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Programming Mathematics Using MATLAB

Programming Mathematics Using MATLAB
A Book

by Lisa A. Oberbroeckling

  • Publisher : Academic Press
  • Release : 2020-05-09
  • Pages : 296
  • ISBN : 0128178000
  • Language : En, Es, Fr & De
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Providing an alternative to engineering-focused resources in the area, Programming Mathematics Using MATLAB® introduces the basics of programming and of using MATLAB® by highlighting many mathematical examples. Emphasizing mathematical concepts through the visualization of programming throughout the book, this useful resource utilizes examples that may be familiar to math students (such as numerical integration) and others that may be new (such as fractals). Additionally, the text uniquely offers a variety of MATLAB® projects, all of which have been class-tested thoroughly, and which enable students to put MATLAB® programming into practice while expanding their comprehension of concepts such as Taylor polynomials and the Gram–Schmidt process. Programming Mathematics Using MATLAB® is appropriate for readers familiar with sophomore-level mathematics (vectors, matrices, multivariable calculus), and is useful for math courses focused on MATLAB® specifically and those focused on mathematical concepts which seek to utilize MATLAB® in the classroom. Provides useful visual examples throughout for student comprehension Includes valuable, class-tested projects to reinforce both familiarity with MATLAB® and a deeper understanding of mathematical principles Offers downloadable MATLAB® scripts to supplement practice and provide useful example

MATLAB® Programming

MATLAB® Programming
Mathematical Problem Solutions

by Dingyü Xue

  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 2020-03-23
  • Pages : 318
  • ISBN : 3110663708
  • Language : En, Es, Fr & De
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This book presents fundamentals in MATLAB programming, including data and statement structures, control structures, function writing and bugging in MATLAB programming, followed by the presentations of algebraic computation, transcendental function evaluations and data processing. Advanced topics such as MATLAB interfacing, object-oriented programming and graphical user interface design are also addressed.

Mathematical Methods Using Matlab Programming Language

Mathematical Methods Using Matlab Programming Language
Applications to Integral Calculus, Equations, Derivatives and Differential Equations

by Scientific Books

  • Publisher : Createspace Independent Publishing Platform
  • Release : 2016-01-06
  • Pages : 262
  • ISBN : 9781523266876
  • Language : En, Es, Fr & De
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This book introduces programming techniques through MATLAB and your aplicattions in Mathematical Methods. It begins by introducing the MATLAB environment and the structure of MATLAB programming before moving on to the mathematics necessary for scientific calculus tasks. These tasks are introduced sequentially in order of technical difficulty. A wide range of exercises are included, illustrating techniques such as programming, numerical calculus, linear and non-linear equations, derivatives, integrals, differential equations and symbolic computation. These topics are augmented with examples that put into practice the most widely used mathematical methods.

Applied Optimization with MATLAB Programming

Applied Optimization with MATLAB Programming
A Book

by P. Venkataraman

  • Publisher : John Wiley & Sons
  • Release : 2002
  • Pages : 398
  • ISBN : 9780471349587
  • Language : En, Es, Fr & De
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This volume will cover all classical linear and nonlinear optimisation techniques while focusing on what has become the industry standard of mathematical engines, MATLAB.

An Introduction to Programming and Numerical Methods in MATLAB

An Introduction to Programming and Numerical Methods in MATLAB
A Book

by Steve Otto,James P. Denier

  • Publisher : Springer Science & Business Media
  • Release : 2005-05-03
  • Pages : 463
  • ISBN : 9781852339197
  • Language : En, Es, Fr & De
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An elementary first course for students in mathematics and engineering Practical in approach: examples of code are provided for students to debug, and tasks – with full solutions – are provided at the end of each chapter Includes a glossary of useful terms, with each term supported by an example of the syntaxes commonly encountered

Optimization Methods and Mathematical Programming Using MATLAB

Optimization Methods and Mathematical Programming Using MATLAB
A Book

by Scientific Books

  • Publisher : Createspace Independent Publishing Platform
  • Release : 2016-01-08
  • Pages : 218
  • ISBN : 9781523286331
  • Language : En, Es, Fr & De
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This book iegins by introducing the MATLAB environment and the structure of MATLAB programming. Below it is developed especially the Optimization Toolbox that includes algorithms for solving multiobjective problems, non-linear minimization with boundary conditions and restrictions, minimax optimization, semi-infinitely constrained minimization and linear and quadratic programming. A wide range of exercises are included, illustrating techniques such as linear programming, quadratic programming, non-linear least-squares and the solution of non-linear equations. These topics are augmented with examples that put into practice the most widely used optimization methods.

