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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

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.

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

Exercises in Computational Mathematics with MATLAB

Exercises in Computational Mathematics with MATLAB
A Book

by Tom Lyche,Jean-Louis Merrien

  • Publisher : Springer
  • Release : 2016-08-23
  • Pages : 372
  • ISBN : 9783662524008
  • Language : En, Es, Fr & De
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Designed to provide tools for independent study, this book contains student-tested mathematical exercises joined with MATLAB programming exercises. Most chapters open with a review followed by theoretical and programming exercises, with detailed solutions provided for all problems including programs. Many of the MATLAB exercises are presented as Russian dolls: each question improves and completes the previous program and results are provided to validate the intermediate programs. The book offers useful MATLAB commands, advice on tables, vectors, matrices and basic commands for plotting. It contains material on eigenvalues and eigenvectors and important norms of vectors and matrices including perturbation theory; iterative methods for solving nonlinear and linear equations; polynomial and piecewise polynomial interpolation; Bézier curves; approximations of functions and integrals and more. The last two chapters considers ordinary differential equations including two point boundary value problems, and deal with finite difference methods for some partial differential equations. The format is designed to assist students working alone, with concise Review paragraphs, Math Hint footnotes on the mathematical aspects of a problem and MATLAB Hint footnotes with tips on programming.

MATLAB Programming

MATLAB Programming
Mathematical Problem Solutions

by Dingyü Xue

  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 2020-03-23
  • Pages : 318
  • ISBN : 3110666952
  • 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.

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.

MATHEMATICS with MATLAB PROGRAMMING LANGUAGE Using MuPAD

MATHEMATICS with MATLAB PROGRAMMING LANGUAGE Using MuPAD
A Book

by E Valderrey

  • Publisher : Independently Published
  • Release : 2019-05-08
  • Pages : 260
  • ISBN : 9781097485154
  • Language : En, Es, Fr & De
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Symbolic Math Toolbox includes the MuPAD language, which is optimized for handling and operating on symbolic math expressions. It provides libraries of MuPAD functions in common mathematical areas, such as calculus and linear algebra, and in specialized areas, such as number theory and combinatorics. You can also write custom symbolic functions and libraries in the MuPAD language. The MuPAD Notebook app lets you document symbolic math derivations with embedded text, graphics, and typeset math. You can share the annotated derivations as HTML or as a PDF.You can access the Symbolic Math Toolbox functionality from the MuPAD Notebook using the MuPAD language. The MuPAD Notebook app includes a symbol palette for accessing common MuPAD functions. All results are displayed in typeset math. You also can plot math expressions, and embed graphics, animations, and descriptive text within your notebook.MuPAD supports standard programming structures, such as if-then-else statements and for-, while-, and repeat-loops. When you have a sequence of commands to perform repeatedly or that you want to save for future reference, store them in a program file. A MuPAD program file is a text file that contains any code snippet that you want to store separately from other computations. Saving a code snippet as a program file can be very helpful when you want to use the code in several notebooks. Typically, a program file contains a single procedure, but it also can contain one or more procedures or functions, assignments, statements, tests, or any other valid MuPAD code.As a shortcut for simple procedures, create and use functions. Compared to procedures, functions require less complicated syntax. Like procedures, functions let you use the same code for different arguments as many times as you need.

Linear Programming with MATLAB

Linear Programming with MATLAB
A Book

by Michael C. Ferris,Olvi L. Mangasarian,Stephen J. Wright

  • Publisher : SIAM
  • Release : 2007-01-01
  • Pages : 266
  • ISBN : 0898716438
  • Language : En, Es, Fr & De
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A self-contained introduction to linear programming using MATLAB® software to elucidate the development of algorithms and theory. Exercises are included in each chapter, and additional information is provided in two appendices and an accompanying Web site. Only a basic knowledge of linear algebra and calculus is required.

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.

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.

Advanced Engineering Mathematics Using MATLAB

Advanced Engineering Mathematics Using MATLAB
A Book

by Thomas L. Harman,James Dabney,Norman Richert

  • Publisher : Brooks/Cole
  • Release : 1997-01
  • Pages : 643
  • ISBN : 9780534943509
  • Language : En, Es, Fr & De
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This book may be used to supplement a traditional core text or as a non-traditional textbook as well as a resource for professionals. It presents mathematical techniques for applications in engineering, physics, and applied mathematics. The major topics are vector and matrix algebra, differential equations.

