Download or read book Numerical Analysis Using MATLAB and Spreadsheets written by Steven T. Karris and published by Orchard Publications. This book was released on 2004 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation This text provides complete, clear, and detailed explanations of the principal numerical analysis methods and well known functions used in science and engineering. These are illustrated with many practical examples. With this text the reader learns numerical analysis with many real-world applications, MATLAB, and spreadsheets simultaneously. This text includes the following chapters:? Introduction to MATLAB? Root Approximations? Sinusoids and Complex Numbers? Matrices and Determinants? Review of Differential Equations? Fourier, Taylor, and Maclaurin Series? Finite Differences and Interpolation? Linear and Parabolic Regression? Solution of Differential Equations by Numerical Methods? Integration by Numerical Methods? Difference Equations? Partial Fraction Expansion? The Gamma and Beta Functions? Orthogonal Functions and Matrix Factorizations? Bessel, Legendre, and Chebyshev Polynomials? Optimization MethodsEach chapter contains numerous practical applications supplemented with detailed instructionsfor using MATLAB and/or Microsoft Excel? to obtain quick solutions.

Download or read book Numerical Analysis Using MATLAB and Excel written by Steven T. Karris and published by Orchard Publications. This book was released on 2007 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is written primarily for students/readers who have a good background of high-school algebra, geometry, trigonometry, and the fundamentals of differential and integral calculus.

Download or read book Numerical Methods for Chemical Engineers Using Excel VBA and MATLAB written by Victor J. Law and published by CRC Press. This book was released on 2013-04-08 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: While teaching the Numerical Methods for Engineers course over the last 15 years, the author found a need for a new textbook, one that was less elementary, provided applications and problems better suited for chemical engineers, and contained instruction in Visual Basic® for Applications (VBA). This led to six years of developing teaching notes that have been enhanced to create the current textbook, Numerical Methods for Chemical Engineers Using Excel®, VBA, and MATLAB®. Focusing on Excel gives the advantage of it being generally available, since it is present on every computer—PC and Mac—that has Microsoft Office installed. The VBA programming environment comes with Excel and greatly enhances the capabilities of Excel spreadsheets. While there is no perfect programming system, teaching this combination offers knowledge in a widely available program that is commonly used (Excel) as well as a popular academic software package (MATLAB). Chapters cover nonlinear equations, Visual Basic, linear algebra, ordinary differential equations, regression analysis, partial differential equations, and mathematical programming methods. Each chapter contains examples that show in detail how a particular numerical method or programming methodology can be implemented in Excel and/or VBA (or MATLAB in chapter 10). Most of the examples and problems presented in the text are related to chemical and biomolecular engineering and cover a broad range of application areas including thermodynamics, fluid flow, heat transfer, mass transfer, reaction kinetics, reactor design, process design, and process control. The chapters feature "Did You Know" boxes, used to remind readers of Excel features. They also contain end-of-chapter exercises, with solutions provided.

Download or read book Numerical Analysis written by and published by . This book was released on 2015 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book MATLAB Programming for Numerical Analysis written by Cesar Lopez and published by Apress. This book was released on 2014-09-22 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Practical Numerical Analysis Using Microsoft Excel written by A. Nandy and published by Alpha Science Int'l Ltd.. This book was released on 2004 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents numerical analysis in an easy and lucid manner requiring no prior knowledge of computer programming or intricacies of mathematics using MS-EXCEL 2000 through built in functions of MS-Excel depicting with ease various analysis. The analysis used can also be done using earlier versions of MS-Excel. The majority of numerical analysis needs fall into the curve fitting, interpolation, solutions of equations, integration methods. For these Excel's features provide a very easy and inexpensive way to get the job done.

Download or read book Numerical Methods Using MATLAB written by John H. Mathews and published by . This book was released on 1999 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides an introduction to numerical analysis for either a single term course or a year long sequence. It is suitable for undergraduate students in mathematics, science, and engineering. Ample material is presented so that instructors will be able to select topics appropriate to their needs.