Practical Numerical and Scientific Computing with MATLAB® and Python

Practical Numerical and Scientific Computing with MATLAB® and Python
A Book

by Eihab B. M. Bashier

  • Publisher : CRC Press
  • Release : 2020-03-18
  • Pages : 330
  • ISBN : 0429666829
  • Language : En, Es, Fr & De
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Practical Numerical and Scientific Computing with MATLAB® and Python concentrates on the practical aspects of numerical analysis and linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Python. Although the book focuses on the approximation problem rather than on error analysis of mathematical problems, it provides practical ways to calculate errors. The book is divided into three parts, covering topics in numerical linear algebra, methods of interpolation, numerical differentiation and integration, solutions of differential equations, linear and non-linear programming problems, and optimal control problems. This book has the following advantages: It adopts the programming languages, MATLAB and Python, which are widely used among academics, scientists, and engineers, for ease of use and contain many libraries covering many scientific and engineering fields. It contains topics that are rarely found in other numerical analysis books, such as ill-conditioned linear systems and methods of regularization to stabilize their solutions, nonstandard finite differences methods for solutions of ordinary differential equations, and the computations of the optimal controls. It provides a practical explanation of how to apply these topics using MATLAB and Python. It discusses software libraries to solve mathematical problems, such as software Gekko, pulp, and pyomo. These libraries use Python for solutions to differential equations and static and dynamic optimization problems. Most programs in the book can be applied in versions prior to MATLAB 2017b and Python 3.7.4 without the need to modify these programs. This book is aimed at newcomers and middle-level students, as well as members of the scientific community who are interested in solving math problems using MATLAB or Python.

Environmental Modeling

Environmental Modeling
Using MATLAB®

by Ekkehard Holzbecher

  • Publisher : Springer Science & Business Media
  • Release : 2007-08-30
  • Pages : 392
  • ISBN : 3540729372
  • Language : En, Es, Fr & De
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The book has two aims: to introduce basic concepts of environmental modeling and to facilitate the application of the concepts using modern numerical tools such as MATLAB and FEMLAB. It is targeted at all natural scientists dealing with the environment: process and chemical engineers, physicists, chemists, biologists, biochemists, hydrogeologists, geochemists and ecologists. FEMLAB is a natural complement to MATLAB, as it is a special tool for those tasks which cannot be performed with the basic MATLAB software.

Linear Programming Using MATLAB®

Linear Programming Using MATLAB®
A Book

by Nikolaos Ploskas,Nikolaos Samaras

  • Publisher : Springer
  • Release : 2017-10-28
  • Pages : 637
  • ISBN : 3319659197
  • Language : En, Es, Fr & De
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This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MATLAB® code. The MATLAB® implementations presented in this book are sophisticated and allow users to find solutions to large-scale benchmark linear programs. Each algorithm is followed by a computational study on benchmark problems that analyze the computational behavior of the presented algorithms. As a solid companion to existing algorithmic-specific literature, this book will be useful to researchers, scientists, mathematical programmers, and students with a basic knowledge of linear algebra and calculus. The clear presentation enables the reader to understand and utilize all components of simplex-type methods, such as presolve techniques, scaling techniques, pivoting rules, basis update methods, and sensitivity analysis.

Advanced Mathematics and Mechanics Applications Using MATLAB, Third Edition

Advanced Mathematics and Mechanics Applications Using MATLAB, Third Edition
A Book

by David Halpern,Howard B. Wilson,Louis H. Turcotte

  • Publisher : CRC Press
  • Release : 2002-09-17
  • Pages : 696
  • ISBN : 1420035444
  • Language : En, Es, Fr & De
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Since its introduction in 1984, MATLAB's ever-growing popularity and functionality have secured its position as an industry-standard software package. The user-friendly, interactive environment of MATLAB 6.x, which includes a high-level programming language, versatile graphics capabilities, and abundance of intrinsic functions, helps users focus on their applications rather than on programming errors. MATLAB has now leapt far ahead of FORTRAN as the software of choice for engineering applications.

