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Description
Fourteen years after it was first issued, C++ expert Jon Bentley reinvents a true classic with the
second edition of his Programming Pearls. Completely revised and brought up to date with all new
code examples in C and C++, this book remains an exceptional tutorial for learning to think like a
programmer. The 'pearls' in question center not only on choosing the right algorithms (like binary
searches, sorting techniques, or sparse arrays) but also on showing how to solve problems
effectively. Each chapter frames a particular programming task--such as sorting numbers, creating
anagrams, or counting the words in a block of text--many drawn from Bentley's experiences in his
long career as a developer. The book traces the process of arriving at a fast, efficient, and
accurate solution, along with code profiling to discover what works best. After refining the correct
answer, each chapter enumerates programming principles that you can use on your own. The
author also challenges you to think like an engineer, and each chapter ends with about a dozen
problems to get you thinking creatively about design issues. (Sidebars on such historical topics as
the first computer solutions to computer chess, spell-checking, and even architectural design help
create a perspective on successful problem solving and make for a truly educational and enjoyable
tour of how to become a better programmer.) Bentley also asks the reader to think analytically
about the world with 'back of the envelope' estimation techniques drawn from engineering.
Appendices list the algorithms and code rules covered in the book, plus some sample solutions.
Fans of the first edition of this title will be pleased to see this favorite computer text brought up to
date for today's faster hardware. Whether you want to improve your command of algorithms or test
your problem-solving skills, the new version of Programming Pearl is a challenging, instructive,
and thoroughly entertaining resource. --Richard Dragan Topics covered: Programming and
problem-solving tutorial, sorting algorithms, merge sort, bit vectors, binary searches, program
correctness and testing, improving performance, engineering and problem-solving techniques,
performance estimates, designing for safety, divide-and-conquer and scanning algorithms, tuning
code, tips for more efficient memory usage, insertion sort, quicksort algorithms, sparse arrays,
searching algorithms, binary search trees, heaps, priority queues, searching text, and generating
random text. Read more Computer programming has many faces. Fred Brooks paints the big
picture inThe Mythical Man Month; his essays underscore the crucial role of managementin large
software projects. At a finer grain, Steve McConnell teaches good programmingstyle in Code
Complete. The topics in those books are the key to good softwareand the hallmark of the

professional programmer. Unfortunately, though, theworkmanlike application of those sound e