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  2. Rotation matrix - Wikipedia

    en.wikipedia.org/wiki/Rotation_matrix

    Pre-multiplication or post-multiplication The same point P can be represented either by a column vector v or a row vector w. Rotation matrices can either pre-multiply column vectors (Rv), or post-multiply row vectors (wR). However, Rv produces a rotation in the opposite direction with respect to wR. Throughout this article, rotations produced ...

  3. Slide rule - Wikipedia

    en.wikipedia.org/wiki/Slide_rule

    For example, the Fisher Controls company distributed a customized slide rule adapted to solving the equations used for selecting the proper size of industrial flow control valves. [ 26 ] Pilot balloon slide rules were used by meteorologists in weather services to determine the upper wind velocities from an ascending hydrogen or helium-filled ...

  4. Dice notation - Wikipedia

    en.wikipedia.org/wiki/Dice_notation

    1d6×5 or 5×d6 means "roll one 6-sided die, and multiply the result by 5." 3d6×10+3 means "roll three 6-sided dice, add them together, multiply the result by 10, and then add 3." Multiplication can also mean repeating throws of similar setup (usually represented by the letter "x", rather than the multiplication symbol):

  5. Petals Around the Rose - Wikipedia

    en.wikipedia.org/wiki/Petals_Around_the_Rose

    The answer to this roll is six. Petals Around the Rose is a mathematically challenging puzzle in which the object is to work out the formula by which a number is derived from the roll of a set of five or six dice. It is often used as an exercise in inductive reasoning. [1]

  6. Quaternion - Wikipedia

    en.wikipedia.org/wiki/Quaternion

    There are at least two ways of representing quaternions as matrices in such a way that quaternion addition and multiplication correspond to matrix addition and matrix multiplication. One is to use 2 × 2 complex matrices, and the other is to use 4 × 4 real matrices.

  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: