Sequential algorithm
In this article we will explore in depth the topic of Sequential algorithm, its impact on today's society and its relevance in different areas. Throughout history, Sequential algorithm has been a topic of great interest and research, with multiple perspectives and approaches that have contributed to the understanding and development of new ideas. From its influence on the economy, culture and politics, to its impact on people's daily lives, Sequential algorithm has proven to be a multidimensional issue that deserves to be analyzed and discussed. Through exhaustive analysis, this article will seek to provide a clear and comprehensive view on Sequential algorithm, offering readers a deeper and more meaningful understanding of its importance today.
In computer science, a sequential algorithm or serial algorithm is an algorithm that is executed sequentially – once through, from start to finish, without other processing executing – as opposed to concurrently or in parallel. The term is primarily used to contrast with concurrent algorithm or parallel algorithm; most standard computer algorithms are sequential algorithms, and not specifically identified as such, as sequentialness is a background assumption. Concurrency and parallelism are in general distinct concepts, but they often overlap – many distributed algorithms are both concurrent and parallel – and thus "sequential" is used to contrast with both, without distinguishing which one. If these need to be distinguished, the opposing pairs sequential/concurrent and serial/parallel may be used.
"Sequential algorithm" may also refer specifically to an algorithm for decoding a convolutional code.[1]
See also
References
 | This algorithms or data structures-related article is a stub. You can help Wikipedia by expanding it. |