Top Numerical Methods With Matlab For Beginners!
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About this ebook
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.
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Top Numerical Methods With Matlab For Beginners! - Andrei Besedin
Table of Contents
Table of Contents
Legal Notes and Disclaimer
Introduction
Chapter 1. Calculating values of function
Chapter 2. Interpolation, Extrapolation, Regression
Chapter 3. Equations and Systems of Equations
Chapter 4. Eigenvalue and Singular value decomposition
Chapter 5. Optimization
Chapter 6. Evaluating integrals
Chapter 7. Differential equations
Conclusion.
About The Author
Other Books By (Andrei Besedin)
Legal Notes and Disclaimer
Text Copyright © [Andrei Besedin]
All rights reserved. No part of this guide may be reproduced in any form without permission in writing from the publisher except in the case of brief quotations embodied in critical articles or reviews.
Legal & Disclaimer
The information contained in this book and its contents is not designed to replace or take the place of any form of medical or professional advice; and is not meant to replace the need for independent medical, financial, legal or other professional advice or services, as may be required. The content and information in this book has been provided for educational and entertainment purposes only.
The content and information contained in this book has been compiled from sources deemed reliable, and it is accurate to the best of the Author's knowledge, information and belief. However, the Author cannot guarantee its accuracy and validity and cannot be held liable for any errors and/or omissions. Furthermore, changes can be periodically made to this book as and when needed. Where appropriate and/or necessary, you must consult a professionalbefore using any of the suggested remedies, techniques, or information in this book.