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eBook A First Course in Numerical Analysis (International Series in Pure  Applied Mathematics) (International series in pure and applied mathematics) ePub

eBook A First Course in Numerical Analysis (International Series in Pure Applied Mathematics) (International series in pure and applied mathematics) ePub

by Philip Rabinowitz,Anthony Ralston

  • ISBN: 0070511586
  • Category: Mathematics
  • Subcategory: Math Science
  • Author: Philip Rabinowitz,Anthony Ralston
  • Language: English
  • Publisher: McGraw-Hill College; 2nd edition (February 1, 1978)
  • Pages: 556
  • ePub book: 1645 kb
  • Fb2 book: 1328 kb
  • Other: mobi lrf lrf mobi
  • Rating: 4.7
  • Votes: 530

Description

Get a full overview of International Series in Pure and Applied Mathematics Book Series. Formulas of the operational calculus and tables of functions round out the book

Get a full overview of International Series in Pure and Applied Mathematics Book Series. Most recent Volume: Operational Calculus. Formulas of the operational calculus and tables of functions round out the book. This monograph will be useful to engineers, who regard the operational calculus merely as a tool in their work, and readers who are interested in proofs of theorems and mathematical problems.

Introduction to numerical analysis (International series in pure and applied mathematics)

Only 2 left in stock (more on the way). Introduction to numerical analysis (International series in pure and applied mathematics).

Ralston, Anthony; Rabinowitz, Philip A First Course in Numerical Analysis (International Series in Pure & Applied Mathematics) (International series in pure and applied mathematics). ISBN 13: 9780070511583.

Principles of Mathematical Analysis : International Series in Pure and Applied Mathematics. This classic text is written for graduate courses in functional analysis. Anthony Ralston,Philip Rabinowitz, McGraw-Hill Math, 1978-2

Principles of Mathematical Analysis : International Series in Pure and Applied Mathematics. Walter Rudin, McGraw-Hill Education, 1976-2-16, GBP 11. 9. Differential Equations With Applications and Historical Notes. George F Simmons, McGraw-Hill Higher Education, 1991-2-1, GBP 11. Anthony Ralston,Philip Rabinowitz, McGraw-Hill Math, 1978-2. Numerical Methods for Scientists and Engineers. Richard W. Hamming, McGraw-Hill, 1962-12-1.

The journal was established in 1948 as the Communications on Applied Mathematics, obtaining its current title the next year.

Start by marking Principles of Mathematical Analysis (International Series in. .Chapter three covers numerical sequences and series (convergence, root and ratio tests, rearrangements)

Important results in Mathematics are given as exercises, which is cool, except that they are really hard, and there isn't enough material in the book to cover the problems. Chapter three covers numerical sequences and series (convergence, root and ratio tests, rearrangements). These simple notions, later to be generalized to other spaces than just the real number line, are basic to all of analysis.

The Cambridge International AS and A Level Mathematics syllabus viii. A Course in Complex Analysis - From Basic Results to Advanced Topics. There is still a need for this book, and for the college and university courses that use. Frontiers in Massive Data Analysis. P2 Pure Mathematics 2. 1 Cam. Stochastic equations through the eye of the physicist basic concepts, exact results and asymptotic approximations. 59 MB·25,530 Downloads·New!

Anthony Ralston, Philip Rabinowitz.

Anthony Ralston, Philip Rabinowitz. Outstanding text, oriented toward computer solutions, stresses errors in methods and computational efficiency. He has served as president of the American Federation for Information Processing Societies and the Association for Computing Machinery. He is a recipient of the ACM's Distinguished Service Award, a Fellow of the American Association for the Advancement of Science and a Fellow of the Royal Society of Arts.

International series in pure and applied mathematics) Bibliography: p. Includes index

International series in pure and applied mathematics) Bibliography: p. Includes index. 1. Mathematical analysis. 70 Absolute Convergence 71 Addition and Multiplication of Series 72 Rearrangements 75 Exercises 78 Chapter 4 Continuity 83 Limits of Functions 83 Continuous Functions 85 Continuity and Compactness 89 Continuity and Connectedness 93 Discontinuities 94 Monotonic Functions 95 Infinite Limits and Limits at Infinity 97 Exercises 98 Chapter 5 Differentiation 103 The Derivative of a Real Function 103 Mean Value Theorems 107 The.

Anthony Ralston, American Computer scientist, mathematician, educator. SOX0K/?tag prabook0b-20.

