineering, and any other subjects that require the use of computers to solve numerical problems.



The Student Edition of MATLAB

The Student Edition of MATLAB Author Duane C. Hanselman
ISBN-10 0132724855
Release 1997
Pages 429
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MATLAB offers numeric and symbolic computation, visualization and application-specific tools, with applications across engineering, science, matematics and technical disciplines. This edition offers students access to the MATLAB technical computing environment, for use on his/her personal computer.



Differential Equations with MATLAB

Differential Equations with MATLAB Author Mark McKibben
ISBN-10 9781466557086
Release 2014-09-08
Pages 497
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A unique textbook for an undergraduate course on mathematical modeling, Differential Equations with MATLAB: Exploration, Applications, and Theory provides students with an understanding of the practical and theoretical aspects of mathematical models involving ordinary and partial differential equations (ODEs and PDEs). The text presents a unifying picture inherent to the study and analysis of more than 20 distinct models spanning disciplines such as physics, engineering, and finance. The first part of the book presents systems of linear ODEs. The text develops mathematical models from ten disparate fields, including pharmacokinetics, chemistry, classical mechanics, neural networks, physiology, and electrical circuits. Focusing on linear PDEs, the second part covers PDEs that arise in the mathematical modeling of phenomena in ten other areas, including heat conduction, wave propagation, fluid flow through fissured rocks, pattern formation, and financial mathematics. The authors engage students by posing questions of all types throughout, including verifying details, proving conjectures of actual results, analyzing broad strokes that occur within the development of the theory, and applying the theory to specific models. The authors’ accessible style encourages students to actively work through the material and answer these questions. In addition, the extensive use of MATLAB® GUIs allows students to discover patterns and make conjectures.



Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB

Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB Author Alexander Stanoyevitch
ISBN-10 9781118031506
Release 2011-10-14
Pages 832
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Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB has been writing in one form or another for most of life. You can find so many inspiration from Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB book for free.



Introduction to MATLAB with Numerical Preliminaries

Introduction to MATLAB with Numerical Preliminaries Author Alexander Stanoyevitch
ISBN-10 0471697370
Release 2005
Pages 331
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Harness the power of MATLAB to analyze complex problems with matrices Introduction to MATLAB® with Numerical Preliminaries provides thorough training for using MATLAB software with an emphasis on scientific computing. Readers learn how to apply their knowledge to a variety of fields, including linear algebra, probability, finance, ecology, and discrete mathematics. The text carefully balances its coverage among four pedagogical components: analytic concepts, geometric concepts, programs and algorithms, and applications. Detailed problem sets build the reader's understanding and competence in each of these areas. All the tools needed to master and exploit all the powerful features of MATLAB are provided: "Exercises for the Reader," used throughout the text, that test readers' understanding of key concepts, helping them to move on to more advanced topics and applications (complete solutions are given in an appendix) Illustrative examples, provided throughout the text, that demonstrate MATLAB's ability to analyze an assortment of datasets Extensive coverage of MATLAB's graphical capabilities, enabling readers to express solutions to problems using high-quality graphics Explanations that are rigorous, yet written in a very accessible, user-friendly style Extensive problem sets, provided at the end of each section, that enable readers to apply their knowledge As one of the most popular mathematical software packages used in a wide range of fields including biology, physics, engineering, business, and finance, this is essential knowledge for anyone who may need to analyze data. Moreover, the author proves how easy MATLAB is to learn, including mastering its tremendous graphical capabilities. All that is needed is a basic understanding of single variable calculus. This is an excellent text for any course in MATLAB or scientific computing. Additionally, it serves as a supplementary text for any mathematics or science course that makes use of MATLAB.



MATLAB 5 0 for Engineers

MATLAB 5 0 for Engineers Author Joe King
ISBN-10 UVA:X004146050
Release 1998
Pages 124
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Now you can design a learning package that fits your introductory engineering course perfectly with The Engineer's Toolkit: A First Course in Engineering. The Engineer's Toolkit is Prentice Hall's innovative publishing program for introductory engineering. Consisting of modules that cover engineering skills and concepts, programming languages and software tools, The Engineer's Toolkit is a flexible solution for keeping up with the evolving curriculum of first-year engineering.



Practical MATLAB Basics for Engineers

Practical MATLAB Basics for Engineers Author Misza Kalechman
ISBN-10 1420047752
Release 2008-09-04
Pages 712
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A comprehensive and accessible primer, this tutorial immerses engineers and engineering students in the essential technical skills that will allow them to put Matlab® to immediate use. The book covers concepts such as: functions, algebra, geometry, arrays, vectors, matrices, trigonometry, graphs, pre-calculus and calculus. It then delves into the Matlab language, covering syntax rules, notation, operations, computational programming, and general problem solving in the areas of applied mathematics and general physics. This knowledge can be used to explore the basic applications that are detailed in Misza Kalechman’s companion volume, Practical Matlab Applications for Engineers (cat no. 47760). .



Numerical Methods in Finance and Economics

Numerical Methods in Finance and Economics Author Paolo Brandimarte
ISBN-10 9781118625576
Release 2013-06-06
Pages 696
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A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance. Reflecting this development, Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition bridges the gap between financial theory and computational practice while showing readers how to utilize MATLAB?--the powerful numerical computing environment--for financial applications. The author provides an essential foundation in finance and numerical analysis in addition to background material for students from both engineering and economics perspectives. A wide range of topics is covered, including standard numerical analysis methods, Monte Carlo methods to simulate systems affected by significant uncertainty, and optimization methods to find an optimal set of decisions. Among this book's most outstanding features is the integration of MATLAB?, which helps students and practitioners solve relevant problems in finance, such as portfolio management and derivatives pricing. This tutorial is useful in connecting theory with practice in the application of classical numerical methods and advanced methods, while illustrating underlying algorithmic concepts in concrete terms. Newly featured in the Second Edition: * In-depth treatment of Monte Carlo methods with due attention paid to variance reduction strategies * New appendix on AMPL in order to better illustrate the optimization models in Chapters 11 and 12 * New chapter on binomial and trinomial lattices * Additional treatment of partial differential equations with two space dimensions * Expanded treatment within the chapter on financial theory to provide a more thorough background for engineers not familiar with finance * New coverage of advanced optimization methods and applications later in the text Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition presents basic treatments and more specialized literature, and it also uses algebraic languages, such as AMPL, to connect the pencil-and-paper statement of an optimization model with its solution by a software library. Offering computational practice in both financial engineering and economics fields, this book equips practitioners with the necessary techniques to measure and manage risk.



MATLAB

MATLAB Author Amos Gilat
ISBN-10 0471439975
Release 2004
Pages 296
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Assuming no prior MATLAB experience, this clear, easy-to-read book walks readers through the ins and outs of this powerful software for technical computing Generously illustrated through computer screen shots and step-by-step tutorials that are applied in the areas of mathematics, science, and engineering Clearly shows how MATLAB is used in science and engineering



Risk

Risk Author
ISBN-10 UOM:39015048328127
Release 1999
Pages
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Risk has been writing in one form or another for most of life. You can find so many inspiration from Risk also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Risk book for free.



MATLAB 4 0 for Engineers

MATLAB 4 0 for Engineers Author Joe King
ISBN-10 0805364439
Release 1995-01-01
Pages 118
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MATLAB 4 0 for Engineers has been writing in one form or another for most of life. You can find so many inspiration from MATLAB 4 0 for Engineers also informative, and entertaining. Click DOWNLOAD or Read Online button to get full MATLAB 4 0 for Engineers book for free.