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  2. Euler's constant - Wikipedia

    en.wikipedia.org/wiki/Euler's_constant

    The area of the blue region converges to Euler's constant. Euler's constant (sometimes called the Euler–Mascheroni constant) is a mathematical constant, usually denoted by the lowercase Greek letter gamma (γ), defined as the limiting difference between the harmonic series and the natural logarithm, denoted here by log:

  3. Logarithm - Wikipedia

    en.wikipedia.org/wiki/Logarithm

    The logarithm is denoted "log b x" (pronounced as "the logarithm of x to base b", "the base-b logarithm of x", or most commonly "the log, base b, of x "). An equivalent and more succinct definition is that the function log b is the inverse function to the function x ↦ b x {\displaystyle x\mapsto b^{x}} .

  4. Significant figures - Wikipedia

    en.wikipedia.org/wiki/Significant_figures

    The base-10 logarithm of a normalized number (i.e., a × 10 b with 1 ≤ a < 10 and b as an integer), is rounded such that its decimal part (called mantissa) has as many significant figures as the significant figures in the normalized number. log 10 (3.000 × 10 4) = log 10 (10 4) + log 10 (3.000) = 4.000000...

  5. Logarithmic mean - Wikipedia

    en.wikipedia.org/wiki/Logarithmic_mean

    In mathematics, the logarithmic mean is a function of two non-negative numbers which is equal to their difference divided by the logarithm of their quotient. This calculation is applicable in engineering problems involving heat and mass transfer .

  6. Logistic regression - Wikipedia

    en.wikipedia.org/wiki/Logistic_regression

    In the above equations, the terms are as follows: is the logit function. The equation for (()) illustrates that the logit (i.e., log-odds or natural logarithm of the odds) is equivalent to the linear regression expression. denotes the natural logarithm.

  7. Finite difference - Wikipedia

    en.wikipedia.org/wiki/Finite_difference

    In an analogous way, one can obtain finite difference approximations to higher order derivatives and differential operators. For example, by using the above central difference formula for f ′(x + ⁠ h / 2 ⁠) and f ′(x − ⁠ h / 2 ⁠) and applying a central difference formula for the derivative of f ′ at x, we obtain the central difference approximation of the second derivative of f:

  8. Fibonacci sequence - Wikipedia

    en.wikipedia.org/wiki/Fibonacci_sequence

    The figure shows that 8 can be decomposed into 5 (the number of ways to climb 4 steps, followed by a single-step) plus 3 (the number of ways to climb 3 steps, followed by a double-step). The same reasoning is applied recursively until a single step, of which there is only one way to climb.

  9. Matrix exponential - Wikipedia

    en.wikipedia.org/wiki/Matrix_exponential

    The second step is possible due to the fact that, if AB = BA, then e At B = Be At. So, calculating e At leads to the solution to the system, by simply integrating the third step with respect to t . A solution to this can be obtained by integrating and multiplying by e A t {\displaystyle e^{{\textbf {A}}t}} to eliminate the exponent in the LHS.