Many in the extreme and agile communities have long held the RationalUnified Process as being an antithesis approach to program development -citing it as being too process oriented, too rigid and structured, and overlyconcerned with documentation. This book is Rational's reaction to thatinaccurate perception. Using a project case study that is carried throughout thebook, the authors illustrate how agile techniques can be used effectively in aRUP environment. While not taking the extreme or agile communities to taskfor their expressed disdain for process, this book shows that process caneffectively accommodate design and development approaches which are notusually associated with the RUP. Software Engineering for Small Projectssuccessfully extends the appeal of the Rational Unified Process.

Software Development for Small Teams: A Rup-Centric Approach (Addison-wesley Object Technology Series)

Computers & Technology

Pollice, Gary

Lowe, Chris

Augustine, Liz

Madhur, Jas

Programming

Addison-Wesley

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. Algorithms in a Nutshell describes a large number of 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. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major 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:
<ul>
<li>Solve a particular coding problem or improve on the performance of an existing solution</li>
<li>Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use</li>
<li>Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips</li>
<li>Learn the expected performance of an algorithm, and the conditions it needs to perform at its best</li>
<li>Discover the impact that similar design decisions have on different algorithms</li>
<li>Learn advanced data structures to improve the efficiency of algorithms</li>
</ul>
With Algorithms in a Nutshell, you'll learn how to improve the performance of key algorithms essential for the success of your software applications.

Algorithms in a Nutshell

Heineman, George T.

Selkow, Stanley

Web Development & Design

O'Reilly Media

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of 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.
With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major 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:
<ul>
<li>Solve a particular coding problem or improve on the performance of an existing solution</li>
<li>Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use</li>
<li>Get algorithmic solutions in C, C++, Java, and Python with implementation tips</li>
<li>Learn the expected performance of an algorithm, and the conditions it needs to perform at its best</li>
<li>Discover the impact that similar design decisions have on different algorithms</li>
<li>Learn advanced data structures to improve the efficiency of algorithms</li>
</ul>

Algorithms in a Nutshell: A Practical Guide

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Books by Pollice, Gary