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Parametric design is a design method in which features, such as building elements and engineering components, are shaped based on algorithmic processes rather than direct manipulation. In this approach, parameters and rules establish the relationship between design intent and design response.
Parametricism has its origin in parametric design, which is based on the constraints in a parametric equation. [2] Parametricism relies on programs, algorithms, and computers to manipulate equations for design purposes. Aspects of parametricism have been used in urban design, architectural design, interior design and furniture design ...
Parametric feature based modeler, a modeler using features defined to be parametric shapes associated with attributes; Parametric determinism, a Marxist interpretation of the course of history; Parametric equalizer, a multi-band variable equalizer; Parametric array, a nonlinear transduction mechanism; Parametric design, a design process
Parametric thinking in the design process context of best practice as defined by designer/technologist Chris Swartout of M Moser Associates is "a pedagogic approach that combines design and generative solution delivery through reliance on a multidisciplinary team's knowledge expertise at the outset of the project. This leads to increased ...
Parametric statistical methods are used to compute the 2.33 value above, given 99 independent observations from the same normal distribution. A non-parametric estimate of the same thing is the maximum of the first 99 scores. We don't need to assume anything about the distribution of test scores to reason that before we gave the test it was ...
Another important use of parametric equations is in the field of computer-aided design (CAD). [8] For example, consider the following three representations, all of which are commonly used to describe planar curves .
Parametric modeling is very powerful, but requires more skill in model creation. A complicated model for an injection molded part may have a thousand features, and modifying an early feature may cause later features to fail. Skillfully created parametric models are easier to maintain and modify. Parametric modeling also lends itself to data re-use.
Parametric models are contrasted with the semi-parametric, semi-nonparametric, and non-parametric models, all of which consist of an infinite set of "parameters" for description. The distinction between these four classes is as follows: [citation needed] in a "parametric" model all the parameters are in finite-dimensional parameter spaces;