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Was (wer) ist stable linearization - definition
TRANSFORMATION OF THE LOGISTIC GROWTH CURVE IN A LINEAR MATHEMATICAL RELATIONSHIP
Hubbert Linearization
![Norway]]'s oil production](https://commons.wikimedia.org/wiki/Special:FilePath/HubbertLin_Norway.svg?width=200 "Norway]]'s oil production")
![Norway]]'s oil production](https://commons.wikimedia.org/wiki/Special:FilePath/Hubbert_Norway.svg?width=200 "Norway]]'s oil production")
Stable nuclide
NUCLEUS OF THIS ISOTOPE DOES NOT UNDERGO RADIOACTIVE DECAY
Band of stability; Band of Stability; Stable nuclei; Stable atom; Stable nuclides; Observationally Stable; Observationally stable isotope; Stable isotope; Observationally stable
Stable nuclides are nuclides that are not radioactive and so (unlike radionuclides) do not spontaneously undergo radioactive decay. When such nuclides are referred to in relation to specific elements, they are usually termed stable isotopes.
Stable map
User:TakuyaMurata/Space of stable maps; Space of stable maps
In mathematics, specifically in symplectic topology and algebraic geometry, one can construct the moduli space of stable maps, satisfying specified conditions, from Riemann surfaces into a given symplectic manifold. This moduli space is the essence of the Gromov–Witten invariants, which find application in enumerative geometry and type IIA string theory.
Stable marriage problem
MATHEMATICAL PROBLEM OF FINDING A STABLE MATCHING BETWEEN TWO EQUALLY SIZED SETS OF ELEMENTS GIVEN AN ORDERING OF PREFERENCES FOR EACH ELEMENT
Stable Marriage Problem; Stable matching; Stable marraige problem; Stable marriage; Stable matching problem
In mathematics, economics, and computer science, the stable marriage problem (also stable matching problem or SMP) is the problem of finding a stable matching between two equally sized sets of elements given an ordering of preferences for each element. A matching is a bijection from the elements of one set to the elements of the other set.
Wikipedia
Hubbert linearization
The Hubbert linearization is a way to plot production data to estimate two important parameters of a Hubbert curve, the approximated production rate of a nonrenewable resource following a logistic distribution:
- the logistic growth rate and
- the quantity of the resource that will be ultimately recovered.
The linearization technique was introduced by Marion King Hubbert in his 1982 review paper. The Hubbert curve is the first derivative of a logistic function, which has been used for modeling the depletion of crude oil in particular, the depletion of finite mineral resources in general and also population growth patterns.
