Search results
Results from the WOW.Com Content Network
Collection implementations in pre-JDK 1.2 versions of the Java platform included few data structure classes, but did not contain a collections framework. [4] The standard methods for grouping Java objects were via the array, the Vector, and the Hashtable classes, which unfortunately were not easy to extend, and did not implement a standard member interface.
A stream can be used similarly to a list, but later elements are only calculated when needed. Streams can therefore represent infinite sequences and series. [1] In the Smalltalk standard library and in other programming languages as well, a stream is an external iterator. As in Scheme, streams can represent finite or infinite sequences.
Since JDK 1.2, Java has included a standard set of collection classes, the Java collections framework. Doug Lea, who also participated in the Java collections framework implementation, developed a concurrency package, comprising several concurrency primitives and a large battery of collection-related classes. [19]
The Stream class provides methods for opening, reading, writing, and closing streams and flushing buffers, setting the file location, retrieving information, and other stream-related operations. While the OPEN method opens the stream, the ARRAYIN method can be used to read its content into an array object.
This page was last edited on 18 December 2006, at 20:22 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.
Most programming languages for stream processors start with Java, C or C++ and add extensions which provide specific instructions to allow application developers to tag kernels and/or streams. This also applies to most shading languages , which can be considered stream programming languages to a certain degree.
Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!
MOA is an open-source framework software that allows to build and run experiments of machine learning or data mining on evolving data streams. It includes a set of learners and stream generators that can be used from the graphical user interface (GUI), the command-line, and the Java API.