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1.
基于离散近似迭代法的多阶段M-V投资组合优化   总被引:2,自引:0,他引:2  
提出了离散近似迭代方法,并用该方法求解具有交易成本和交易量限制的多阶段均值-方差(M-V)投资组合模型.离散近似迭代方法的基本思路为:首先,将连续型状态变量离散化,根据网络图的构造方法将上述模型转化多阶段赋权有向图;其次,运用嘉量原理求出起点至终点的最长路程,即获得模型的一个可行解;最后,以该可行解为基础,继续迭代直到前后两个可行解非常接近.还证明了该方法的收敛性和复杂性.  相似文献   

2.
多阶段均值-半绝对偏差模糊投资组合优化研究   总被引:1,自引:0,他引:1  
考虑交易成本和交易量限制,提出投资组合的收益率的隶属函数为梯形的多阶段均值-半绝对偏差可能性投资组合模型,并用自创算法——离散近似迭代法求解.其基本思路为:将连续型状态变量离散化,根据网络图的构造方法将上述模型转化多阶段赋权有向图;运用极大代数求出起点至终点的最长路程,即获得模型的一个可行解;以该可行解为基础,继续迭代直到前后两个可行解非常接近.文章还证明了该方法的线性收敛.最后,文章以一个具体的算例验证了该算法的有效性.  相似文献   

3.
将动态风险度量方法运用到多阶段投资组合中,提出了具有交易成本和交易量限制的均值—动态VaR多阶段投资组合模型,并运用自创算法——离散近似迭代法求解.方法的基本思路为:首先,将模型中的连续型状态变量离散化,并将上述模型转化多阶段赋权有向图,然后,运用极大代数求出起点至终点的最长路程,即获得模型的一个可行解;最后,以该可行解为基础,继续迭代直到前后两个可行解非常接近.证明了该方法的收敛性,并以一个具体的算例,验证了该算法可以较快地计算出不同终期财富所对应的最优投资策略.  相似文献   

4.
连续型凸动态规划的离散近似迭代法研究   总被引:1,自引:0,他引:1  
为解决连续型凸动态规划的“维数灾”问题,提出了一种新的算法—离散近似迭代法.该算法的基本思路为:首先,将连续型状态变量离散化,根据网络图的构造方法将动态规划问题转化为多阶段有向赋权图;其次,运用极大代数求出起点至终点的最短路,即获得模型的一个可行解;最后,以该可行解为基础,继续迭代直到前后两个可行解非常接近.文章还证明了该算法的收敛性和线性收敛,并以一个具体例子验证了算法的有效性.  相似文献   

5.
用多尺度快速配置法求解病态积分方程的隐式迭代方程.在积分算子是扇形紧算子时,该方法得到了离散隐式迭代方程的近似解.采用Morozov偏差原理作为停止准则,并证明了在该准则下隐式迭代正则化方法所得近似解的收敛率.最后,用数值实验证实理论结果和说明数值方法的有效性.  相似文献   

6.
研究了一个强非线性波动方程.利用泛函分析变分迭代方法,首先构造了一个变分, 求出相应的Lagrange乘子;其次构造一个解的变分迭代, 选取初始孤子波;最后利用迭代方法依次求出各次孤子波的近似解.该方法是一个简单可行的近似求解非线性方程的方法  相似文献   

7.
研究了时滞Lolta-Volterra生态模型.利用同伦分析方法,得到了该模型解的近似展开式,并对近似解与数值解进行了比较.比较结果表明,近似解具有较高的精度,该方法用于生态模型研究可行.  相似文献   

8.
罗兴钧  江伟娟  张荣 《计算数学》2022,44(2):257-271
本文采用多尺度配置法求解第一类弱扇形积分方程.将压缩配置法用于投影离散非定常迭代正则化方程,得到了近似解在Banach空间范数下误差估计,给出了迭代停止准则,确保近似解无穷范数下的最优收敛率.优点是确保了收敛率,减少了计算量.数值例子验证了算法的有效性.  相似文献   

