constrained minimization problem 中文意思是什麼
constrained minimization problem
解釋
約束最小化問題- constrained : adj. 被強迫的；受壓制的；不自然的，勉強的。 a constrained manner 不自然的[局促的]樣子。 a constrained smile （勉強做作的）苦笑。adv. -ly
- minimization : 化為極小值
- problem : n. 1. 問題，課題；疑難問題；令人困惑的情況。2. 【數、物】習題；作圖題。3. （象棋的）布局問題。adj. 1. 成問題的；難處理的。2. 關于社會問題的。
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Abstract firstly, convert a programming problem with multiple constraints into a programming problem with single constraint, secondly, several convexification and concavification transformations for the constrained problem with strictly monotone constraint functions are proposed according to the transformed problem with single constraint, then this constrained programming problem can be converted into a concave minimization or a reverse convex programming problem
摘要首先將一個具有多個約束的規劃問題轉化為一個只有一個約束的規劃問題，然後通過利用這個單約束的規劃問題，對原來的多約束規劃問題提出了一些凸化、凹化的方法，這樣這些多約束的規劃問題可以被轉化為一些凹規劃、反凸規劃同題。 -
Constrained minimization problem
約束最小化問題 -
By intro - ducing a penalty function as the following, for every e > 0, we construct a sequence of unconstrained minimization problems to approximate the constrained minimization problem. the solutions of such a sequence of unconstrained minimization problems all exist, and they converge to the solution of the constrained minimization problem in a certain sense
這列無約束極小化問題（ p _ ）的解都是存在的，並且在某種意義下收斂至原始約束極小化問題（ p ）的解，不僅如此，它們的性能指標也收斂至原始問題（ p ）解的性能指標。 -
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函數來構造ncp問題的merit函數，將原始的問題ncp （ f ）轉化為（ -
With merit function, the origin problem can be conformed to unconstrained or constrained minimization problems
利用merit函數的極小化變形可分為無約束和約束兩種類型。 -
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
作為一個最優控制問題，我們視溫度分佈v為輸出，參數q （ x ）為控制，考慮了一類最優控制問題的逆問題。
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