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  2. List of logarithmic identities - Wikipedia

    en.wikipedia.org/wiki/List_of_logarithmic_identities

    The multiple valued version of log(z) is a set, but it is easier to write it without braces and using it in formulas follows obvious rules. log(z) is the set of complex numbers v which satisfy e v = z; arg(z) is the set of possible values of the arg function applied to z. When k is any integer:

  3. Logarithm - Wikipedia

    en.wikipedia.org/wiki/Logarithm

    Because log(x) is the sum of the terms of the form log(1 + 2 −k) corresponding to those k for which the factor 1 + 2 −k was included in the product P, log(x) may be computed by simple addition, using a table of log(1 + 2 −k) for all k. Any base may be used for the logarithm table. [53]

  4. Common logarithm - Wikipedia

    en.wikipedia.org/wiki/Common_logarithm

    In mathematics, the common logarithm (aka "standard logarithm") is the logarithm with base 10. [1] It is also known as the decadic logarithm , the decimal logarithm and the Briggsian logarithm . The name "Briggsian logarithm" is in honor of the British mathematician Henry Briggs who conceived of and developed the values for the "common logarithm".

  5. Logarithmic number system - Wikipedia

    en.wikipedia.org/wiki/Logarithmic_number_system

    A logarithmic number system (LNS) is an arithmetic system used for representing real numbers in computer and digital hardware, especially for digital signal processing. Overview [ edit ]

  6. Zech's logarithm - Wikipedia

    en.wikipedia.org/wiki/Zech's_logarithm

    In particular, the addition and subtraction formulas need to treat = as a special case. This can be extended to arithmetic of the projective line by introducing another symbol + ∞ {\displaystyle +\infty } satisfying α + ∞ = ∞ {\displaystyle \alpha ^{+\infty }=\infty } and other rules as appropriate.

  7. Log probability - Wikipedia

    en.wikipedia.org/wiki/Log_probability

    Since the probabilities of independent events multiply, and logarithms convert multiplication to addition, log probabilities of independent events add. Log probabilities are thus practical for computations, and have an intuitive interpretation in terms of information theory : the negative expected value of the log probabilities is the ...

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