9.
考虑了第一类Fredholm积分方程的求解.采用有矩阵压缩策略的多尺度配置方法来离散Lavrentiev迭代方程,在积分算子是弱扇形紧算子时,给出近似解的先验误差估计,并给出了改进的后验参数的选择方法,得到了近似解的收敛率.最后,举例说明算法的有效性.  相似文献   

10.
研究了一类广义Duffing扰动共振机制.利用泛函分析同伦映射方法,构造了求得问题渐近解的迭代关系式.首先求出了Duffing模型的初始近似函数;其次利用迭代关系依次求出了模型的各次渐近解;然后通过举例,说明了用泛函同伦映射方法得到的广义Duffing扰动振子随机共振机制的近似解简单而有效.讨论了得到的渐近解的意义.  相似文献   

11.
关于波动方程混合问题的特征线方法   总被引:3,自引:0,他引:3  
姜玲玉 《数学杂志》2004,24(5):577-580
传统的求解1维波动方程混合问题的方法是分离变量法,进而解出该问题的Fourier级数解,本文将用特征线方法给出该问题在求解区域内解的显式表达式。  相似文献   

12.
This paper presents a method for solving multiperiod investment models with downside risk control characterized by the portfolio’s worst outcome. The stochastic programming problem is decomposed into two subproblems: a nonlinear optimization model identifying the optimal terminal wealth distribution and a stochastic linear programming model replicating the identified optimal portfolio wealth. The replicating portfolio coincides with the optimal solution to the investor’s problem if the market is frictionless. The multiperiod stochastic linear programming model tests for the absence of arbitrage opportunities and its dual feasible solutions generate all risk neutral probability measures. When there are constraints such as liquidity or position requirements, the method yields approximate portfolio policies by minimizing the initial cost of the replication portfolio. A numerical example illustrates the difference between the replicating result and the optimal unconstrained portfolio.  相似文献   

13.
In this paper, we propose to combine the Marginal Indemnification Function (MIF) formulation and the Lagrangian dual method to solve optimal reinsurance model with distortion risk measure and distortion reinsurance premium principle. The MIF method exploits the absolute continuity of admissible indemnification functions and formulates optimal reinsurance model into a functional linear programming of determining an optimal measurable function valued over a bounded interval. The MIF method was recently introduced to analyze the reinsurance model but without premium budget constraint. In this paper, a Lagrangian dual method is applied to combine with MIF to solve for optimal reinsurance solutions under premium budget constraint. Compared with the existing literature, the proposed integrated MIF-based Lagrangian dual method provides a more technically convenient and transparent solution to the optimal reinsurance design. To demonstrate the practicality of the proposed method, analytical solution is derived on a particular reinsurance model that involves minimizing Conditional Value at Risk (a special case of distortion function) and with the reinsurance premium being determined by the inverse-S shaped distortion principle.  相似文献   

14.
Xixia Ma 《Applicable analysis》2018,97(9):1600-1610
We study the nonhomogeneous boundary value problem for the steady Magnetohydrodynamic equations in a two-dimensional bounded domain with multiply connected boundary. We prove that this problem has an admissible solution in an admissible domain if the boundary value is admissible. The proof of the main result uses some property for a weak solution to the transport equations in an admissible domain.  相似文献   

15.
Bahl and Zionts [H.C. Bahl, S. Zionts, A noniterative multiproduct multiperiod production planning method, Operations Research Letters 1 (1982) 219-221] formulated a problem for planning multiproduct multiperiod production on a single facility. They developed a column-minima noniterative method and claimed that it gave an optimal solution. We show that the claim is incorrect.  相似文献   

16.
The problem of finding the mean variance optimal portfolio in a multiperiod model can not be solved directly by means of dynamic programming. In order to find a solution we therefore first introduce independent market clones having the same distributional properties as the original market, and we replace the portfolio mean and variance by their empirical counterparts. We then use dynamic programming to derive portfolios maximizing a weighted sum of the empirical mean and variance. By letting the number of market clones converge to infinity we are able to solve the original mean variance problem.  相似文献   

17.
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