Search results
Results from the WOW.Com Content Network
The rational planning model is a model of the planning process involving a number of rational actions or steps. Taylor (1998) outlines five steps, as follows: [ 1 ] Definition of the problems and/or goals;
To find the depth of a rainfall of duration D and return period T at a given location in the UK, the following should be carried out: Find M5-60 minutes rainfall depth and "r" for the location using FSR maps. Divide this rainfall depth by "r" to get the M5-2 days depth. Multiply the M5-2 days depth by factor Z1 to find the M5-D depth.
Marxist computer programmer Paul Cockshott argues that economic calculation is possible within a socialist state as long as computational devices are used. In "Towards a New Socialism's "Information and Economics: A Critique of Hayek" and "Against Mises", he argues that central planning is simplified by the use of computers in calculating the component of price not accounted for by Marxian ...
In numerical analysis, the Bulirsch–Stoer algorithm is a method for the numerical solution of ordinary differential equations which combines three powerful ideas: Richardson extrapolation, the use of rational function extrapolation in Richardson-type applications, and the modified midpoint method, [1] to obtain numerical solutions to ordinary ...
For example, a quadratic for the numerator and a cubic for the denominator is identified as a quadratic/cubic rational function. The rational function model is a generalization of the polynomial model: rational function models contain polynomial models as a subset (i.e., the case when the denominator is a constant).
Formally, a rational map: between two varieties is an equivalence class of pairs (,) in which is a morphism of varieties from a non-empty open set to , and two such pairs (,) and (′ ′, ′) are considered equivalent if and ′ ′ coincide on the intersection ′ (this is, in particular, vacuously true if the intersection is empty, but since is assumed irreducible, this is impossible).
The Jenks optimization method, also called the Jenks natural breaks classification method, is a data clustering method designed to determine the best arrangement of values into different classes. This is done by seeking to minimize each class's average deviation from the class mean, while maximizing each class's deviation from the means of the ...
This one-point second-order method is known to show a locally quadratic convergence if the root of the equation is simple. SRA strictly implies this one-point second-order interpolation by a simple rational function. We can notice that even third order method is a variation of Newton's method. We see the Newton's steps are multiplied by some ...