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  2. Java logging framework - Wikipedia

    en.wikipedia.org/wiki/Java_logging_framework

    A Java logging framework is a computer data logging package for the Java platform. This article covers general purpose logging frameworks. This article covers general purpose logging frameworks. Logging refers to the recording of activity by an application and is a common issue for development teams.

  3. Binary logarithm - Wikipedia

    en.wikipedia.org/wiki/Binary_logarithm

    For example, the binary logarithm of 1 is 0, the binary logarithm of 2 is 1, the binary logarithm of 4 is 2, and the binary logarithm of 32 is 5. The binary logarithm is the logarithm to the base 2 and is the inverse function of the power of two function.

  4. Log4j - Wikipedia

    en.wikipedia.org/wiki/Log4j

    They are the names that are known to the Java application. Each logger is independently configurable as to what level of logging (FATAL, ERROR, etc.) it currently logs. In early versions of Log4j, these were called category and priority, but now they're called logger and level, respectively. A Logger can send log messages to multiple Appenders.

  5. Binary search - Wikipedia

    en.wikipedia.org/wiki/Binary_search

    Binary search Visualization of the binary search algorithm where 7 is the target value Class Search algorithm Data structure Array Worst-case performance O (log n) Best-case performance O (1) Average performance O (log n) Worst-case space complexity O (1) Optimal Yes In computer science, binary search, also known as half-interval search, logarithmic search, or binary chop, is a search ...

  6. Iterated logarithm - Wikipedia

    en.wikipedia.org/wiki/Iterated_logarithm

    In computer science, lg * is often used to indicate the binary iterated logarithm, which iterates the binary logarithm (with base ) instead of the natural logarithm (with base e). Mathematically, the iterated logarithm is well defined for any base greater than e 1 / e ≈ 1.444667 {\displaystyle e^{1/e}\approx 1.444667} , not only for base 2 ...

  7. Log probability - Wikipedia

    en.wikipedia.org/wiki/Log_probability

    The sum of probabilities + is a bit more involved to compute in logarithmic space, requiring the computation of one exponent and one logarithm. However, in many applications a multiplication of probabilities (giving the probability of all independent events occurring) is used more often than their addition (giving the probability of at least ...

  8. Logarithm - Wikipedia

    en.wikipedia.org/wiki/Logarithm

    In mathematics, the logarithm to base b is the inverse function of exponentiation with base b. That means that the logarithm of a number x to the base b is the exponent to which b must be raised to produce x. For example, since 1000 = 10 3, the logarithm base of 1000 is 3, or log 10 (1000) = 3.

  9. Category:Logarithms - Wikipedia

    en.wikipedia.org/wiki/Category:Logarithms

    List of logarithmic identities; Logarithm of a matrix; Logarithm table; Logarithmic addition; Logarithmic convolution; Logarithmic decrement; Logarithmic differentiation; Logarithmic distribution; Logarithmic growth; Logarithmic number system; Logarithmic Sobolev inequalities; Logarithmus; Logarithmus binaris; Logarithmus decadis; Logarithmus ...