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ALGLIB is an open source / commercial numerical analysis library with C++ version; Armadillo is a C++ linear algebra library (matrix and vector maths), aiming towards a good balance between speed and ease of use. [1] It employs template classes, and has optional links to BLAS and LAPACK. The syntax is similar to MATLAB.
C++ has a form of associative array called std::map ... // For the last array example it is used like this foreach ... Python 2.7 and 3.x also support dict ...
For example, the following Perl one-liner will reverse all the bytes in a file: perl -0777e 'print scalar reverse <>' filename While most Perl one-liners are imperative, Perl's support for anonymous functions, closures, map, filter (grep) and fold (List::Util::reduce) allows the creation of 'functional' one-liners.
In addition to support for vectorized arithmetic and relational operations, these languages also vectorize common mathematical functions such as sine. For example, if x is an array, then y = sin (x) will result in an array y whose elements are sine of the corresponding elements of the array x. Vectorized index operations are also supported.
1,3,7-Trimethyluric acid, also referred to as trimethyluric acid and 8-oxy-caffeine, is a purine alkaloid that is produced in some plants and occurs as a minor metabolite of caffeine in humans. [1] The enzymes that metabolize caffeine into 1,3,7-trimethyluric acid in humans include CYP1A2 , CYP2E1 , CYP2C8 , CYP2C9 , and CYP3A4 .
7-Methylxanthine (7-MX), also known as heteroxanthine, is an active metabolite of caffeine (1,3,7-trimethylxanthine) and theobromine (3,7-dimethylxanthine). [1] [2] It is a non-selective antagonist of the adenosine receptors. [1] [2] The compound may slow the progression of myopia (nearsightedness). [1] [2] It is under investigation for this ...
NumPy (pronounced / ˈ n ʌ m p aɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. [3]
Array programming is very well suited to implicit parallelization; a topic of much research nowadays.Further, Intel and compatible CPUs developed and produced after 1997 contained various instruction set extensions, starting from MMX and continuing through SSSE3 and 3DNow!, which include rudimentary SIMD array capabilities.