Bounds are obtained on the minimum for convex and strongly convex functions on convex sets XA nk and XB nk . A theorem on the sufficient condition for a minimum of a convex function on A nk is proved.doi:10.1007/BF01069996S. V. Yakovlev...
Convexification of nonconvex functions and applications to minimum and maximum principles for nonconvex sets[J].Computers & Mathematics with Applications,1936,(07):27-36.WU Cong-xin,CHENG Li-xin,HA Ming-hu,Lee E S.Convexification of nonconvex functions andapplications to minimum and maximum ...
athe film is really touching 影片真正地接触[translate] aseaway blvd everett,wa usa 海上航道大道everett, wa美国[translate] aa positive constant multiple of a convex function and a sum of two convex functions are convex. 一个凸函数的一个正面恒定的倍数和二个凸函数的一个总和凸面。[translate] ...
isF-subharmonic. This generalises the classical statement that the marginal function of a convex function is again convex. We also prove a complex version of this result that generalises the Kiselman minimum principle for the marginal function of a plurisubharmonic function. Acknowledgements The autho...
1.A maximum or minimum value of a function.极大值,极小值函数的最大值或最小值 2.The numbe Is too small!(at least 2)数值太小!(最小值为2) 3.Please enter a valid Maximum and Minimum value. The Mimimum must be less than the Maximum.请输入有效的“最大值”和“最小值”。“最小值...
The convex hull of these points is then computed using my Convex Hull function, and finally the minimum enclosing circle is ascertained by my Minimum Enclosing Circle function. More information about these functions and the various algorithms used can be found on their respective program pages....
Given a continuous random variable X with a cumulative probability distribution 𝑃𝑋(𝑥)PX(x) and a corresponding probability density function 𝑝(𝑥)p(x), the distribution is said to be unimodal if for some 𝑥=𝑎x=a such that 𝑃𝑋(𝑥)PX(x) is convex for 𝑥<𝑎x𝑎x...
The class of quasiconvex functions are not closed under summation, even summing a quasiconvex function with a linear function might not be quasiconvex as shown inthis post. So the Lagrangian function of your problem can have many local minimal and so the KKT conditions can have many solutions...
The classical optimal trading problem is the closure of a position in an asset over a time interval; the trader maximizes an expected utility under the constraint that the position be fully closed by terminal time. Since the asset price is stochastic, the liquidation constraint may be too restri...
The uniqueness of an optimal point of MTFA is proved and necessary and sufficient conditions for a point x to be optimal are established. Finally, some results about the connection between MTFA and the classical minimum rank factor analysis will be presented.关键词: factor analysis - covariance...