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  2. Pairwise summation - Wikipedia

    en.wikipedia.org/wiki/Pairwise_summation

    Pairwise summation is the default summation algorithm in NumPy [9] and the Julia technical-computing language, [10] where in both cases it was found to have comparable speed to naive summation (thanks to the use of a large base case).

  3. NumPy - Wikipedia

    en.wikipedia.org/wiki/NumPy

    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]

  4. Rotation matrix - Wikipedia

    en.wikipedia.org/wiki/Rotation_matrix

    If we condense the skew entries into a vector, (x,y,z), then we produce a 90° rotation around the x-axis for (1, 0, 0), around the y-axis for (0, 1, 0), and around the z-axis for (0, 0, 1). The 180° rotations are just out of reach; for, in the limit as x → ∞ , ( x , 0, 0) does approach a 180° rotation around the x axis, and similarly for ...

  5. Kahan summation algorithm - Wikipedia

    en.wikipedia.org/wiki/Kahan_summation_algorithm

    var c = 0.0 // The array input has elements indexed for i = 1 to input.length do // c is zero the first time around. var y = input[i] + c // sum + c is an approximation to the exact sum. (sum,c) = Fast2Sum(sum,y) // Next time around, the lost low part will be added to y in a fresh attempt. next i return sum

  6. Symmetric matrix - Wikipedia

    en.wikipedia.org/wiki/Symmetric_matrix

    The sum and difference of two symmetric matrices is symmetric. This is not always true for the product : given symmetric matrices A {\displaystyle A} and B {\displaystyle B} , then A B {\displaystyle AB} is symmetric if and only if A {\displaystyle A} and B {\displaystyle B} commute , i.e., if A B = B A {\displaystyle AB=BA} .

  7. Anti-diagonal matrix - Wikipedia

    en.wikipedia.org/wiki/Anti-diagonal_matrix

    An n-by-n matrix A is an anti-diagonal matrix if the (i, j) th element a ij is zero for all rows i and columns j whose indices do not sum to n + 1. Symbolically: a i j = 0 ∀ i , j ∈ { 1 , … , n } , ( i + j ≠ n + 1 ) . {\displaystyle a_{ij}=0\ \forall i,j\in \left\{1,\ldots ,n\right\},\ (i+j\neq n+1).}

  8. Transformation matrix - Wikipedia

    en.wikipedia.org/wiki/Transformation_matrix

    We only consider stretches along the x-axis and y-axis. A stretch along the x-axis has the form x' = kx; y' = y for some positive constant k. (Note that if k > 1, then this really is a "stretch"; if k < 1, it is technically a "compression", but we still call it a stretch. Also, if k = 1, then the transformation is an identity, i.e. it has no ...

  9. Symmetry in mathematics - Wikipedia

    en.wikipedia.org/wiki/Symmetry_in_mathematics

    Symmetry occurs not only in geometry, but also in other branches of mathematics. Symmetry is a type of invariance: the property that a mathematical object remains unchanged under a set of operations or transformations. [1] Given a structured object X of any sort, a symmetry is a mapping of the object