Other Sellers on Amazon
+ $3.99 shipping
86% positive over last 12 months
+ $3.99 shipping
96% positive over last 12 months
& FREE Shipping
89% positive over last 12 months
Usually ships within 3 to 4 days.

Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet, or computer - no Kindle device required. Learn more
Read instantly on your browser with Kindle Cloud Reader.
Using your mobile phone camera - scan the code below and download the Kindle app.


Mathematics by Experiment: Plausible Reasoning in the 21st Century 2nd Edition
Price | New from | Used from |
Enhance your purchase
- ISBN-101568814429
- ISBN-13978-1568814421
- Edition2nd
- PublisherA K Peters/CRC Press
- Publication dateOctober 27, 2008
- LanguageEnglish
- Dimensions6 x 0.88 x 9 inches
- Print length393 pages
Customers who viewed this item also viewed
Editorial Reviews
Review
Let me cut to the chase: every mathematics library requires a copy of this book. Every supervisor of higher degree students requires a copy on their shelf. Welcome to the rich world of computer-supported mathematics! --Mathematical Reviews
You are going to learn more math (experimental or otherwise). Not only that, you will learn by osmosis how to become an experimental mathematician. --American Scientist
Product details
- Publisher : A K Peters/CRC Press; 2nd edition (October 27, 2008)
- Language : English
- Hardcover : 393 pages
- ISBN-10 : 1568814429
- ISBN-13 : 978-1568814421
- Item Weight : 1.5 pounds
- Dimensions : 6 x 0.88 x 9 inches
- Best Sellers Rank: #3,424,080 in Books (See Top 100 in Books)
- #604 in Number Systems (Books)
- #724 in Discrete Mathematics (Books)
- #19,128 in Computer Science (Books)
- Customer Reviews:
About the author

Jonathan Michael Borwein, FRSC, FAAAS,FBAS, FAA is currently Laureate Professor in the School of Mathematical and Physical Sciences at the University of Newcastle (NSW). He directs the University's Priority Research Centre in Computer Assisted Research Mathematics and its Applications (CARMA).
A Rhodes Scholar, his research interests span pure (analysis), applied (optimization), computational (numerical and computational analysis) mathematics, and high performance computing. He has authored over a dozen books---most recently four on Experimental Mathematics (www.experimentalmath.info), a 2010 prize winning book on Convex Functions, a 2012 book on Lattice Sums and a 2014 book on Continued Fractions, and two on Modern Mathematical Computation---and over 400 refereed publications.
Customer reviews
Customer Reviews, including Product Star Ratings help customers to learn more about the product and decide whether it is the right product for them.
To calculate the overall star rating and percentage breakdown by star, we don’t use a simple average. Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. It also analyzed reviews to verify trustworthiness.
Learn more how customers reviews work on AmazonTop reviews from the United States
There was a problem filtering reviews right now. Please try again later.
Thus the way to discovery of mathematics, i.e. the heavy use of intuition, the disorganized shuffling of concepts, and the experimental doodling, has been masked by the final product of this process: a superb example of logical rigor and organization called modern mathematics. The authors of this book however think otherwise, and they give the best apology for the role of experimental mathematics than anyone else in the literature. The book is packed with highly interesting examples and challenging exercises, all of which are ample proof of the need for doing experimentation in mathematics.
In addition to these considerations, the book is just plain fun to read, and even though time constraints may prohibit the working out of every exercise, the book could be used profitably in a graduate course in mathematics or even possibly in an undergraduate course at the senior level. Hopefully this approach to scholarship in mathematics will take hold in this century, and mathematicians will not only write down their final results with all their splendid rigor, but also how they got there. This would serve to educate younger generations of mathematicians in just how discovery in mathematics is done and increase their efficacy in the same. The book will also assist those who are trying to build machines capable of discovering novel results in mathematics. Machine proofs of difficult theorems and conjectures are now a reality, and in the twenty-first century we will no doubt see many more of these.
This book therefore contains a lot of hints about how to proceed in mathematics. Its acceptance will depend on how well it does its job in the creation of new mathematical results and in the teaching of them. Results in mathematics that seem plausible serve to make conjectures and motivate the construction of rigorous proofs. This book is a first step in a hopefully larger work.
[...]
They write that applied mathematicians and many scientists and engineers were quick to embrace computer technology, while pure mathematicians -- whose field gave rise to computers in the first place, through the work of beautiful minds like Alan Turing's -- were slower to see the possibilities. Two decades ago, when Bailey and Borwein started collaborating, "there appeared to be a widespread view in the field that 'real mathematicians don't compute.'"
Their book is testament to a paradigm shift in the making. Hardware has "skyrocketed in power and plummeted in cost," and powerful mathematical software has come on the market. Just as important, "a new generation of mathematicians is eagerly becoming skilled at using these tools" -- people comfortable with the notion that "the computer provides the mathematician with a 'laboratory' in which he or she can perform experiments: analyzing examples, testing out new ideas, or searching for patterns."
In this virtual laboratory Bailey and Borwein, with other colleagues, were among the first to discover a number of remarkable new algorithms, among them an extraordinary, simple formula for finding any hexadecimal or binary digit of pi without knowing any of the preceding digits. Further research led to proof that a wide class of fundamental constants are mathematically "normal" -- probably including pi, alhough that remains to be proved.
Their section on "proof versus truth" is an example of the gems even a mathematical tyro can find among these equations. Bailey and Borwein don't claim computers can supply rigorous proofs. Rather, the computer is a way to discover truths -- and avenues for approaching formal proofs. But often, the authors add, "computations constitute very strong evidence..., at least as compelling as some of the more complex formal proofs in the literature."
Drawing on their own work and that of others, Bailey and Borwein not only explain experimental mathematics in a lively, surprisingly accessible fashion but give many engaging examples of the "new paradigm" in action.
Borwein and Bailey have been pioneers in the exploration of the types of mathematical problems that would lend themselves to solution using digital computational means. This book describes this new approach to mathematics, commonly called 'experimental mathematics.'
Obviously in computer related mathematics it began with a lot of emphasis on prime numbers, on calculating the value of Pi to ever greater precision. It has since moved on to many other classes of problems, and the work of the principle researchers in the field is summarized here.