Intelligent Routines

Intelligent Routines
Solving Mathematical Analysis with Matlab, Mathcad, Mathematica and Maple

by George A. Anastassiou,Iuliana F. Iatan

  • Publisher : Springer Science & Business Media
  • Release : 2012-07-28
  • Pages : 582
  • ISBN : 3642284752
  • Language : En, Es, Fr & De
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Real Analysis is a discipline of intensive study in many institutions of higher education, because it contains useful concepts and fundamental results in the study of mathematics and physics, of the technical disciplines and geometry. This book is the first one of its kind that solves mathematical analysis problems with all four related main software Matlab, Mathcad, Mathematica and Maple. Besides the fundamental theoretical notions, the book contains many exercises, solved both mathematically and by computer, using: Matlab 7.9, Mathcad 14, Mathematica 8 or Maple 15 programming languages. The book is divided into nine chapters, which illustrate the application of the mathematical concepts using the computer. Each chapter presents the fundamental concepts and the elements required to solve the problems contained in that chapter and finishes with some problems left to be solved by the readers. The calculations can be verified by using a specific software such as Matlab, Mathcad, Mathematica or Maple.

MATLAB Numerical Calculations

MATLAB Numerical Calculations
A Book

by Cesar Lopez

  • Publisher : Apress
  • Release : 2015-01-05
  • Pages : 336
  • ISBN : 1484203461
  • 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. This book is designed for use as a scientific/business calculator so that you can get numerical solutions to problems involving a wide array of mathematics using MATLAB. Just look up the function you want in the book and you are ready to use it in MATLAB or use the book to learn about the enormous range of options that MATLAB offers. MATLAB Numerical Calculations focuses on MATLAB capabilities to give you numerical solutions to problems you are likely to encounter in your professional or scholastic life. It introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. Starting with a look at basic MATLAB functionality with integers, rational numbers and real and complex numbers, and MATLAB's relationship with Maple, you will learn how to solve equations in MATLAB, and how to simplify the results. You will see how MATLAB incorporates vector, matrix and character variables, and functions thereof. MATLAB is a powerful tool used to defined, manipulate and simplify complex algebraic expressions. With MATLAB you can also work with ease in matrix algebra, making use of commands which allow you to find eigenvalues, eigenvectors, determinants, norms and various matrix decompositions, among many other features. Lastly, you will see how you can write scripts and use MATLAB to explore numerical analysis, finding approximations of integrals, derivatives and numerical solutions of differential equations.

Using MATLAB Version 6

Using MATLAB Version 6
Computation, Visualization, Programming

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2000
  • Pages : 866
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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MATLAB Linear Algebra

MATLAB Linear Algebra
A Book

by Cesar Lopez

  • Publisher : Apress
  • Release : 2014-10-04
  • Pages : 272
  • ISBN : 1484203224
  • 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. MATLAB Linear Algebra introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving an introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to work in linear algebra with ease. In addition to exploring MATLAB’s matrix algebra capabilities, it describes the MATLAB commands that are used to create two- and three-dimensional graphics, including explicit, implicit and parametric curve and surface plotting, and various methods of data representation. Methods for solving systems of equations are detailed.

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.

Applied Optimization with MATLAB Programming

Applied Optimization with MATLAB Programming
A Book

by P. Venkataraman

  • Publisher : John Wiley & Sons
  • Release : 2009-03-23
  • Pages : 526
  • ISBN : 047008488X
  • Language : En, Es, Fr & De
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Over the last few decades, optimization techniques have been streamlined by the use of computers and artificial intelligence methods to analyze more variables (especially under non-linear, multivariable conditions) more quickly than ever before. This book covers all classical linear and nonlinear optimization techniques while focusing on the standard mathematical engine, MATLAB. As with the first edition, the author uses MATLAB in examples for running computer-based optimization problems. New coverage in this edition includes design optimization techniques such as Multidisciplinary Optimization, Explicit Solution for Boundary Value Problems, and Particle Swarm Optimization.

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 : 2020-05-12
  • Pages : 129
  • ISBN : 1119626803
  • 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.

Applied Numerical Methods Using MATLAB

Applied Numerical Methods Using MATLAB
A Book

by Won Y. Yang,Wenwu Cao,Tae-Sang Chung,John Morris

  • Publisher : John Wiley & Sons
  • Release : 2005-06-03
  • Pages : 400
  • ISBN : 0471705187
  • Language : En, Es, Fr & De
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In recent years, with the introduction of new media products, therehas been a shift in the use of programming languages from FORTRANor C to MATLAB for implementing numerical methods. This book makesuse of the powerful MATLAB software to avoid complex derivations,and to teach the fundamental concepts using the software to solvepractical problems. Over the years, many textbooks have beenwritten on the subject of numerical methods. Based on their courseexperience, the authors use a more practical approach and linkevery method to real engineering and/or science problems. The mainbenefit is that engineers don't have to know the mathematicaltheory in order to apply the numerical methods for solving theirreal-life problems. An Instructor's Manual presenting detailed solutions to all theproblems in the book is available online.