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  2. Weak operator topology - Wikipedia

    en.wikipedia.org/wiki/Weak_operator_topology

    The predual of B(H) is the trace class operators C 1 (H), and it generates the w*-topology on B(H), called the weak-star operator topology or σ-weak topology. The weak-operator and σ-weak topologies agree on norm-bounded sets in B(H).

  3. Strong operator topology - Wikipedia

    en.wikipedia.org/wiki/Strong_operator_topology

    The SOT topology also provides the framework for the measurable functional calculus, just as the norm topology does for the continuous functional calculus. The linear functionals on the set of bounded operators on a Hilbert space that are continuous in the SOT are precisely those continuous in the weak operator topology (WOT).

  4. Successor function - Wikipedia

    en.wikipedia.org/wiki/Successor_function

    The successor function is denoted by S, so S(n) = n + 1. For example, S(1) = 2 and S(2) = 3. The successor function is one of the basic components used to build a primitive recursive function. Successor operations are also known as zeration in the context of a zeroth hyperoperation: H 0 (a, b) = 1 + b.

  5. Computational complexity of mathematical operations - Wikipedia

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

    Here, complexity refers to the time complexity of performing computations on a multitape Turing machine. [1] See big O notation for an explanation of the notation used. Note: Due to the variety of multiplication algorithms, () below stands in for the complexity of the chosen multiplication algorithm.

  6. Multiplication operator - Wikipedia

    en.wikipedia.org/wiki/Multiplication_operator

    Consider the Hilbert space X = L 2 [−1, 3] of complex-valued square integrable functions on the interval [−1, 3]. With f(x) = x 2, define the operator = for any function φ in X. This will be a self-adjoint bounded linear operator, with domain all of X = L 2 [−1, 3] and with norm 9. Its spectrum will be the interval [0, 9] (the range of ...

  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. Multiplication table - Wikipedia

    en.wikipedia.org/wiki/Multiplication_table

    The oldest known multiplication tables were used by the Babylonians about 4000 years ago. [2] However, they used a base of 60. [ 2 ] The oldest known tables using a base of 10 are the Chinese decimal multiplication table on bamboo strips dating to about 305 BC, during China's Warring States period.

  9. Booth's multiplication algorithm - Wikipedia

    en.wikipedia.org/wiki/Booth's_multiplication...

    Booth's multiplication algorithm is a multiplication algorithm that multiplies two signed binary numbers in two's complement notation. The algorithm was invented by Andrew Donald Booth in 1950 while doing research on crystallography at Birkbeck College in Bloomsbury , London . [ 1 ]