New edition of a well-known classic in the field; Previous edition sold over 6000 copies worldwide; Fully-worked examples; Many carefully selected problems
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Editorial Reviews
Review
From the reviews of the third edition: "This is the third edition of a famous work on the basics of numerical analysis. It is a well-written textbook for advanced undergraduate/beginning graduate students containing both classical methods and modern approaches to numerical mathematics. The theory is illustrated by many interesting examples, and carefully selected exercises lead the reader to a better understanding of the topics discussed. … The third edition contains new material and several improved passages and will be useful also for those who already use the previous editions." (European Mathematical Society Newsletter, September, 2003) "This is the third edition of a textbook first published in 1980. It is intended as a comprehensive introduction to … numerical analysis for the final year undergraduate or beginning graduate student. … As a reference work it is clearly organized and the table of contents … makes it easier to refer to individual sections. … it will serve both as an invaluable reference and as a means to acquire some more theoretical background … ." (Gerry Leversha, The Mathematical Gazette, Vol. 88 (512), 2004) "Among the book’s many particular features … we would like to emphasize the excellent presentation of the following topics: fast Fourier transform methods, thorough discussion of the most important minimization methods, solution of stiff or implicit ordinary differential equations, solution of differential algebraic systems, basics of multigrid methods. … This … makes the present well-written book very profitable for every reader interested in or working on problems of Numerical Analysis." (Ferenc Móricz, Acta Scientiarum Mathematicarum, Vol. 69, 2003)
Language Notes
Text: English (translation)
Original Language: German --This text refers to an alternate Hardcover edition.
Original Language: German --This text refers to an alternate Hardcover edition.
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Most Helpful Customer Reviews
12 of 13 people found the following review helpful:
3.0 out of 5 stars
Ok for reference,
By
This review is from: Introduction to Numerical Analysis (Hardcover)
This text makes a decent reference book, but I find that the introduction of new ideas is not accompanied with sufficient explanation or motivation. I find myself continuously refering back to Burden and Faires, "Numerical Analysis" instead for more clear and concise descriptions of the same concepts. While our professor required the book for the course (because it is on the book list for qualifying exams), he rarely refers to it. I have accumulated about 5 numerical analysis books now, and I would recommend Burden and Faires, "Numerical Analysis" (7th edition) as the best for senior undergradute to 1st-year graduate level, as it has the best combination of theory, explanation, and examples. Stoer presents slightly more theoretical motivation to problems, which I think would be more interesting the second time around, but not as an 'Introduction'.
13 of 16 people found the following review helpful:
4.0 out of 5 stars
A classic, but don't expect just recipes, this is maths,
By A Customer
This review is from: Introduction to Numerical Analysis (Texts in Applied Mathematics, No 12) (Hardcover)
A classic. However this book is not a "cookbook" of numerical recipes, rather it places a strong emphasys in the numerical properties of algorithms. Good all-rounder and good sections on linear systems and interpolation. You'll probably want to complement this book with specialists on matrix computations, ODE, PDE and optimisation.
1 of 1 people found the following review helpful:
3.0 out of 5 stars
So many typos!,
By Math Geek (Texas) - See all my reviews
This review is from: Introduction to Numerical Analysis (Hardcover)
This book is decent as a reference book but it rather dense for someone who is learning the material the first time. (I'm using this book for a graduate course after having seen much of the material as an undergraduate and it's still a little difficult to read.)
It also has an inexcusable amount of typos in it. By the third edition, this really shouldn't be a problem.
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Inside This Book
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First Sentence:
Based on their fundamentally different ways of representing numbers, two categories of computing machinery can be distinguished: (1) analog computers, (2) digital computers. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
norm lub, simple shooting method, support abscissas, row sum criterion, pivot vertex, multiple shooting method, acceptable eigenvalue, machine precision eps, pivot selection, rational interpolation problem, trapezoidal sum, same first column, exponent overflow, phase polynomials, simplex step, linear multistep method, multistep methods, predictor method, subdiagonal elements, operand set, vector iteration, triangular decomposition, trigonometric interpolation, extrapolation methods, band matrices Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Academic Press, Englewood Cliffs, Lecture Notes, John Wiley, North Holland, Clarendon Press, Matrix Computations, The Algebraic Eigenvalue Problem, Approximation Theory, Computer Science, Some Theorems New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Based on their fundamentally different ways of representing numbers, two categories of computing machinery can be distinguished: (1) analog computers, (2) digital computers. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
norm lub, simple shooting method, support abscissas, row sum criterion, pivot vertex, multiple shooting method, acceptable eigenvalue, machine precision eps, pivot selection, rational interpolation problem, trapezoidal sum, same first column, exponent overflow, phase polynomials, simplex step, linear multistep method, multistep methods, predictor method, subdiagonal elements, operand set, vector iteration, triangular decomposition, trigonometric interpolation, extrapolation methods, band matrices Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Academic Press, Englewood Cliffs, Lecture Notes, John Wiley, North Holland, Clarendon Press, Matrix Computations, The Algebraic Eigenvalue Problem, Approximation Theory, Computer Science, Some Theorems New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 100
books:
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100
books
cite this book:
See all 100 books citing this book
- The Algebraic Eigenvalue Problem (Monographs on Numerical Analysis) by the late J. H. Wilkinson on 4 pages
- Numerical Analysis (Proceedings of Symposia in Applied Mathematics, V. 22) by American Mathematical Society on 4 pages
- The Theory of Matrices in Numerical Analysis (Dover Books on Mathematics) by Alston S. Householder on page 287, page 463, and Back Matter
- Numerical Analysis by Walter Gautschi in Front Matter, page 188, and Back Matter
- Rounding Errors in Algebraic Processes by James H. Wilkinson on page 36, and page 363
See all 100 books this book cites
- Numerical Computation in Science and Engineering by C. Pozrikidis on page 223, page 326, and page 525
- Introduction to Interval Computation (Computer Science and Applied Mathematics) by Gotz Alefeld on page 112, page 119, and page 221
- Computing with Maple (Chapman Hall/CRC Mathematics Series) by Francis Wright on page 5, page 160, and Back Matter
- Signal Analysis: Time, Frequency, Scale, and Structure by Ronald L. Allen on page 99, and page 866
- The Nature of Mathematical Modeling by Neil Gershenfeld on page 74, and Back Matter
See all 100 books citing this book
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