'Briggs's book is in some sense an update of Polya's classic, How to Solve It. Certainly Briggs pays due homage to the master, cites his four main principles of problem solving, and organizes his text in a manner that at least pays homage to Polya. But Briggs goes much further. His writing style is lively and attractive. He gets in the reader's face and stays in his/her face from page one. He does this in a friendly way, one that gets the reader involved and keeps him/her involved as the work progresses. ...The student will be carried along by this book, and ever anxious to learn the next new idea. I like Briggs's book so well that I would certainly make considerable use of his text the next time that I teach problem-solving.' Steven G. Krantz, Washington University in St. Louis 'More than 50 years ago, G. Polya wrote a book on problem solving strategies which became very popular, How to Solve It. Briggs's book is not intended to replace, but rather to complement Polya's classic book. For example, not only are Polya's principles of analytical problem solving cited and discussed in Briggs's book, but they are also adapted to computational problems. In fact, the interplay between the analytical and computational approaches to problem solving is very useful since computers became part of our daily lives. ... In summary, this is an excellent and opportune book about problem solving, not only for undergraduates, but for everyone who is interested in problem solving strategies.' Eduardo Abreu, BioMedical Engineering 'It is the problems that make this book worth a look. Nearly every mathematical puzzle that I can recall is represented in this book. If you believe (as I do) that problem solving can only be learned by solving problems, then this is the book for you.' Dr Jeffrey A. Graham, MAA Reviews

• Chapter 1: IntroductionChapter 2: A Problem Solving FrameworkChapter 3: Problem Solving StrategiesChapter 4: How Do You Do It? Chapter 5: Parts of the WholeChapter 6: A World of ChangeChapter 7: At Any RateChapter 8: Difference EquationsChapter 9: Insight and ComputingChapter 10: Take a ChanceChapter 11: Toward ModelingChapter 12: SolutionsBibliographyIndex.