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  2. Multiplication algorithm - Wikipedia

    en.wikipedia.org/wiki/Multiplication_algorithm

    A multiplication algorithm is an algorithm (or method) to multiply two numbers. Depending on the size of the numbers, different algorithms are more efficient than others. Numerous algorithms are known and there has been much research into the topic.

  3. Executive summary - Wikipedia

    en.wikipedia.org/wiki/Executive_summary

    Executive summaries are important as a communication tool in both academia and business. For example, members of Texas A&M University's Department of Agricultural Economics observe that "An executive summary is an initial interaction between the writers of the report and their target readers: decision makers, potential customers, and/or peers.

  4. Template:Math - Wikipedia

    en.wikipedia.org/wiki/Template:Math

    The math template formats mathematical formulas generated using HTML or wiki markup. (It does not accept the AMS-LaTeX markup that <math> does.) The template uses the texhtml class by default for inline text style formulas, which aims to match the size of the serif font with the surrounding sans-serif font (see below).

  5. Multiplication - Wikipedia

    en.wikipedia.org/wiki/Multiplication

    The carry step of the multiplication can be performed at the final stage of the calculation (in bold), returning the final product of 45 × 256 = 11520. This is a variant of Lattice multiplication. The modern method of multiplication based on the Hindu–Arabic numeral system was first described by Brahmagupta. Brahmagupta gave rules for ...

  6. Arithmetic - Wikipedia

    en.wikipedia.org/wiki/Arithmetic

    Multiplication is an arithmetic operation in which two numbers, called the multiplier and the multiplicand, are combined into a single number called the product. [ 50 ] [ d ] The symbols of multiplication are × {\displaystyle \times } , ⋅ {\displaystyle \cdot } , and *.

  7. Matrix multiplication algorithm - Wikipedia

    en.wikipedia.org/wiki/Matrix_multiplication...

    The definition of matrix multiplication is that if C = AB for an n × m matrix A and an m × p matrix B, then C is an n × p matrix with entries = =. From this, a simple algorithm can be constructed which loops over the indices i from 1 through n and j from 1 through p, computing the above using a nested loop:

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