currency basket basis - significado y definición. Qué es currency basket basis
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Qué (quién) es currency basket basis - definición

ELEMENT OF A BASIS FOR A FUNCTION SPACE
Basis Function; Basis functions; Blending function; Basis Functions; Fourier basis

Standard basis         
BASIS OF EUCLIDEAN SPACE CONSISTING OF ONE-HOT VECTORS
Standard bases; Standard basis vector; Kronecker basis; Standard unit vector
In mathematics, the standard basis (also called natural basis or canonical basis) of a coordinate vector space (such as \mathbb{R}^n or \mathbb{C}^n) is the set of vectors whose components are all zero, except one that equals 1. For example, in the case of the Euclidean plane \mathbb{R}^2 formed by the pairs of real numbers, the standard basis is formed by the vectors
Basis (universal algebra)         
STRUCTURE INSIDE OF SOME (UNIVERSAL) ALGEBRAS, WHICH ARE CALLED FREE ALGEBRAS. IT GENERATES ALL ALGEBRA ELEMENTS FROM ITS OWN ELEMENTS BY THE ALGEBRA OPERATIONS IN AN INDEPENDENT MANNER
Basis (Universal Algebra)
In universal algebra, a basis is a structure inside of some (universal) algebras, which are called free algebras. It generates all algebra elements from its own elements by the algebra operations in an independent manner.
Hard Currency         
GLOBALLY TRADED CURRENCY THAT SERVES AS A RELIABLE AND STABLE STORE OF VALUE
Hard Currency; Hard currencies; Soft currency; Sound money; Safe-haven currency; Safe haven currency; Haven currency; Strong currency; Weak currency
The currency of a nation which may be exchanged for that of another nation without restriction. Sometimes referred to as convertible currency. Hard currency countries typically have sizeable exchange reserves and surpluses in their balance of payments. See: Soft Currency

Wikipedia

Basis function

In mathematics, a basis function is an element of a particular basis for a function space. Every function in the function space can be represented as a linear combination of basis functions, just as every vector in a vector space can be represented as a linear combination of basis vectors.

In numerical analysis and approximation theory, basis functions are also called blending functions, because of their use in interpolation: In this application, a mixture of the basis functions provides an interpolating function (with the "blend" depending on the evaluation of the basis functions at the data points).