Class Definition Related
div.entry h2.title, div.entry h1.title
{ padding-bottom: 22px; background-color: #4e9258 ; font-family: serif; font-size:150%;}
Object-oriented programming (OOP) is a programming paradigm that uses "objects" – data structures consisting of data fields and methods together with their interactions – to design applications and computer programs
Reference/Source: http://en.wikipedia.org/wiki/Object-oriented_programming
Code Exposition
p.first{ color: blue; }
p.second{ color: red; }
<html>
<body>
<p>This is a normal paragraph.</p>
<p class="first">This is a paragraph that uses the p.first CSS code ! </p>
<p class="second">This is a paragraph that uses the p.second CSS code!</p>
...
Reference/Source:
http://www.tizag.com/cssT/class.php
Related Research
Actually, every OOP language should be concurrent in nature. As previously stated, OOP attempts to model objects found in the real world, and in the real world many of these objects con- currently exist and communicate with one another. In the 'ideal' environment (sort of a virtual machine), every object would have its own processor as well as its own memory space, allowing maximum concurrency at all times. Inherently concurrent obje- cts could even have multiple processors assigned to them. CONCURRENCY IN CONVENTIONAL OOP LANGUAGES C-Based Languages. C++ [Str86, WP88] and Objective-C [Cox86] do not include any constructs for handling concur- rency. However, since they are extensions of C [KR78], they can do anything that C can do. Although C itself does not support concurrency, any extension to C could most likely be implemented in a C-based OOP language. Additionally, any scheme in which C is allowed to make a call to the operating system to start (spawn) a new process could also be accomplished from a C-based OOP language. Eiffel [Mey88] does not include any form of concurrency, but they are reportedly making an effort in this direction. Lisp-Based Languages. Similar to C-based languages, CLOS [BDG88, Kee89, Moo89] (an extension of Common Lisp [Ste84]), does not include any constructs for handling concurrency and, unfortunately, Common Lisp does not support concurrency in any form either. However, as Lisp is a form of functional programming (which is based on the lambda calculus), some form of concurrency is possible. In pure functional programming, a program may be expressed as a single function call, with the arguments to the function themselves being function calls; the arguments to these functions can in turn be function calls, etc. Since the value returned by a pure function is determined solely by the arguments passed to it, implementations can be devised which allow for all of the arguments which are function calls to be executed in parallel. The arguments of these function calls which are themselves functions can then be executed in parallel, and so on. This is sometimes referred to as divide and conquer in that a program is divided up into concurrent subprograms (the arguments which are function calls) which can then be conquered (solved) by again using the divide and conquer scheme [Pey87]. Reference/Source: CONCURRENCY & OBJECT-ORIENTED PROGRAMMING Michael L. Nelson, Major, USAF Department of Computer Science Naval Postgraduate School Monterey, CA 93943