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minimization problem in Chinese

Pronunciation:
How to pronounce "minimization problem""minimization problem" in a sentence

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  • 最小化問題

Examples

  • Continuation method for non - linear l1 norm minimization problem
    1模極小化問題的路徑跟蹤算法
  • Constrained minimization problem
    約束最小化問題
  • This paper presents a solution to the test time minimization problem for core - based systems
    本文針對基于芯核系統(tǒng)的測試時間最小化問題提出了一種解決方案。
  • With merit function , the origin problem can be conformed to unconstrained or constrained minimization problems
    利用merit函數(shù)的極小化變形可分為無約束和約束兩種類型。
  • It is known that the vip can be reformulated as an unconstrained minimization problem through the d - gap function
    我們知道，通過廣義d -間隙函數(shù)，可以將變分不等式問題轉(zhuǎn)化為一個無約束極小化問題。
  • When the systems is normal , the stability condition of the observer system is approximated with a minimization problem involving conditions of linear matrix inequalities
    假定其可能發(fā)生故障，設(shè)計了離散狀態(tài)觀測器，對其進行故障檢測。
  • Finally , prove that any global optimal solution of the converted concave minimization problem or reverse convex programming problem obtained by the existing algorithms is an approximate global optimal solution of the original problem
    最后，還證明了得到的凹規(guī)劃和反凸規(guī)劃的全局最優(yōu)解就是原問題的近似全局最優(yōu)解。
  • Similarly , the minimization problem is also transformed into a multiobjective problem by using the other order relations , so by doing the multiobjective problem a solution of the primitive problem can be obtained
    而對最小化問題，也可定義區(qū)間數(shù)之間的另一序關(guān)系，同樣可把原問題轉(zhuǎn)化為一個多目標問題，通過求此多目標問題得到原問題的解。
  • In this chapter , we consider the method of constrained equivalent formulation . we use the merit function based on the restrained ncp function and convert the origin problem ncp ( f ) to minimization problem which constrained on rn +
    我們在這一章里就考慮了ncp ( f )的約束極小化變形，通過限制的ncp函數(shù)來構(gòu)造ncp問題的merit函數(shù)，將原始的問題ncp ( f )轉(zhuǎn)化為(
  • In this paper , we consider identifications of physical parameters in the following parabolic initial - boundary value problems . the identification problem is formulated as a constrained minimization problem by using the output least squares approach with the h1 - regularization
    作為一個最優(yōu)控制問題，我們視溫度分布v為輸出，參數(shù)q ( x )為控制，考慮了一類最優(yōu)控制問題的逆問題。
  • More examples：  1  2

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