Purely Functional Data Structure


Purely Functional Data Structures by Chris Okasaki,

Purely Functional Data Structures by Chris Okasaki,
Most books on data structures assume an imperative language such as C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, purely functional data structure and presents design techniques that allow programmers to develop their own functional data structures. The author includes both classical data structures, such as red-black trees purely functional data structure and binomial queues, purely functional data structure and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML purely functional data structure and Haskell, purely functional data structure and most of the programs are easily adaptable to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.
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Persistent data structure - In computing, a persistent data structure is a data structure which always preserves the previous version of itself when it is modified; such data structures are effectively immutable, as their operations do not (visibly) update the structure in-place, but instead always yield a new updated structure. These type of data structures are particularly common in functional programming, and in a purely functional program all data is immutable.

Purely functional - Purely functional is a term in computing used to describe algorithms, data structures or programming languages that exclude destructive modifications (updates). As a consequence of this restriction, variables refer to immutable, persistent values.

Abstract data structure - In theoretical computer science, an abstract data structure is an abstract storage for data defined in terms of the set of operations to be performed on data and computational complexity for performing these operations, regardless the implementation in a concrete data structure.

Data structure - In computer science, a data structure is a way of storing data in a computer so that it can be used efficiently. Often a carefully chosen data structure will allow a more efficient algorithm to be used.

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