strongly convex function 读音:美英 strongly convex function基本解释 强凸函数 分词解释 strongly强烈地 convex凸的,凸面的 function功能,作用 strongly convex function是什么意思 strongly convex function怎么读 strongly convex function在线翻译 stro
Functional equationIterationStrongly convex functionFixed pointSchauder's fixed point theorem and the Banach contraction principle are used to study the polynomial-like iterative functional equation. We give sufficient conditions for the existence, uniqueness, and stability of the strongly convex and ...
We study the notions of strongly convex function as well as <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mi>F</mml:mi></mml:mrow></mml:math>-strongly convex function. We present here some new integral inequalities of Jensen’s type for these...
1) almost strongly convex function 几乎强凸函数1. Their stabilities are investigated and three important results are obtained: a δ-strongly convex function approaches a strongly convex function uniformly; an almost δ-strongly convex function approaches a strongly convex function almost everywhere ...
Characterization of Inner Product Spaces by Strongly Schur-Convex FunctionsInner product spaceSchur-convexstrongly Schur-convexWright-convexstrongly Wright-convexInvolving the notion of strongly Schur-convex functions we give a new characterization of inner product spaces among norm spaces. We also present ...
We focus on the three-block case of such a model whose objective function is the sum of three functions, and discuss the convergence of the direct extension of ADMM. We show that when one function in the objective is strongly convex, the penalty parameter and the operators in the linear ...
Geodesic E-convexityIn this article, a new class of function called geodesic semi strongly E-convex functions and generalized geodesic semi strongly E-convex functions are introduced. Also, some of their properties are obtained.doi:10.1080/09720502.2016.1220097Kili?man, Adem...
We consider the problem of minimizing a function, which is the sum of alinear function and a composition of a strongly convex function with a lineartransformation, over a compact polyhedral set. Jaggi and Lacoste-Julien [14]showed that the conditional gradient method with away steps employed on...
strongly quasi convex function 专业释义 <数学>强拟凸函数 词条提问
(2016) tried to improve the regret bound of DOGD for strongly convex functions, but did not provide a rigorous analysis. Recently, Li et al. (2019) proposed DBGD to handle the bandit setting. In each round t, DBGD queries the function ft(x) at n+1 points, and repeatedly updates ...