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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: 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
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