Experimental Mathematics – A Computational Perspective
A Computational Perspective
Series: AMS/MAA Textbooks;
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34 875 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher John Wiley & Sons
- Date of Publication 20 August 2025
- ISBN 9781470473976
- Binding Paperback
- No. of pages364 pages
- Size 254x178x20 mm
- Weight 686 g
- Language English 683
Categories
Short description:
Undergraduate students explore computational mathematics where experiments illuminate theoretical concepts. Rich examples drawn from number theory, complex analysis and probability inspire discovery. Over 450 problems and exercises foster both mathematical reasoning and practical programming skills.
MoreLong description:
This textbook is designed for an undergraduate course in computational or experimental mathematics. Many of the most interesting and important topics in theoretical mathematics are both motivated and illuminated by computation. By using a computer to explore and investigate mathematical phenomena, students are encouraged to conduct experiments and make their own discoveries. The explorations are motivated by rich and interesting mathematical examples drawn from diverse areas such as number theory, complex analysis, and probability. In this setting, students are exposed to key concepts from programming such as algorithms, recursion, and probabilistic sampling, allowing them to develop practical computational skills. Over 450 practice problems, exercises, and explorations are distributed regularly throughout the text, reinforcing the material and encouraging further investigations. A code repository, providing implementations of these examples, is available at the AMS webpage for the text. Thoroughly classroom tested and designed to show students how to combine mathematical and computational thinking, the book requires prior knowledge of only calculus and introductory linear algebra. Only minimal prior experience with computer programming is necessary, provided the reader has a computing environment, access to online documentation, and a willingness to experiment. Notably, the volume has been carefully prepared so that it may be used with almost any programming language.
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