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 Python 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
