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In linguistics, ellipsis (from Ancient Greek ἔλλειψις (élleipsis) 'omission') or an elliptical construction is the omission from a clause of one or more words that are nevertheless understood in the context of the remaining elements. There are numerous distinct types of ellipsis acknowledged in theoretical syntax.
In probability and statistics, an elliptical distribution is any member of a broad family of probability distributions that generalize the multivariate normal distribution. Intuitively, in the simplified two and three dimensional case, the joint distribution forms an ellipse and an ellipsoid , respectively, in iso-density plots.
CEP is not a good measure of accuracy when this distribution behavior is not met. Munitions may also have larger standard deviation of range errors than the standard deviation of azimuth (deflection) errors, resulting in an elliptical confidence region. Munition samples may not be exactly on target, that is, the mean vector will not be (0,0).
The modularity theorem (formerly called the Taniyama–Shimura conjecture, Taniyama–Shimura–Weil conjecture or modularity conjecture for elliptic curves) states that elliptic curves over the field of rational numbers are related to modular forms in a particular way.
The product of any elliptic curve with any curve is an elliptic surface (with no singular fibers). All surfaces of Kodaira dimension 1 are elliptic surfaces.; Every complex Enriques surface is elliptic, and has an elliptic fibration over the projective line.
The Bohr–Sommerfeld model (also known as the Sommerfeld model or Bohr–Sommerfeld theory) was an extension of the Bohr model to allow elliptical orbits of electrons around an atomic nucleus. Bohr–Sommerfeld theory is named after Danish physicist Niels Bohr and German physicist Arnold Sommerfeld .
Fig. 1: The graph of the hyperelliptic curve : = where () = + + = (+) (+) ().. In algebraic geometry, a hyperelliptic curve is an algebraic curve of genus g > 1, given by an equation of the form + = where f(x) is a polynomial of degree n = 2g + 1 > 4 or n = 2g + 2 > 4 with n distinct roots, and h(x) is a polynomial of degree < g + 2 (if the characteristic of the ground field is not 2, one can ...
Optimal designs offer three advantages over sub-optimal experimental designs: [5]. Optimal designs reduce the costs of experimentation by allowing statistical models to be estimated with fewer experimental runs.