--- product_id: 1699083 title: "Numerical Methods for Scientists and Engineers (Dover Books on Mathematics)" price: "£46.76" currency: GBP in_stock: true reviews_count: 13 url: https://www.desertcart.co.uk/products/1699083-numerical-methods-for-scientists-and-engineers-dover-books-on-mathematics store_origin: GB region: United Kingdom --- # Numerical Methods for Scientists and Engineers (Dover Books on Mathematics) **Price:** £46.76 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Numerical Methods for Scientists and Engineers (Dover Books on Mathematics) - **How much does it cost?** £46.76 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.co.uk](https://www.desertcart.co.uk/products/1699083-numerical-methods-for-scientists-and-engineers-dover-books-on-mathematics) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description Numerical analysis is a subject of extreme interest to mathematicians and computer scientists, who will welcome this first inexpensive paperback edition of a groundbreaking classic text on the subject. In an introductory chapter on numerical methods and their relevance to computing, well-known mathematician Richard Hamming ("the Hamming code," "the Hamming distance," and "Hamming window," etc.), suggests that the purpose of computing is insight, not merely numbers. In that connection he outlines five main ideas that aim at producing meaningful numbers that will be read and used, but will also lead to greater understanding of how the choice of a particular formula or algorithm influences not only the computing but our understanding of the results obtained. The five main ideas involve (1) insuring that in computing there is an intimate connection between the source of the problem and the usability of the answers (2) avoiding isolated formulas and algorithms in favor of a systematic study of alternate ways of doing the problem (3) avoidance of roundoff (4) overcoming the problem of truncation error (5) insuring the stability of a feedback system. In this second edition, Professor Hamming (Naval Postgraduate School, Monterey, California) extensively rearranged, rewrote and enlarged the material. Moreover, this book is unique in its emphasis on the frequency approach and its use in the solution of problems. Contents include: I. Fundamentals and Algorithms II. Polynomial Approximation- Classical Theory Ill. Fourier Approximation- Modern Theory IV. Exponential Approximation ... and more Highly regarded by experts in the field, this is a book with unlimited applications for undergraduate and graduate students of mathematics, science and engineering. Professionals and researchers will find it a valuable reference they will turn to again and again. Review: One of the best - Numerical methods for scientists and engineers is a fantastic textbook. I've always been interested in numerical analysis. Numerical analysis to me is the perfect combination: it has both mathematics and programming. A good example of this idea is Numerical Recipes in C, where you have both algorithms and their implementation. That being said, this book delivers where Numerical Recipes misses. It provides insight and understanding and explains the algorithms, not in a cookbook fashion, rather in a linear progressive method. There's not a single piece of code yet the algorithms are clearly expressed. It provides a clear understanding of methods I've used but didn't truly understand. It adds by discussing topics that aren't usually discussed in regular Numerical analysis textbooks, such as universal matrices, Stirling numbers, and Bernoulli numbers, generating functions, Riemann zeta function, Hermite interpolation, Chebyshev approximation, Adams-Bashforth and Milne methods and much, much more. The book can be read by anyone with graduate level math background: calculus, linear algebra and ordinary differential equations. Previous knowledge of numerical analysis is not required, the first chapters cover the basics extremely well. Review: Great Book!!!! - Its easy to understand most of the methods included, the math theory or explanation is quite easy to understand in most cases as oppossed to "Numerical Analysis" by L. Burden which is extremely convoluted. However this last book I mentioned is also more complete which brings me to the only downside I noticed on this book, while some numerical methods are described with such elegance and simplicity, other methods are just mentiond and the author didnt provide examples to such methods, other methods are missing, some methods are not described in depth. There are no solutions to any of the excercises at the end of each method/chapter. That being said, overall I think this is the best numerical methods book Ive found so far. If you want a very complete book which include less common topics get Numerical Analysis by L. Burden, otherwise this book by R.W. Hamming is Just great!!!!! ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #1,110,433 in Books ( See Top 100 in Books ) #305 in Mathematical Analysis (Books) #1,767 in Mechanical Engineering (Books) #2,998 in Mathematics (Books) | | Customer Reviews | 4.4 out of 5 stars 149 Reviews | ## Images ![Numerical Methods for Scientists and Engineers (Dover Books on Mathematics) - Image 1](https://m.media-amazon.com/images/I/71w9VhN8UrL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ One of the best *by P***L on November 21, 2009* Numerical methods for scientists and engineers is a fantastic textbook. I've always been interested in numerical analysis. Numerical analysis to me is the perfect combination: it has both mathematics and programming. A good example of this idea is Numerical Recipes in C, where you have both algorithms and their implementation. That being said, this book delivers where Numerical Recipes misses. It provides insight and understanding and explains the algorithms, not in a cookbook fashion, rather in a linear progressive method. There's not a single piece of code yet the algorithms are clearly expressed. It provides a clear understanding of methods I've used but didn't truly understand. It adds by discussing topics that aren't usually discussed in regular Numerical analysis textbooks, such as universal matrices, Stirling numbers, and Bernoulli numbers, generating functions, Riemann zeta function, Hermite interpolation, Chebyshev approximation, Adams-Bashforth and Milne methods and much, much more. The book can be read by anyone with graduate level math background: calculus, linear algebra and ordinary differential equations. Previous knowledge of numerical analysis is not required, the first chapters cover the basics extremely well. ### ⭐⭐⭐⭐⭐ Great Book!!!! *by M***H on May 25, 2013* Its easy to understand most of the methods included, the math theory or explanation is quite easy to understand in most cases as oppossed to "Numerical Analysis" by L. Burden which is extremely convoluted. However this last book I mentioned is also more complete which brings me to the only downside I noticed on this book, while some numerical methods are described with such elegance and simplicity, other methods are just mentiond and the author didnt provide examples to such methods, other methods are missing, some methods are not described in depth. There are no solutions to any of the excercises at the end of each method/chapter. That being said, overall I think this is the best numerical methods book Ive found so far. If you want a very complete book which include less common topics get Numerical Analysis by L. Burden, otherwise this book by R.W. Hamming is Just great!!!!! ### ⭐⭐⭐⭐ Economical Reference on Numerical Methods *by D***N on February 18, 2011* The book is fairly pedestrian--there is nothing inside the book you won't find covered in other numerical analysis textbooks. Furthermore, the book is dated (1962) and the techniques are all 'classical'. The bulk of the text is devoted to polynomial approximation and Fourier approximation with a solid introduction to general numerical methods, algorithms, error analysis, etc. There are two distinguishing features for the book: 1. The paperback edition is quite economical. 2. The author is R.W. Hamming--inventor of the Hamming code, the Hamming window, etc. ## Frequently Bought Together - Numerical Methods for Scientists and Engineers (Dover Books on Mathematics) - Analysis of Numerical Methods (Dover Books on Mathematics) - Introduction to Applied Numerical Analysis (Dover Books on Mathematics) --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.co.uk/products/1699083-numerical-methods-for-scientists-and-engineers-dover-books-on-mathematics](https://www.desertcart.co.uk/products/1699083-numerical-methods-for-scientists-and-engineers-dover-books-on-mathematics) --- *Product available on Desertcart United Kingdom* *Store origin: GB* *Last updated: 2026-06-22*