Applied Numerical Methods Using MATLAB

Applied Numerical Methods Using MATLAB
A Book

by Won Y. Yang,Wenwu Cao,Jaekwon Kim,Kyung W. Park,Ho-Hyun Park,Jingon Joung,Jong-Suk Ro,Han L. Lee,Cheol-Ho Hong,Taeho Im

  • Publisher : John Wiley & Sons
  • Release : 2020-03-31
  • Pages : 656
  • ISBN : 1119626714
  • Language : En, Es, Fr & De
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This new edition provides an updated approach for students, engineers, and researchers to apply numerical methods for solving problems using MATLAB® This accessible book makes use of MATLAB® software to teach the fundamental concepts for applying numerical methods to solve practical engineering and/or science problems. It presents programs in a complete form so that readers can run them instantly with no programming skill, allowing them to focus on understanding the mathematical manipulation process and making interpretations of the results. Applied Numerical Methods Using MATLAB®, Second Edition begins with an introduction to MATLAB usage and computational errors, covering everything from input/output of data, to various kinds of computing errors, and on to parameter sharing and passing, and more. The system of linear equations is covered next, followed by a chapter on the interpolation by Lagrange polynomial. The next sections look at interpolation and curve fitting, nonlinear equations, numerical differentiation/integration, ordinary differential equations, and optimization. Numerous methods such as the Simpson, Euler, Heun, Runge-kutta, Golden Search, Nelder-Mead, and more are all covered in those chapters. The eighth chapter provides readers with matrices and Eigenvalues and Eigenvectors. The book finishes with a complete overview of differential equations. Provides examples and problems of solving electronic circuits and neural networks Includes new sections on adaptive filters, recursive least-squares estimation, Bairstow's method for a polynomial equation, and more Explains Mixed Integer Linear Programing (MILP) and DOA (Direction of Arrival) estimation with eigenvectors Aimed at students who do not like and/or do not have time to derive and prove mathematical results Applied Numerical Methods Using MATLAB®, Second Edition is an excellent text for students who wish to develop their problem-solving capability without being involved in details about the MATLAB codes. It will also be useful to those who want to delve deeper into understanding underlying algorithms and equations.

Introduction to MATLAB® for Biologists

Introduction to MATLAB® for Biologists
A Book

by Cerian Ruth Webb,Mirela Domijan

  • Publisher : Springer
  • Release : 2019-08-01
  • Pages : 175
  • ISBN : 3030213374
  • Language : En, Es, Fr & De
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This textbook takes you from the very first time you open MATLAB® through to a position where you can comfortably integrate this computer language into your research or studies. The book will familiarise you with the MATLAB interface, show you how to use the program ́s built-in functions and carefully guide you towards creating your own functions and scripts so that you can use MATLAB as a sophisticated tool to support your own research. A central aim of this book is to provide you with the core knowledge and skills required to become a confident MATLAB user so that you can find and make use of the many specialist functions and toolboxes that have been developed to support a wide range of biological applications. Examples presented within the book are selected to be relevant to biological scientists and they illustrate some of the many ways the program can be incorporated into, and used to enhance, your own research and studies. The textbook is a must-have for students and researchers in the biological sciences. It will also appeal to readers of all backgrounds who are looking for an introduction to MATLAB which is suitable for those with little or no experience of programming.