Outstanding text treats numerical analysis with mathematical rigor, but relatively few theorems and proofs. Oriented toward computer solutions of problems, it stresses errors in methods and computational efficiency. Problems — some strictly mathematical, others requiring a computer — appear at the end of each chapter.

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Comments

Wnex Wnex
Helpful and easy to follow.
tamada tamada
This is the Bible of Numerical Analysis and ,as The Bible, it never gets obsolete.
You can return to it, read it again and you will learn something new.
Very comprehensive, deep and mathematically rigorous.
ZEr0 ZEr0
Last time i get a dover book to understand something from basics...the book is not for someone who wants to understand basics of numerical analysis
ARE ARE
This is a good intermediate text on numerical analysis. The development of the underlying real variable theory is much more rigorous than the closely related and more recent text "Numerical Recipes in C". Also, there is more attention paid to function theoretic considerations such as notions of continuity and compactness. This is basically an introductory numerical functional analysis textbook. There are numerous good examples sprinkled throughout the text. To get the most out of this book, you need a working knowledge of advanced calculus, real analysis and linear algebra.
Diab Diab
This is the republication of the 2nd edition published by McGraw-Hill, 1978, with minor corrections. This Dover edition also includes 50 pages of Hints and Answers to Problems, which is very helpful. It is one of the 14 reference books listed in the Numerical Recipe in C: The Art of Scientific Computing, and the authors of the Recipe book says, of the 14 books, "These are the books that we like to have within easy reach." A. Ralston, of SUNY Buffalo, also co-wrote a book, Discrete Algorithmic Mathematics(DAM), which is easy and fun to read. But I am puzzled by the words - "Well-known and highly regarded even by those who have never used it." - on the back cover of the A K Peters edition of DAM. What do they mean?
Anararius Anararius
I strongly disagree with the title of this and feel it would be best suited as a second course. The reason being is that, nowadays, most people can be taught the basics of numerical theory without the actual theory. Whether that's a good thing or bad thing is irrelevant and a sign of the times; what matters is that this book assumes a knowledge of abstract thinking, if only a basic one, which today's undergraduates typically don't see for some time in their careers (assuming they're in a math department; it's entirely uncommon to not see theory at all in other programs).

As a result, this book isn't the most accessible. And indeed, reading the text has been a nightmare to me. Everything is just jammed together on as little space as possible with no real breaks to rest the eyes. It's easy to lose your place on a page and allowing large sequences/series to roll over multiple lines really isn't the best format.

It does offer some very good points, though. It has some of the best presentation of taking a "first" numerical algorithm and showing how it can be manipulated into a higher algorithm that's more in line with something people actually use. Compare it to Burden & Faires's Numerical Analysis text which doesn't do this very well at all, and this book clearly trains a student to think like a numerical analyst by thinking about the properties of the given function or set of data and the properties of common calculus/linear algebra techniques and how they can be handled.

The problems support this approach by being VERY meaningful and worthwhile to solve for a book of this level. But some of them lack motivation and, to someone inexperienced thinking like an analyst, can come off as just "pretentious" or "unnecessarily difficult" in a sense. But rest assured, most every problem here is motivational for a later topic or for thinking like an analyst and a numerical analyst.

Unfortunately, presentation counts, and as I said, this book lacks it in spades. It's definitely an academic book and not a very good reference at all, which is good but only temporarily so since you're more inclined to toss it when you're done and go find another text that has algorithms' pseudocode laid out rather than asking you to come up with them and "reinvent the wheel." So I just can't recommend it very strongly.
Winotterin Winotterin
If you are looking in to 3d Nurbs buy this book. If you are looking to build a robot from scratch buy this book. It may mean taking calculus and linear algebra but the algorithms are very advanced and quick. This is the math that every corporation would like you to have if you are an engineer. Plus it helps you understand many of the mathematicians. After reading this book you have excellent under pinning for your name.

P.S. This may be good for white hatter as well but I don't know since I am not into cryptography.

P.P.S. Did you always think that Sin() was a magical function? Well you will learn more than you every thought possible with this book. The optimization on you code can go through the roof. Plus this seems to be (but I still have not confirmed) a good way of understanding O notation and not to mention NP complete algorithms (Such what classifies a NP Complete problem).
I lost my original copy during my last move. Therefore, I was overjoyed that an inexpensive paperback version had been printed. A must for the numerical analyst's library.