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Program optimization. In computer science, program optimization, code optimization, or software optimization is the process of modifying a software system to make some aspect of it work more efficiently or use fewer resources. [1] In general, a computer program may be optimized so that it executes more rapidly, or to make it capable of ...
Google Code Jam was an international programming competition hosted and administered by Google. [ 2] The competition began in 2003. [ 3] The competition consists of a set of algorithmic problems which must be solved in a fixed amount of time. Competitors may use any programming language and development environment to obtain their solutions.
On June 20, 2023, Roblox started allowing games rated as only for players 17 years and over, which are permitted to have more graphic violence, romantic themes, and alcohol usage. [85] On July 27, 2023, Roblox was released as a public beta for the Meta Quest 2 and Meta Quest Pro. [8] The beta was downloaded over one million times within five ...
When code generation occurs at runtime, as in just-in-time compilation (JIT), it is important that the entire process be efficient with respect to space and time. For example, when regular expressions are interpreted and used to generate code at runtime, a non-deterministic finite state machine is often generated instead of a deterministic one, because usually the former can be created more ...
Code reuse. In software development (and computer programming in general), code reuse, also called software reuse, is the use of existing software, or software knowledge, to build new software, [1] [2] : 7 following the reusability principles . Code reuse may be achieved by different ways depending on a complexity of a programming language ...
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In mathematics, engineering, computer science and economics, an optimization problem is the problem of finding the best solution from all feasible solutions . Optimization problems can be divided into two categories, depending on whether the variables are continuous or discrete: An optimization problem with discrete variables is known as a ...
LDPC codes have no limitations of minimum distance, [34] that indirectly means that LDPC codes may be more efficient on relatively large code rates (e.g. 3/4, 5/6, 7/8) than turbo codes. However, LDPC codes are not the complete replacement: turbo codes are the best solution at the lower code rates (e.g. 1/6, 1/3, 1/2). [35] [36]