Using algorithms to solve everyday programming problems and improve performance
Sebastopol, CA—Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. Algorithms in a Nutshell (O'Reilly, US $49.99) by George Heineman, Gary Pollice, and Stanley Selkow, describes existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs--with just enough math to let you understand and analyze algorithm performance.
"We intend this book to be used frequently by experienced programmers looking for appropriate solutions to their problems," write the authors. "Here you will find solutions to the problems you must overcome as a programmer veery day. You will learn what decisions lead to an improved performance of key algorithms that are essential for the success of your software applications. You will find real code that can be adapted to your needs and solution methods that you can learn."
Heineman, Pollice, and Selkow rigorously followed a set of principles as they designed, implemented and wrote this book. These were:
- Use real code, not pseudocode
- Separate the algorithm from the problem being solved
- Introduce just enough mathematics
- Support mathematical analysis empirically
"If these principles are meaningful to you," they add, "then you will find this book useful."
With its focus on application, rather than theory, Algorithms in a Nutshell provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate. With this book, you will:
- Solve a particular coding problem or improve on the performance of an existing solution
- Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use
- Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips
- Learn the expected performance of an algorithm, and the conditions it needs to perform at its best
- Discover the impact that similar design decisions have on different algorithms
- Learn advanced data structures to improve the efficiency of algorithms
With Algorithms in a Nutshell you'll learn how to improve the performance of key algorithms essential for the success of your software applications.
For a review copy or more information please email firstname.lastname@example.org. Please include your delivery address and contact information.
George T. Heineman is an Associate Professor of Computer Science at WPI. He was the Program Chair for the 2005 International Symposium on Component-Based Software Engineering.
Gary Pollice is a Professor of Practice at Worcester Polytechnic Institute. He made the move in 2003 to the hallowed halls of academia where he has been corrupting the minds of the next generation of software developers with radical ideas like, "learn how to work as part of a team and it's okay to be a nerd as long as you are a great one." Gary is also a co-author of Head First Object-Oriented Analysis and Design.
Stanley Selkow has been on the faculty at universities in Knoxville TN and Worcester MA, as well as Montreal, Chonqing, Lausanne and Paris for almost four decades. His major research has been in graph theory and algorithm design.
For more information about the book, including table of contents, index, author bios, and cover graphic, see: http://www.oreilly.com/catalog/9780596516246
Algorithms in a Nutshell
George T. Heineman , Gary Pollice , Stanley Selkow
ISBN: 9780596516246, 362 pages, Book Price: $49.99 USD, £30.99 GBP
PDF Price: $39.99 USD
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