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dense subset相关的网络例句

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与 dense subset 相关的网络例句 [注:此内容来源于网络,仅供参考]

Different from the former study,the value region of projective operator in the neural network which they study was a general closed convex subset of n demensional Euclidean space and it wasn't a compact convex set in general,that is,the value region of projective operator was probably unbounded.

与以前研究投影算子的值域一般是n维欧氏空间中的紧凸子集不同,而是n维欧氏空间中未必有界的闭凸子集,同时目标函数也是一般的连续可微函数,未必为凸函数。

Different from the former study, the value region of projective operator in the neural network which they study was a general dosed convex subset of n demensional Euclidean space and it wasn' t a compact convex set in general, that is, the value region of projective operator was probably unbounded.

与以前研究投影算子的值域一般是n维欧氏空间中的紧凸子集不同,而是n维欧氏空间中未必有界的闭凸子集,同时目标函数也是一般的连续可微函数,未必为凸函数。

Let X be a reflexive Banach space with both X and X locally uniformly convex. D is a bounded, open, convex subset of X. T∶D→X is a pseudo-monotone operator; C∶D→X is a compact or strongly continuous operator.

何震设X是自反Banach空间且X和X均为局部一致凸空间,D是X的开、有界、凸子集, T∶D→X是伪单调算子(pseudo-monotone), C∶D→X是紧算子或全连续算子。

Xu and Noor had proved the theorem on convergence of three-step iterations for asymptotically nonexpansive mapping on nonempty closed, bounded, and convex subset of uniformly convex Banach space.

王娴 ,何震Xu和Norr已经证明了建立在一致凸Banach空间的一个非空有界闭凸子集上的渐进非扩张映射的三步迭代的收敛定理问题。

A Lipschitz strictly pseudocontractive map from a nonempty closed convex subset of a Hilbert space into itself was showed to have fixed points, Ishikawa and Mann iterative sequences with errors of a Lipschitz strictly pseudocontractive map was introduced and the iteration processes strongly converges to a fixed point was proved.

证明了在Hilbert空间中的非空闭凸集上Lipschitz严格伪压缩映象有不动点,介绍了Lips-chitz严格伪压缩映像下的的具误差的 Ishikawa和Mann迭代序列并证明了其强收敛性于不动点,其结果把非扩张映像推广到Lipschitz严格伪压缩映象上,改进了一些相关结果。

H-2: The measurable set-valued mapping F : X - CC is -bounded (n+1)-lower semicontinuos where X is a closed, bounded and convex subset of a n-dimension Bana...

的。 H-3:X是1-维赋范线性空间中的有界闭凸子集,可测集值映射F:X→C_c是2-下半连续的(2-l.s.c。)。

In chapter three, we prove that there exist solutions to the Ky Fan variation inequality, as the set-valued mappings are defined on spheres in infinite dimensional Banach spaces or odd dimensional Euclidean spaces, following from these theorems, we obtain some fixed point theorems for set-valued mappings defined on a sphere. When G is an approximate compact convex subset of E, or G is a almost quasi-convex set-valued mapping, we prove that there exist solutions to and type generalized Ky Fan variation inequality, following these theorems, we prove several best approximation theorems and coincidence theorems involving two set-valued mappings and two different spaces. In chapter four, we first present a new Simplicial algorithm for computing the Leray - Schauder fixed points, the algorithm can solve the set-valued nonlinear complementarily problem. We give a condition to guarantee the computation proceeding in a bounded region. We present integer-labeling algorithms for computing fixed points of some set-valued mappings, the best approximation points and solutions to a kind of set-valued variation inequalities.

第四章给出了计算定义在非凸集上的非自映射的Leray-Schauder不动点的算法,而现有的不动点算法都是计算凸集的上半连续集值自映射的不动点;给出了保证计算有界的一个充分条件,我们的条件大大弱于Mdrrill条件,我们的算法也可用来计算Eaves不动点;给出了集值非线性互补问题存在解的一个充分条件,此时可利用Leray-Schauder不动点算法来求解;向量标号算法以往是计算集值映射不动点的唯一有效算法,我们给出用整数标号算法计算一类集值映射的Kakutani 不动点的算法;定义在紧凸集上的连续映射不一定有不动点,但一定有最近点,最近点是不动点概念的推广,我们给出了计算最近点的算法;集值映射变分不等式尚无有效的求解算法,我们给出求解一类集值映射变分不等式的算法。

Let C be a nonempty closed convex subset of a Hilbert space H, P:H→C be a nearest point projection, and T:C→H be a nonexpansive mapping satisfying the weakly inwardness condition, and :C→C be a fixed contractive mapping. Let the implicit iterative sequences {x},{y} and the explicit iterative sequences {x},{y}.

设C为实Hilbert空间H的非空闭凸子集,P:H→C为最近点投影映射,T:C→H为非扩张映象,且T满足弱内向条件,:C→C为压缩映象。t∈(0,l),定义了2种隐式粘性迭代序列{x},{y}和2种显式粘性迭代序列{x},{y},证明了T有不动点当且仅当序列{x},{y},{x},{y}有界。

The CPI-W's population represents about 32 percent of the total U.S. population and is a subset, or part, of the CPI-U's population.4. Is the CPI a cost-of-living index?

这样一种经济环境令人担忧,因此,如何理解CPI指数便成为一个十分重要的问题。

Uniqueness could be decided by the number and magnitudes of the peaks in the cross correlation function of the original and subset functions.

唯一性可以通过原始图和子图相关函数峰值的幅值和个数决定。

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