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differentiability中文是什么意思

  • 可辨性
  • 可微分性
  • 可微性

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  • 例句與用法
  • The example that ultimately drove home the distinction between continuity and differentiability was given by him .
    最終講明白連續(xù)性和可微性之間的區(qū)別的例子是由他給出的。
  • Fuzzy - valued functions of bounded variations and its differentiability
    模糊有界變差函數(shù)及其可導(dǎo)性
  • Henstock lemma , integrability of derivative and differentiability of integral primitive
    積分原函數(shù)的可導(dǎo)性
  • The measurability , approximate continuity and differentiability of primitives for the fuzzy - valued functions
    近似連續(xù)性及積分原函數(shù)的可導(dǎo)性
  • Abstract : a strong ilmit theorem for the weighted sum of discrete random sequences is gotten by the method of net differentiability
    文摘:利用網(wǎng)微分法,給出了離散型隨機(jī)變量序列加權(quán)和的一個(gè)極限定理。
  • Based on the " size " of the set of perturbed minimal points in the variational principle , the differentiability of lower semicontinuous functions is examined by means of approximation of the infconvolution sequence
    摘要通過函數(shù)的下卷積函數(shù)列的逼近方法,在變分原理中從擾動(dòng)最小值點(diǎn)集的“大小”入手,研究了下半連續(xù)函數(shù)的可微性。
  • Continuity , integrability and differentiability of riemann function are discussed ; especially , the non - differentiable properties on [ 0 , 1 ] are proved , and dirichlet ' s function is comparated with it
    摘要從黎曼函數(shù)的簡單特徵入手討論它的連續(xù)性、可積性、可導(dǎo)性,特別是證明了黎曼函數(shù)在區(qū)間[ 0 , 1 ]上處處不可導(dǎo),并結(jié)合狄利克雷函數(shù)加以引申和推廣。
  • It is based on mpf , which treats inequality constraints with a modified penalty term . the mpf method alternatively minimizes the mpf and updates the lagrange multipliers . the mpf method avoids the in - differentiability of the max { x , 0 }
    修改的罰函數(shù)法所用的罰函數(shù)消除了經(jīng)典罰函數(shù)的主要缺點(diǎn),修改的罰函數(shù)存在解,且在解的鄰域內(nèi)保持目標(biāo)函數(shù)和約束函數(shù)的光滑性。
  • In view of problems on solving parabolic equation with non - differentiability , parameter identification on the problems is discussed in this paper by non - overlapping domain decomposition method . main theoretic results are as following . 1
    本文針對一類具有極大不可微性的拋物型方程定解問題,采用非重疊型區(qū)域分解算法,應(yīng)用分布參數(shù)系統(tǒng)的參數(shù)辨識(shí)與最優(yōu)控制理論,研究了該問題的參數(shù)辨識(shí)問題,主要的理論結(jié)果如下: 1
  • Aimed at multiple - limit , multiple - object , non - linear , discrete of voltage / var optimization and control , on account of whole evolution of evolutionary programming , no demand for differentiability of optimal function , and random search , it can obtain global optimum with mayor probability , this paper solve optimal function with evolutionary programming
    在對優(yōu)化的具體實(shí)現(xiàn)過程中,由于進(jìn)化規(guī)劃著眼于整個(gè)整體的進(jìn)化,對于所求解的優(yōu)化問題無可微性要求,采用隨機(jī)搜索技術(shù),能以較大的概率求解全局最優(yōu)解的特點(diǎn),針對電壓無功控制模型是一個(gè)多限制、多目標(biāo)、非線性、離散的優(yōu)化控制問題,因此應(yīng)用進(jìn)化規(guī)劃算法進(jìn)行模型的求解。
  • 更多例句:  1  2
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