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  2. Triple point - Wikipedia

    en.wikipedia.org/wiki/Triple_point

    The term "triple point" was coined in 1873 by James Thomson, brother of Lord Kelvin. [2] The triple points of several substances are used to define points in the ITS-90 international temperature scale, ranging from the triple point of hydrogen (13.8033 K) to the triple point of water (273.16 K, 0.01 °C, or 32.018 °F).

  3. Distance from a point to a line - Wikipedia

    en.wikipedia.org/wiki/Distance_from_a_point_to_a...

    In the case of a line in the plane given by the equation ax + by + c = 0, where a, b and c are real constants with a and b not both zero, the distance from the line to a point (x 0,y 0) is [1] [2]: p.14

  4. Point estimation - Wikipedia

    en.wikipedia.org/wiki/Point_estimation

    In statistics, point estimation involves the use of sample data to calculate a single value (known as a point estimate since it identifies a point in some parameter space) which is to serve as a "best guess" or "best estimate" of an unknown population parameter (for example, the population mean).

  5. Brachistochrone curve - Wikipedia

    en.wikipedia.org/wiki/Brachistochrone_curve

    The curve of fastest descent is not a straight or polygonal line (blue) but a cycloid (red).. In physics and mathematics, a brachistochrone curve (from Ancient Greek βράχιστος χρόνος (brákhistos khrónos) 'shortest time'), [1] or curve of fastest descent, is the one lying on the plane between a point A and a lower point B, where B is not directly below A, on which a bead slides ...

  6. Vanishing point - Wikipedia

    en.wikipedia.org/wiki/Vanishing_point

    3. Let A, B, and C be three mutually orthogonal straight lines in space and v A ≡ (x A, y A, f), v B ≡ (x B, y B, f), v C ≡ (x C, y C, f) be the three corresponding vanishing points respectively. The orthocenter of the triangle with vertices in the three vanishing points is the intersection of the optical axis and the image plane.

  7. Three-point estimation - Wikipedia

    en.wikipedia.org/wiki/Three-point_estimation

    E = (a + 4m + b) / 6 SD = (b − a) / 6. E is a weighted average which takes into account both the most optimistic and most pessimistic estimates provided. SD measures the variability or uncertainty in the estimate. In Program Evaluation and Review Techniques the three values are used to fit a PERT distribution for Monte Carlo simulations.

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