Search results
Results from the WOW.Com Content Network
Schematic of quantities for capstan equation An example of holding capstans and a powered capstan used to raise sails on a tall ship. The capstan equation [ 1 ] or belt friction equation , also known as Euler–Eytelwein formula [ 2 ] (after Leonhard Euler and Johann Albert Eytelwein ), [ 3 ] relates the hold-force to the load-force if a ...
In probability theory, a product-form solution is a particularly efficient form of solution for determining some metric of a system with distinct sub-components, where the metric for the collection of components can be written as a product of the metric across the different components.
In an unbounded plane where the wind distribution is given by a vector field as a function of position and time, a ship moves with constant velocity relative to the surrounding air mass. How must the ship be steered in order to come from a starting point to a given goal in the shortest time? Ernst Zermelo formulated and solved the general problem
Hull speed can be calculated by the following formula: where is the length of the waterline in feet, and is the hull speed of the vessel in knots. If the length of waterline is given in metres and desired hull speed in knots, the coefficient is 2.43 kn·m −½.
For example, passenger ferry of a given size would require substantially more work to build than a bulk carrier of the same size due to the differing design requirements, internal structure, and required level of detail, but simply comparing the gross tonnage or deadweight of each ship would incorrectly show that they took the same amount of ...
If the reduced form model is estimated using empirical data, obtaining estimated values for the coefficients , some of the structural parameters can be recovered: By combining the two reduced form equations to eliminate Z, the structural coefficients of the supply side model (and ) can be derived:
The delta method is often used in a form that is essentially identical to that above, but without the assumption that X n or B is asymptotically normal. Often the only context is that the variance is "small". The results then just give approximations to the means and covariances of the transformed quantities.
In probability theory, the central limit theorem (CLT) states that, under appropriate conditions, the distribution of a normalized version of the sample mean converges to a standard normal distribution. This holds even if the original variables themselves are not normally distributed. There are several versions of the CLT, each applying in the ...