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Install mathematicaAUR (need historical version). The Mathematica_10.XX.YY_LINUX.sh installation script is required; you will need to download this separately from Wolfram.com, your university, etc. You will also need an activation key.

Install mathematicaAUR. Obtain Mathematica_11.XX.YY_LINUX.sh from Wolfram Research, along with an activation key, and save it to the package build directory. Successful install may throw non-critical errors: xdg-icon-resource, mkdir, xdg-desktop-menu. For more details see the mathematica PKGBUILD file.

Mathematica is also integrated with Wolfram Alpha, an online answer engine that provides additional data, some of which is kept updated in real time, for users who use Mathematica with an internet connection. Some of the data sets include astronomical, chemical, geopolitical, language, biomedical, airplane, and weather data, in addition to mathematical data (such as knots and polyhedra).[49]

Created by Stephen Wolfram, Mathematica is a calculation and estimation software that can be used in engineering and mathematical computations. Mathematica is a tool that has a vast application. It can be used for engineering analysis as well as in scientific research. In short it can be used where quantitative methods has to be applied.

Cryptographic researchers have finally cracked a 51-year-old code left by the Zodiac, a serial killer who terrorized Northern California in the late 1960s and early 1970s. Much of the work of cracking the code was done in Mathematica, the statistics package from Wolfram.

According to Discover Magazine, which wrote about the effort in a story published in its January/February 2022 issue, three researchers successfully cracked one of the messages attributed to the Zodiac killer, who authorities believe killed at least five people in the San Francisco Bay Area more than 50 years ago.

Magma is a large, well-supported software package designed for computations in algebra, number theory, algebraic geometry, and algebraic combinatorics. It provides a mathematically rigorous environment for defining and working with structures such as groups, rings, fields, modules, algebras, schemes, curves, graphs, designs, codes, and many others. Magma also supports a number of databases designed to aid computational research in those areas of mathematics which are algebraic in nature. The overview provides a summary of Magma's main features.

Magma is distributed by the Computational Algebra Group at the University of Sydney. Its development has benefited enormously from contributions made by many members of the mathematical community. We encourage all users to report any bugs they find; regular patch fixes are available from the downloads section.

The GNU Scientific Library (GSL) is a numerical library for C and C++ programmers. The library provides a wide range of mathematical routines such as random number generators, special functions and least-squares fitting.

IPython provides a rich architecture for interactive computing with: Powerful interactive shells (terminal and Qt-based). A browser-based notebook with support for code, text, mathematical expressions, inline plots and other rich media. Support for interactive data visualization and use of GUI toolkits. Flexible, embeddable interpreters to load into your own projects. Easy to use, high performance tools for parallel computing.

Version 2022About: Maple is a powerful mathematical tool. Maple's main focus is symbolic math, but Maple can also be used for numeric math. Maple is also a complete engineering tool.Access: All employees and students.RemoteApp: Maple 2022RDWeb Folder: Math and StatisticsCluster: calcfarmLink: NTNU-norsk, NTNU English, Maple

Version 7.4.10About: MathType is a powerful interactive equation editor that lets you create mathematical notation for word processing, web pages, desktop publishing, presentations, elearning, and for TeX, LaTeX, and MathML documents.Access: All students and employeesRemoteApp: via "Microsoft Word 2016"RDWeb Folder: OfficeCluster: adminfarm, officefarmLink: NTNU-norsk, NTNU English, MathType

Consider the problem of building a wall out of 2x1 and 3x1 bricks (horizontal x vertical dimensions) such that, for extra strength, the gaps between horizontally-adjacent bricks never line up in consecutive layers, i.e. never form a "running crack". For example, the following 9x3 wall is not acceptable due to the running crack shown in red: There are eight ways of forming a crack-free 9x3 wall, written W(9,3) = 8. Calculate W(32,10).

My solution can be divided in 3 steps: 1. generateRows: find every possible sequence of "long" and "short" bricks, store them in allRows 2. checkCompatibility: compare each possible row to each other to figure out which rows can be placed next to each other without running cracks, store in compatible 3. count: determine how many rows can be below the current row, based on information in compatible My rows contain the positions of the edges of two bricks (the "cracks"). The first and last are omitted because they are always 0 and 32 and not considered to be a crack. The first row of the 9x3 wall would be { 3, 5, 7 }, the second { 2, 4, 7 } and the bottom { 3, 6 }. Step 1 was implemented as a recursive function that adds a "long" and a "short" brick to a row until its width exceeds 32. Step 2 compares all rows and contains a stripped-down version of std::intersection to find values contained in two containers. Step 3 requires a bit of memoization but is the most simple step: it calls itself with all compatible rows. 2b1af7f3a8