Download or read book Excel for Scientists and Engineers written by E. Joseph Billo and published by John Wiley & Sons. This book was released on 2007-04-06 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to fully harness the power of Microsoft Excel(r) to perform scientific and engineering calculations With this text as your guide, you can significantly enhance Microsoft Excel's(r) capabilities to execute the calculations needed to solve a variety of chemical, biochemical, physical, engineering, biological, and medicinal problems. The text begins with two chapters that introduce you to Excel's Visual Basic for Applications (VBA) programming language, which allows you to expand Excel's(r) capabilities, although you can still use the text without learning VBA. Following the author's step-by-step instructions, here are just a few of the calculations you learn to perform: * Use worksheet functions to work with matrices * Find roots of equations and solve systems of simultaneous equations * Solve ordinary differential equations and partial differential equations * Perform linear and non-linear regression * Use random numbers and the Monte Carlo method This text is loaded with examples ranging from very basic to highly sophisticated solutions. More than 100 end-of-chapter problems help you test and put your knowledge to practice solving real-world problems. Answers and explanatory notes for most of the problems are provided in an appendix. The CD-ROM that accompanies this text provides several useful features: * All the spreadsheets, charts, and VBA code needed to perform the examples from the text * Solutions to most of the end-of-chapter problems * An add-in workbook with more than twenty custom functions This text does not require any background in programming, so it is suitable for both undergraduate and graduate courses. Moreover, practitioners in science and engineering will find that this guide saves hours of time by enabling them to perform most of their calculations with one familiar spreadsheet package.

Download or read book Top Numerical Methods With Matlab For Beginners written by Andrei Besedin and published by Andrei Besedin via PublishDrive. This book was released on 2017-12-25 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you someone that involves in computation? Numerical methods cover some approaches and popular methods that you use daily. One of the best ways to apply numerical methods in any of your computations is by using Matlab. Yes, Matlab! This might seems like a big deal to you, but we believe it shouldn’t. If you already have the basic math knowledge, fundamental knowledge of computing and some familiarity with Matlab, applying the top numerical methods with Matlab as a beginner is not going to be a problem. With our powerful short product, you will not have any difficulty obtaining numerical solutions to problems. Of course, it is just one of the many benefits our top-notch book has to offer you if you purchase it. Some of the other advantages you can derive from our product are: Top numerical methods with Matlab and how to apply them It offers navigation index you can use as reference guide It shows how computations involving vectors and matrices are naturally expressed in Matlab Also, you will know how numerical methods work and why they fail Examples are provided for you to have a better understanding The advantages above are just little out of the huge benefits our top winning short book is ready to offer you. We know our book does not provide ultimate information about Matlab. But we have a primary goal, and it is to provide a solid foundation in top numerical methods using Matlab, most especially for beginners. Buying our book could save you about US$1000 which can take care of some other budgets. You don’t need to wait until tomorrow before you buy this incredibly advantageous short book. Start using numerical methods to obtain approximate solutions to problems that are not obtainable by other means today. To have the basic knowledge of the top numerical methods with Matlab all you need is just one click that can make the difference. Click the buy button at the upper right side of the page. Utilize this one in a million opportunity before it is too late. Grab your copy of the top winning book now!

Download or read book Applied Numerical Analysis Using MATLAB written by Laurene V. Fausett and published by . This book was released on 1999 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Each chapter uses introductory problems from specific applications. These easy-to-understand problems clarify for the reader the need for a particular mathematical technique. Numerical techniques are explained with an emphasis on why they work. FEATURES Discussion of the contexts and reasons for selection of each problem and solution method. Worked-out examples are very realistic and not contrived. MATLAB code provides an easy test-bed for algorithmic ideas.

Download or read book Computational Partial Differential Equations Using MATLAB written by Jichun Li and published by CRC Press. This book was released on 2019-09-26 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 including the classic finite difference method, finite element method, and state-of-the-art numercial methods.The text uniquely emphasizes both theoretical numerical analysis and practical implementation of the algorithms in MATLAB. This new edition includes a new chapter, Finite Value Method, the presentation has been tightened, new exercises and applications are included, and the text refers now to the latest release of MATLAB. Key Selling Points: A successful textbook for an undergraduate text on numerical analysis or methods taught in mathematics and computer engineering. This course is taught in every university throughout the world with an engineering department or school. Competitive advantage broader numerical methods (including finite difference, finite element, meshless method, and finite volume method), provides the MATLAB source code for most popular PDEs with detailed explanation about the implementation and theoretical analysis. No other existing textbook in the market offers a good combination of theoretical depth and practical source codes.

