-
1 заданная выпуклая функция
Mathematics: given convex functionУниверсальный русско-английский словарь > заданная выпуклая функция
-
2 Отсутствие артиклей в выражениях, используемых после with, without, in, as и at для уточнения свойств основного существительного
We shall be concerned with real $n$-spaceThis program package can be installed without much difficultyThen $D$ becomes a locally convex space with dual space $D'$The set of points with distance 1 from $K$The set of all functions with compact supportThe compact set of all points at distance 1 from $K$An algebra with unit $e$An operator with domain $H^2$A solution with vanishing Cauchy dataA cube with sides parallel to the axes of coordinatesA domain with smooth boundaryAn equation with constant coefficientsA function with compact supportRandom variables with zero expectation (zero mean)Any random variable can be taken as coordinate variable on $X$Here $t$ is interpreted as area and volumeWe show that $G$ is a group with composition as group operationIt is assumed that the matrix $A$ is given in diagonal (triangular, upper (lower) triangular, Hessenberg) formThen $A$ is deformed into $B$ by pushing it at constant speed along the integral curves of $X$$G$ is now viewed as a set, without group structureThe (a) function in coordinate representationThe idea of a vector in real $n$-dimensional spaceThe point $x$ with coordinates $(1,1)$A solution in explicit (implicit, coordinate) formОднако: let $B$ be a Banach space with a weak sympletic form $w$Однако: (the) two random variables with a common distributionОднако: this representation of $A$ is well defined as the integral of $f$ over the domain $D$Then the matrix $A$ has the simple eigenvalue $lambda=1$ with eigenvectors $x=(1,0)$ and $y=(1,-100)$Русско-английский словарь по прикладной математике и механике > Отсутствие артиклей в выражениях, используемых после with, without, in, as и at для уточнения свойств основного существительного
-
3 несклонность к риску
(Нерасположенность к риску.)проявлять несклонность к риску (Характеризоваться несклонностью или нерасположенностью к риску.) — exhibit risk aversion
Принимающее решение лицо несклонно к риску (или проявляет несклонность к риску), если для любой лотереи F(.) вырожденная лотерея, которая наверняка дает эту сумму, по меньшей мере столь же надёжна, как и лотерея F(.). — A decision maker is a risk averter (or exhibits risk aversion) if for any lottery F(.), the degenerate lottery that yields this amount with certainty is at least as good as the lottery F(.).
В этой более общей ситуации концепция несклонности к риску, приведенная в определении 6, является вполне определенной. — In this more general setting, the concept of risk aversion given in Definition 6 is perfectly well defined.
Более того, если существует функция полезности Бернулли u: RL+ → R, то несклонность к риску остается эквивалентной вогнутости u((). — Furthermore, if there is a Bernoulli utility function u: RL+ → R, then risk aversion is still equivalent to the concavity of u(().
Отметим, в частности, что несклонность к риску приводит к выпуклой карте безразличия для портфелей. — Observe, in particular, how risk aversion leads to a convex indifference map for portfolios.
несклонность к риску, абсолютная убывающая — decreasing absolute risk aversion
несклонность к риску, бесконечная — infinite risk aversion
несклонность к риску, относительная невозрастающая — nonincreasing relative risk aversion
несклонность к риску, относительная постоянная — constant relative risk aversion
несклонность к риску, относительная убывающая — decreasing relative risk aversion
Russian-English Dictionary "Microeconomics" > несклонность к риску
См. также в других словарях:
Convex optimization — Convex minimization, a subfield of optimization, studies the problem of minimizing convex functions over convex sets. Given a real vector space X together with a convex, real valued function defined on a convex subset of X, the problem is to find … Wikipedia
Convex conjugate — In mathematics, convex conjugation is a generalization of the Legendre transformation. It is also known as Legendre–Fenchel transformation or Fenchel transformation (after Adrien Marie Legendre and Werner Fenchel). Contents 1 Definition 2… … Wikipedia
Convex set — A convex set … Wikipedia
Convex preferences — In economics, convex preferences refer to a property of an individual s ordering of various outcomes which roughly corresponds to the idea that averages are better than the extremes . The concept roughly corresponds to the law of diminishing… … Wikipedia
Convex combination — Given three points x1,x2,x3 in a plane as shown in the figure, the point P is a convex combination of the three points, while Q is not. (Q is however an affine combination of the three poin … Wikipedia
Convex cone — In linear algebra, a convex cone is a subset of a vector space over an ordered field that is closed under linear combinations with positive coefficients. A convex cone (light blue). Inside of it, the light red convex cone consists of all points… … Wikipedia
Function (mathematics) — f(x) redirects here. For the band, see f(x) (band). Graph of example function, In mathematics, a function associates one quantity, the a … Wikipedia
Convex hull algorithms — Algorithms that construct convex hulls of various objects have a broad range of applications in mathematics and computer science, see Convex hull applications . In computational geometry, numerous algorithms are proposed for computing the convex… … Wikipedia
Subharmonic function — In mathematics, subharmonic and superharmonic functions are important classes of functions used extensively in partial differential equations, complex analysis and potential theory. Intuitively, subharmonic functions are related to convex… … Wikipedia
Characteristic function (convex analysis) — In the field of mathematics known as convex analysis, the characteristic function of a set is a convex function that indicates the membership (or non membership) of a given element in that set. It is similar to the usual indicator function, and… … Wikipedia
Polyconvex function — In mathematics, the notion of polyconvexity is a generalization of the notion of convexity for functions defined on spaces of matrices. Let M m times; n ( K ) denote the space of all m times; n matrices over the field K , which may be either the… … Wikipedia
