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  2. Conditional probability - Wikipedia

    en.wikipedia.org/wiki/Conditional_probability

    In this situation, the event A can be analyzed by a conditional probability with respect to B. If the event of interest is A and the event B is known or assumed to have occurred, "the conditional probability of A given B", or "the probability of A under the condition B", is usually written as P(A|B) [2] or occasionally P B (A).

  3. DBAR problem - Wikipedia

    en.wikipedia.org/wiki/DBAR_problem

    The DBAR problem, or the ¯-problem, is the problem of solving the differential equation ¯ (, ¯) = for the function (, ¯), where () is assumed to be known and = + is a complex number in a domain.

  4. Taylor dispersion - Wikipedia

    en.wikipedia.org/wiki/Taylor_dispersion

    with diffusivity given by the effective diffusivity. The assumption is that c ′ ≪ c ¯ {\displaystyle c'\ll {\bar {c}}} for given z {\displaystyle z} , which is the case if the length scale in the z {\displaystyle z} direction is long enough to smooth the gradient in the r {\displaystyle r} direction.

  5. Vertical pressure variation - Wikipedia

    en.wikipedia.org/wiki/Vertical_pressure_variation

    z is the elevation in meters, R is the specific gas constant = 287.053 J/(kg K) T is the absolute temperature in kelvins = 288.15 K at sea level, g is the acceleration due to gravity = 9.806 65 m/s 2 at sea level, P is the pressure at a given point at elevation z in Pascals, and; P 0 is pressure at the reference point = 101,325 Pa at sea level.

  6. Schwartz–Zippel lemma - Wikipedia

    en.wikipedia.org/wiki/Schwartz–Zippel_lemma

    Identity testing is the problem of determining whether a given multivariate polynomial is the 0-polynomial, the polynomial that ignores all its variables and always returns zero. The lemma states that evaluating a nonzero polynomial on inputs chosen randomly from a large-enough set is likely to find an input that produces a nonzero output.

  7. Probability-generating function - Wikipedia

    en.wikipedia.org/wiki/Probability-generating...

    Probability generating functions obey all the rules of power series with non-negative coefficients. In particular, () =, where () =, < (), x approaching 1 from below, since the probabilities must sum to one.

  8. Fundamental theorem of Riemannian geometry - Wikipedia

    en.wikipedia.org/wiki/Fundamental_theorem_of...

    In the local formulation above, this key property of the metric was implicitly used, in the same way, via the existence of g kl. Furthermore, by the same reasoning, the Koszul formula can be used to define a vector field ∇ X Y when given X and Y, and it is routine to check that this defines a connection that is torsion-free and metric ...

  9. p-chart - Wikipedia

    en.wikipedia.org/wiki/P-chart

    The p-chart only accommodates "pass"/"fail"-type inspection as determined by one or more go-no go gauges or tests, effectively applying the specifications to the data before they are plotted on the chart. Other types of control charts display the magnitude of the quality characteristic under study, making troubleshooting possible directly from ...