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  2. 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:

  3. List of problems in loop theory and quasigroup theory

    en.wikipedia.org/wiki/List_of_problems_in_loop...

    They were found by the method of group modifications in (VojtÄ›chovský, 2006), and it was shown in (Nagy and VojtÄ›chovský, 2007) that the list is complete. The latter paper uses a linear-algebraic approach to Moufang loop extensions.

  4. Computational complexity of mathematical operations - Wikipedia

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

    The complexity of an elementary function is equivalent to that of its inverse, since all elementary functions are analytic and hence invertible by means of Newton's method. In particular, if either exp {\displaystyle \exp } or log {\displaystyle \log } in the complex domain can be computed with some complexity, then that complexity is ...

  5. Hadamard product (matrices) - Wikipedia

    en.wikipedia.org/wiki/Hadamard_product_(matrices)

    The NumPy numerical library interprets a*b or a.multiply(b) as the Hadamard product, and uses a@b or a.matmul(b) for the matrix product. With the SymPy symbolic library, multiplication of array objects as either a*b or a@b will produce the matrix product. The Hadamard product can be obtained with the method call a.multiply_elementwise(b). [22]

  6. Computational complexity of matrix multiplication - Wikipedia

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

    In theoretical computer science, the computational complexity of matrix multiplication dictates how quickly the operation of matrix multiplication can be performed. Matrix multiplication algorithms are a central subroutine in theoretical and numerical algorithms for numerical linear algebra and optimization, so finding the fastest algorithm for matrix multiplication is of major practical ...

  7. Our Crockpot Mac & Cheese Is Impossible To Mess Up - AOL

    www.aol.com/crockpot-mac-cheese-impossible-mess...

    Yields: 8-10 servings. Prep Time: 10 mins. Total Time: 1 hour 45 mins. Ingredients. Mac & Cheese. Kosher salt. 1 lb. (16 oz.) large elbow or corkscrew pasta

  8. Strassen algorithm - Wikipedia

    en.wikipedia.org/wiki/Strassen_algorithm

    Naïve matrix multiplication requires one multiplication for each "1" of the left column. Each of the other columns (M1-M7) represents a single one of the 7 multiplications in the Strassen algorithm. The sum of the columns M1-M7 gives the same result as the full matrix multiplication on the left.

  9. Some Costco eggs are recalled due to risk of salmonella - AOL

    www.aol.com/costco-eggs-recalled-due-risk...

    Some Costco eggs sold under the Kirkland Signature brand are being recalled due to the risk of salmonella, according to a notice from the U.S. Food and Drug Administration. The Kirkland Signature ...