MATLAB ESSENTIALS FOR PROBLEM SOLVING

MATLAB ESSENTIALS FOR PROBLEM SOLVING

by MANOJ KHANNA,GEETA BHATT,PAWAN KUMAR,

  • Publisher : PHI Learning Pvt. Ltd.
  • Release : 2016-06-14
  • Pages : 344
  • ISBN : 8120351754
  • Language : En, Es, Fr & De
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This textbook introduces powerful computational software tool called MATLAB. The main objective of this book is to expose the readers to MATLAB features that integrate computation, visualization and programming in an easy-to-use environment. This book covers built-in functions of MATLAB, commands and their applications in topics of mathematical physics and engineering mathematics. The book is written in a very simple language and chapters are arranged sequentially. Each topic covered in this book, has its corresponding theoretical explanation prior to its MATLAB execution. The authors explain concepts with the help of screenshots of the MATLAB software and programming codes with their outputs. This approach not only creates a direct link between the book and the MATLAB software but also imbibes the feeling of actual interaction with MATLAB software. A sufficient number of examples based on MATLAB programming codes have been worked out so that students can grasp the concepts, the ideas, and the results in an easy way. At the end of each chapter, students will have a chance to answer several application-based questions in exercise. All these features make this book to be used as a textbook for theoretical learning as well as for laboratory course. The book is suitable for the undergraduate and postgraduate students of mathematics, physics, instrumentation and electronics. The undergraduate students of engineering will also find this book useful.

MATLAB Programming for Numerical Analysis

MATLAB Programming for Numerical Analysis
A Book

by Cesar Lopez

  • Publisher : Apress
  • Release : 2014-09-22
  • Pages : 244
  • ISBN : 1484202953
  • Language : En, Es, Fr & De
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MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. Programming MATLAB for Numerical Analysis introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. You will first become familiar with the MATLAB environment, and then you will begin to harness the power of MATLAB. You will learn the MATLAB language, starting with an introduction to variables, and how to manipulate numbers, vectors, matrices, arrays and character strings. You will learn about MATLAB’s high-precision capabilities, and how you can use MATLAB to solve problems, making use of arithmetic, relational and logical operators in combination with the common functions and operations of real and complex analysis and linear algebra. You will learn to implement various numerical methods for optimization, interpolation and solving non-linear equations. You will discover how MATLAB can solve problems in differential and integral calculus, both numerically and symbolically, including techniques for solving ordinary and partial differential equations, and how to graph the solutions in brilliant high resolution. You will then expand your knowledge of the MATLAB language by learning how to use commands which enable you to investigate the convergence of sequences and series, and explore continuity and other analytical features of functions in one and several variables.

Practical MATLAB

Practical MATLAB
With Modeling, Simulation, and Processing Projects

by Irfan Turk

  • Publisher : Apress
  • Release : 2019-10-29
  • Pages : 297
  • ISBN : 1484252810
  • Language : En, Es, Fr & De
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Apply MATLAB programming to the mathematical modeling of real-life problems from a wide range of topics. This pragmatic book shows you how to solve your programming problems, starting with a brief primer on MATLAB and the fundamentals of the MATLAB programming language. Then, you’ll build fully working examples and computational models found in the financial, engineering, and scientific sectors. As part of this section, you’ll cover signal and image processing, as well as GUIs. After reading and using Practical MATLAB and its accompanying source code, you’ll have the practical know-how and code to apply to your own MATLAB programming projects. What You Will Learn Discover the fundamentals of MATLAB and how to get started with it for problem solving Apply MATLAB to a variety of problems and case studies Carry out economic and financial modeling with MATLAB, including option pricing and compound interest Use MATLAB for simulation problems such as coin flips, dice rolling, random walks, and traffic flows Solve computational biology problems with MATLAB Implement signal processing with MATLAB, including currents, Fast Fourier Transforms (FFTs), and harmonic analysis Process images with filters and edge detection Build applications with GUIs Who This Book Is For People with some prior experience with programming and MATLAB.

Numerical Linear Algebra with Applications

Numerical Linear Algebra with Applications
Using MATLAB

by William Ford

  • Publisher : Academic Press
  • Release : 2014-09-14
  • Pages : 628
  • ISBN : 0123947847
  • Language : En, Es, Fr & De
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Numerical Linear Algebra with Applications is designed for those who want to gain a practical knowledge of modern computational techniques for the numerical solution of linear algebra problems, using MATLAB as the vehicle for computation. The book contains all the material necessary for a first year graduate or advanced undergraduate course on numerical linear algebra with numerous applications to engineering and science. With a unified presentation of computation, basic algorithm analysis, and numerical methods to compute solutions, this book is ideal for solving real-world problems. The text consists of six introductory chapters that thoroughly provide the required background for those who have not taken a course in applied or theoretical linear algebra. It explains in great detail the algorithms necessary for the accurate computation of the solution to the most frequently occurring problems in numerical linear algebra. In addition to examples from engineering and science applications, proofs of required results are provided without leaving out critical details. The Preface suggests ways in which the book can be used with or without an intensive study of proofs. This book will be a useful reference for graduate or advanced undergraduate students in engineering, science, and mathematics. It will also appeal to professionals in engineering and science, such as practicing engineers who want to see how numerical linear algebra problems can be solved using a programming language such as MATLAB, MAPLE, or Mathematica. Six introductory chapters that thoroughly provide the required background for those who have not taken a course in applied or theoretical linear algebra Detailed explanations and examples A through discussion of the algorithms necessary for the accurate computation of the solution to the most frequently occurring problems in numerical linear algebra Examples from engineering and science applications