Download or read book An Introduction to Numerical Methods written by Abdelwahab Kharab and published by CRC Press. This book was released on 2023-06-13 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Numerical Methods: A MATLAB® Approach, Fifth Edition continues to offer readers an accessible and practical introduction to numerical analysis. It presents a wide range of useful and important algorithms for scientific and engineering applications, using MATLAB to illustrate each numerical method with full details of the computed results so that the main steps are easily visualized and interpreted. This edition also includes new chapters on Approximation of Continuous Functions and Dealing with Large Sets of Data. Features: Covers the most common numerical methods encountered in science and engineering Illustrates the methods using MATLAB Ideal as an undergraduate textbook for numerical analysis Presents numerous examples and exercises, with selected answers provided at the back of the book Accompanied by downloadable MATLAB code hosted at https/www.routledge.com/ 9781032406824

Download or read book Applied Numerical Analysis Using MATLAB written by Fausett and published by Pearson Education India. This book was released on 2009-09 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Introduction to Numerical Analysis Using MATLAB written by Butt and published by Jones & Bartlett Learning. This book was released on 2009-02-17 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical analysis is the branch of mathematics concerned with the theoretical foundations of numerical algorithms for the solution of problems arising in scientific applications. Designed for both courses in numerical analysis and as a reference for practicing engineers and scientists, this book presents the theoretical concepts of numerical analysis and the practical justification of these methods are presented through computer examples with the latest version of MATLAB. The book addresses a variety of questions ranging from the approximation of functions and integrals to the approximate solution of algebraic, transcendental, differential and integral equations, with particular emphasis on the stability, accuracy, efficiency and reliability of numerical algorithms. The CD-ROM which accompanies the book includes source code, a numerical toolbox, executables, and simulations.

Download or read book An Introduction to Numerical Methods written by Abdelwahab Kharab and published by CRC Press. This book was released on 2018-09-05 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: Previous editions of this popular textbook offered an accessible and practical introduction to numerical analysis. An Introduction to Numerical Methods: A MATLAB® Approach, Fourth Edition continues to present a wide range of useful and important algorithms for scientific and engineering applications. The authors use MATLAB to illustrate each numerical method, providing full details of the computed results so that the main steps are easily visualized and interpreted. This edition also includes a new chapter on Dynamical Systems and Chaos. Features Covers the most common numerical methods encountered in science and engineering Illustrates the methods using MATLAB Presents numerous examples and exercises, with selected answers at the back of the book

Download or read book An Introduction to Numerical Analysis Using Excel written by Anthony Mazzurco and published by . This book was released on 2019-08-30 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction into some of the basic theories and techniques of Numerical Analysis. Its main purpose is to provide the basis for a first level college course in this field. However, it is written in a way that would help any reader outside of the classroom, with an appropriate background, to attain insight and a fundamental understanding into this field of mathematics. The theory behind the various methods are explored and, where possible, derived in an intuitive manner. Traditionally, teaching this field relied on the student performing the repetitive steps of these procedures with pencil and paper or programming the algorithms on a computer using any one of a number of languages (e.g. FORTRAN, Pascal, or C). Here, these methods are demonstrated by implementing them in spreadsheets using Microsoft's Excel. The derivation of each of the spreadsheets is covered in depth so that the practical application of the theory is highlighted. With the use of examples, the student can see the numerical techniques actually converge to the problem's solution on their personal computer. The spreadsheets are generalized so that they can also be used by the student to solve other problems. Spreadsheets, like Excel, lend themselves to performing repetitive steps without frustrating the student with the likelihood of making simple arithmetic errors which detract from seeing the beauty of these techniques in operation. In addition, basic spreadsheets are relatively user-friendly and easy to understand so the student does not need to learn or avail themselves of a traditional programming language in order to understand this topic. The student only needs a basic understanding of spreadsheets in order to use this book. Whenever some of Excel's less common tools are used, an explanation is given to show how they are implemented. An example would be to show how a user-defined function is created. There are four main sections to this book. The first section covers finding roots of equations. The techniques are straight-forward and are generally described geometrically. Newton's Method does require an understanding of derivatives. The second section deals with numerical methods for evaluating definite integrals. Clearly, an understanding of integral calculus is required to fully appreciate what is going on. Techniques for performing some matrix operations are covered in the third Section. Mainly, it shows how the technique of transforming a matrix into reduced row echelon form can be employed to address many of these operations. Familiarity with inverses and determinants of matrices would be very useful. A lot of the operations addressed by the reduced echelon transformation (e.g. finding determinants) are actually built into Excel. The book demonstrates how these are used as well. In the Fourth Section, iterative techniques for some simple examples of differential equations are covered. It deals with equations of the general form dy/dx=f(x, y) where there is one known value of x and y, it implements techniques that will allow one to find the value of y that is associated with some other value of x. So a basic understanding of differential equations is required to fully appreciate this Section. Each of these Sections illustrates the techniques by walking through specific examples. By following the examples and illustrations, the reader will be able to reproduce and use the spreadsheets in other applications.

Download or read book Applied Numerical Methods Using MATLAB written by Won Y. Yang and published by John Wiley & Sons. This book was released on 2020-03-31 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.