non-differentiable造句
例句與造句
- Give a set of mean - value theorem in open - interval with non - differentiable points
摘要給出了開區(qū)間內(nèi)有不可導(dǎo)點(diǎn)的微分中值定理。 - Therefor , this chapter puts forward the solution of non - differentiable equations
為此，本章就解決不可導(dǎo)問題提出了可行的解決方法。 - Higher order f - convexity and higher order symmetric duality in non - differentiable mathematical programming
一個(gè)不可微數(shù)學(xué)規(guī)劃中的高階對(duì)偶模型 - But these methods are designed to solve differen - tiable problems , they will be no use when meeting with non - differentiable equations
但是，這些方法都是為求解可導(dǎo)方程設(shè)計(jì)的，遇到不可導(dǎo)方程就束手無策了。 - Chapter one : this chapter discuss mainly about the astringency of several deformed newton ' s iterative methods and their application in solution of non - differentiable problems
第一章：主要討論了幾種變形newton迭代的收斂性問題，以及它們?cè)谇蠼獠豢蓪?dǎo)方程中的應(yīng)用。 - It's difficult to find non-differentiable in a sentence. 用non-differentiable造句挺難的
- The object functions for synthesis of array antennas usually have the characteristics of multi - parameters , non - differentiable even discontinuities . the optimization of pattern function is non - linear problem
陣列天線的綜合問題大多呈現(xiàn)多參數(shù)、不可微、甚至不連續(xù)的特性,其方向圖參數(shù)的最優(yōu)化是一種非線性優(yōu)化問題。 - 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(jiǎn)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 can speed the local rate of convergence and improve the accuracy of solution , and to solve nonlinear constraint optimization problems , coa was combined with exact non - differentiable penalty function
它利用混沌變量的特定內(nèi)在隨機(jī)性和遍歷性跳出局部最優(yōu)點(diǎn)，并在局部搜索空間經(jīng)過線性搜索提高解的搜索速度和精度，通過結(jié)合精確不可微罰函數(shù)以用于求解非線性約束優(yōu)化問題。 - As a powerful global optimization approach , genetic algorithms ( ga ) can solve a variety of optimization problems in which the objective function is discontinuous , non - differentiable , or highly non - linear , to produce high convergence speed and vast search space
摘要遺傳算法作為一種全局優(yōu)化算法，可以用來解決在目標(biāo)函數(shù)不連續(xù)、不可能、非線性等情況下的復(fù)雜問題，且具有較高的收斂效率和廣闊的搜索空間。 - Furthermore , when replacing the entropy function by a general separate multiplier function , we develop a new regularization approach , referred to as lagrangian regularization approach . this approach does not only provide a unified smoothing technique for the non - differentiable m ( x ) and but also offers a unified framework for constructing penalty functions , whereby building a bridge between the penalty functions and the classical lagrangian
該方法不僅提供了統(tǒng)一光滑不可微函數(shù)m ( x )和( ? | r _ - ~ m )的辦法，而且還給出了一種構(gòu)造罰函數(shù)的統(tǒng)一框架，由此將罰函數(shù)與經(jīng)典拉格朗日函數(shù)從對(duì)偶空間的角度聯(lián)系在一起。 - To circumvent the non - differentiable difficulty caused by the positive homogeneously function that is involved in an equivalent unconstrained formulation for general inequality constrained optimization problems , we turn to the classical lagrangian function and redefine m ( x ) by a conic optimization problem with the lagrangian as the objective function
為了克服不可微正齊次函數(shù)( ? | r _ - ~ m )給約束優(yōu)化問題的等價(jià)無約束形式求解帶來的困難，我們將其目標(biāo)函數(shù)m ( x )重新用一個(gè)以經(jīng)典拉格朗日函數(shù)為目標(biāo)的錐優(yōu)化問題來表示。