| 1. | In this paper , the convergence theorems of the adjustable entropy function method are studied
摘要对调节熵函数法的收敛性作了理论分析。 |
| 2. | Kullback ' s cross - entropy function is tried to smooth the minimal ncp - function and a non - interior continuation method is constructed for lcps
本章尝试用叉熵函数来光滑化极小化ncp函数。 |
| 3. | For focus measures , frequency spectrum functions , gradient functions and entropy function are analyzed in detail
其次，本文从频谱函数、梯度函数、熵函数等方面详细分析了对焦深度法中常用的对焦评价函数。 |
| 4. | Firstly , a nonlinear programming problem with multiple constraints can be converted into a programming problem with single constraint via maximum entropy function
先引入极大熵函数，将多个约束的非线性规划问题，转化为只含一个约束的规划问题。 |
| 5. | The long - time decay behavior of solutions of one dimensional 4th - order degenerate parabolic equation is studied by using the entropy function and energy estimate method
摘要利用熵函数并结合能量估计，研究了一维四阶退化抛物方程解随时间衰减的行为。 |
| 6. | Shannon entropy function is used to smoothing it . a non - interior predictor - corrector continuation method is built for a class of mixed complementarity problems
基于非线性互补问题的一个等价不动点格式，第五章分别用shannon熵函数和kullback熵函数光滑化max函数。 |
| 7. | The article has expatiated the definition of the entropy function of thermodynamics , and discussed enough the irreversible process of entropy - transtion compute about the thermodynamics system
摘要阐述了热力学熵函数的定义，并对热力学系统的不可逆过程的熵变计算作了充分的讨论。 |
| 8. | When adding an entropy function as regularizing term to the lagrangian function , we obtain a smooth approximate function for m ( x ) , which turns out to be the exponential penalty function
当将熵函数作为正则项加到拉格朗日函数上，我们得到了逐点逼近于m ( x )的光滑函数。经证明，该函数即为指数罚函数。 |
| 9. | Firstly , the duality principle is used to change the linear program problem into the minimax problem , an interval extension of the adjustable entropy function is set up and its order of convergence is discussed
首先利用对偶理论将线性规划问题转化为极大极小问题，建立并讨论了调节熵函数的区间扩张及其收敛阶。 |
| 10. | In this thesis , we extend the entropy regularization method in two ways : from the min - max problem to general inequality constrained optimization problems and from the entropy function to more general functions
本文从两个方面发展了这种熵正则化方法，即将其从极大极小问题推广到一般不等式约束优化问题上和用一般函数代替熵函数作正则项，建立新的正则化方法。 |