Solving Applied Mathematical Problems with MATLAB

Solving Applied Mathematical Problems with MATLAB
A Book

by Anonim

  • Publisher : CRC Press
  • Release : 2008-11-03
  • Pages : 446
  • ISBN : 9781420082517
  • Language : En, Es, Fr & De
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This textbook presents a variety of applied mathematics topics in science and engineering with an emphasis on problem solving techniques using MATLAB®. The authors provide a general overview of the MATLAB language and its graphics abilities before delving into problem solving, making the book useful for readers without prior MATLAB experience. They explain how to generate code suitable for various applications so that readers can apply the techniques to problems not covered in the book. Examples, figures, and MATLAB scripts enable readers with basic mathematics knowledge to solve various applied math problems in their fields while avoiding unnecessary technical details.

An Engineer's Introduction to Programming with MATLAB 2018

An Engineer's Introduction to Programming with MATLAB 2018
A Book

by Shawna Lockhart,Eric Tilleson

  • Publisher : SDC Publications
  • Release : 2018-05
  • Pages : 250
  • ISBN : 1630572063
  • Language : En, Es, Fr & De
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This book accomplishes two things simultaneously: it teaches you to use the latest version of the powerful MATLAB programming environment, and it teaches you core, transferrable programming skills that will make you feel at home with most procedural programming languages. MATLAB has been in existence for more than 30 years and is used by millions of engineers, scientists, and students worldwide, both for its depth and its easy usability. With dozens of specialized toolboxes available beyond the core program, as well as its companion program Simulink for simulation and model-based design, MATLAB can serve as an invaluable aid throughout your career. Unlike many MATLAB books, ours assumes no prior experience in computer programming. Using an approachable tone, we take you from the simplest variables through complex examples of data visualization and curve fitting. Each chapter builds on the last, presenting an in-depth tutorial on a focused concept central to programming, using the MATLAB language, but applicable to countless other popular and in-demand languages such as C++, Java, JavaScript, R, and Python. We'll ask you to perform short exercises as we work through each chapter, followed by more end-to-end exercises and mental challenges at the chapter's end. As the complexity of the concepts increases, the exercises present increasingly real-world engineering challenges to match. Once you've completed An Engineer's Introduction to Programming with MATLAB 2018, you will have a solid foundation in computer programming forms and concepts and a comfort with the MATLAB environment and programming language. We believe that you'll enjoy both gaining and having that knowledge, and that you'll be able to use it almost immediately with your other coursework.

Learning MATLAB

Learning MATLAB
A Book

by Tobin A. Driscoll

  • Publisher : SIAM
  • Release : 2009-07-23
  • Pages : 97
  • ISBN : 0898716837
  • Language : En, Es, Fr & De
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A handbook for MATLAB which gives a focused approach to the software for students and professional researchers.

Basics of MATLAB Programming

Basics of MATLAB Programming
A Book

by R. Balaji

  • Publisher : Notion Press
  • Release : 2020-09-03
  • Pages : 390
  • ISBN : 164892624X
  • Language : En, Es, Fr & De
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The first edition of ‘Basics of MATLAB Programming’ offers a brief glimpse of the power and flexibility of MATLAB. This book is intended to assist undergraduates with learning in programming, specifically in MATLAB. The MATLAB codes are given in Courier New font [MATLAB font] to get the feel of MATLAB environment. It combines engineering mathematics with MATLAB. This book has around ten chapters comprising Arrays, Functions, Control statements, Plotting, Simulink and other miscellaneous concepts. It consists of many real-life examples which help in better understanding of MATLAB.