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Office Open XML (also informally known as OOXML) [5] is a zipped, XML-based file format developed by Microsoft for representing spreadsheets, charts, presentations and word processing documents.
The Office Open XML file formats are a set of file formats that can be used to represent electronic office documents. There are formats for word processing documents, spreadsheets and presentations as well as specific formats for material such as mathematical formulas, graphics, bibliographies etc.
OpenOffice.org read .docx beginning with OpenOffice.org version 3.0 (October 2008). [24] QuickOffice, a mobile office suite for Symbian and Palm OS, supports spreadsheets in Office Open XML format. [25] The online Thinkfree Office will support Office Open XML spreadsheets and presentation files in the future. [29]
The template argument size counter keeps track of the total length of template arguments that have been substituted. Its limit is the same as the article size limit. Example: {{3x|{{2x|abcde}}}} has a template argument size of 40 bytes: the argument abcdeabcde is counted 3 times, the argument abcde twice.
The Bekenstein bound limits the amount of information that can be stored within a spherical volume to the entropy of a black hole with the same surface area. Thermodynamics limit the data storage of a system based on its energy, number of particles and particle modes. In practice, it is a stronger bound than the Bekenstein bound.
The central limit theorem states that the distribution of an average of many independent, identically distributed random variables tends toward the famous bell-shaped normal distribution with a probability density function of
Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points.
In fact, if we consider files of length N, if all files were equally probable, then for any lossless compression that reduces the size of some file, the expected length of a compressed file (averaged over all possible files of length N) must necessarily be greater than N. [citation needed] So if we know nothing about the properties of the data ...