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  2. Data Analysis Expressions - Wikipedia

    en.wikipedia.org/wiki/Data_Analysis_eXpressions

    Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation.

  3. Three-way comparison - Wikipedia

    en.wikipedia.org/wiki/Three-way_comparison

    In C, the functions strcmp and memcmp perform a three-way comparison between strings and memory buffers, respectively. They return a negative number when the first argument is lexicographically smaller than the second, zero when the arguments are equal, and a positive number otherwise.

  4. General-purpose macro processor - Wikipedia

    en.wikipedia.org/wiki/General-purpose_macro...

    pyexpander is a general-purpose macro processor based on the Python programming language. In addition to simple macro replacement it allows evaluation of arbitrary Python expressions and execution of python code. Text Assembler 2014 Text Assembler is a general-purpose text/macro processor based on the JavaScript programming language. Beyond ...

  5. GMP - Wikipedia

    en.wikipedia.org/wiki/GMP

    GMP may refer to: Finance and economics. Gross metropolitan product, a measure of goods and services produced; Guaranteed maximum price, as agreed in some contracts;

  6. GNU Multiple Precision Arithmetic Library - Wikipedia

    en.wikipedia.org/wiki/GNU_Multiple_Precision...

    GNU Multiple Precision Arithmetic Library (GMP) is a free library for arbitrary-precision arithmetic, operating on signed integers, rational numbers, and floating-point numbers. [3] There are no practical limits to the precision except the ones implied by the available memory (operands may be of up to 2 32 −1 bits on 32-bit machines and 2 37 ...

  7. Dynamic mode decomposition - Wikipedia

    en.wikipedia.org/wiki/Dynamic_mode_decomposition

    In data science, dynamic mode decomposition (DMD) is a dimensionality reduction algorithm developed by Peter J. Schmid and Joern Sesterhenn in 2008. [1] [2] Given a time series of data, DMD computes a set of modes, each of which is associated with a fixed oscillation frequency and decay/growth rate.

  8. Numerical method - Wikipedia

    en.wikipedia.org/wiki/Numerical_method

    Let (,) = be a well-posed problem, i.e. : is a real or complex functional relationship, defined on the cross-product of an input data set and an output data set , such that exists a locally lipschitz function : called resolvent, which has the property that for every root (,) of , = ().

  9. Validation master plan - Wikipedia

    en.wikipedia.org/wiki/Validation_master_plan

    It is a key document in the GMP (Good manufacturing practice) regulated pharmaceutical industry as it drives a structured approach to validation projects. [ 2 ] Food and Drug Administration inspectors often look at VMPs during audits to see whether or not a facility's validation strategy is well thought-out and organized.