As an experienced JavaScript developer moving to server-side
programming, you need to implement classic data structures and
algorithms associated with conventional object-oriented languages
like C# and Java. This practical guide shows you how to work
hands-on with a variety of storage mechanisms--including linked
lists, stacks, queues, and graphs--within the constraints of the
JavaScript environment.
Determine which data structures and algorithms are most
appropriate for the problems you're trying to solve, and understand
the tradeoffs when using them in a JavaScript program. An overview
of the JavaScript features used throughout the book is also
included.
This book covers: Arrays and lists: the most common data
structuresStacks and queues: more complex list-like data
structuresLinked lists: how they overcome the shortcomings of
arraysDictionaries: storing data as key-value pairsHashing: good
for quick insertion and retrievalSets: useful for storing unique
elements that appear only onceBinary Trees: storing data in a
hierarchical mannerGraphs and graph algorithms: ideal for modeling
networksAlgorithms: including those that help you sort or search
dataAdvanced algorithms: dynamic programming and greedy
algorithms
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