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  2. Computational complexity of mathematical operations - Wikipedia

    en.wikipedia.org/wiki/Computational_complexity...

    Graphs of functions commonly used in the analysis of algorithms, showing the number of operations versus input size for each function. The following tables list the computational complexity of various algorithms for common mathematical operations.

  3. Stepped reckoner - Wikipedia

    en.wikipedia.org/wiki/Stepped_reckoner

    To multiply by a single digit, 0–9, a knob-shaped stylus is inserted in the appropriate hole in the dial, and the crank is turned. The multiplier dial turns clockwise, the machine performing one addition for each hole, until the stylus strikes a stop at the top of the dial. The result appears in the accumulator windows.

  4. Trachtenberg system - Wikipedia

    en.wikipedia.org/wiki/Trachtenberg_system

    The Trachtenberg system is a system of rapid mental calculation.The system consists of a number of readily memorized operations that allow one to perform arithmetic computations very quickly.

  5. 10,000 Steps Per Day Is A Myth—So How Much Should You Really ...

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    The 10,000 steps per day rule isn’t based in science. Here’s what experts have to say about how much you should actually walk per day for maximum benefits.

  6. ‘Committed’ eight-year-old walking a million steps in six ...

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  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:

  8. X-Men ’97 Gets 4 Million Views Within a Week of Release - AOL

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  9. Cannon's algorithm - Wikipedia

    en.wikipedia.org/wiki/Cannon's_algorithm

    After n steps, each processor has calculated all once and its sum is thus the searched . After the initial distribution of each processor, only the data for the next step has to be stored. These are the intermediate result of the previous sum, a a i k {\displaystyle a_{ik}} and a b k j {\displaystyle b_{kj}} .