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The New Matrix Model of Computation Based Purely on Quite a New Concept of the Matrix Computations for Extremely Quick Web Pages Loading

机译:基于极其快速网页加载的矩阵计算相当新概念的计算新矩阵模型

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We all dream of quick loading. Quicker than it is now. So that it loads immediately. What is needed for this? There are a lot of things to do. The most important things in it are computations. To speed up loading, we need to speed up computations. If we will find the way to multiply large numbers quicker than we have, the loading will be much quicker. How to do that? We need to multiply large numbers in time O(log n). How is that possible? A new model of computation may solve this problem. These are the algorithms that require considerably less amount of resources to perform them. The time complexity of the algorithm is the main (key) resource that we need to reduce to get the desired complexity. It seems incredible, but it is possible. We will get this through the sorting array. Best, worst, and average cases of a given algorithm could be considered for each particular input instance of the problem when analyzing algorithms. The worst-case complexity is the most used in algorithm analysis, it gives an upper bound on the resources required by the algorithm. Thus, the discovery of better algorithms brings the upper bound on the worst-case running time down. This paper presents the new matrix model of computation, which is based on the concept of the new matrix computations for advanced computing. The paper intends to prove the existence of better algorithms for any given input instance of the worst-case time complexity M(n) = O(n 2 ) that take O(log n) and provide extremely quick web pages loading and create a new topic in complexity.
机译:我们都梦想着快速装载。比现在更快。这样它就会立即加载。这是什么需要?有很多事情要做。它中最重要的事情是计算。为了加快加载,我们需要加快计算。如果我们会发现比我们更快的数量乘以大量的方式,负载将更快。怎么做?我们需要在时间o(log n)中乘以大数字。那有可能吗?一个新的计算模型可以解决这个问题。这些是需要更少的资源来执行它们的算法。算法的时间复杂性是我们需要减少以获得所需复杂性的主要(键)资源。这似乎令人难以置信,但有可能。我们将通过排序阵列获得此功能。在分析算法时,可以考虑最佳,最糟糕和平均的给定算法的情况。最坏情况的复杂性是最常用的算法分析,它给出了算法所需资源的上限。因此,更好的算法的发现将最坏情况运行时间的上限带来了上限。本文介绍了新的计算矩阵模型,这是基于用于高级计算的新矩阵计算的概念。本文旨在证明对于任何给定时间复杂度M(n)= o(n 2)的任何给定的输入实例的更好的算法存在于o(log n)并提供极其快速的网页加载并创建新的复杂性的主题。

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