Stochastic programming is an important branch of mathematical programming . however , it is very different from ordinary mathematical programming 随机规划是数学规划的一个重要分支，然而它不同于普通的数学规划。
This paper tries to study stochastic programming , especially chance constrained programming on the theory of probability and statistics 本文试图利用概率统计有关理论作为工具，对随机规划特别是机会约束规划进行研究。
The first is transforming it into equivalent deterministic programming and then solving it by using the theory of deterministic programming that has been developed successfully 其第一种途径是将随机规划转化为各自的等价确定性规划，然后利用已经发展得较为完善的确定性规划的解法去解之。
Modeling tools and techniques include linear , network , discrete and nonlinear optimization , heuristic methods , sensitivity and post - optimality analysis , decomposition methods for large - scale systems , and stochastic optimization 建模工具和方法涵盖线性规划，网络规划，离散规划，非线性规划，启发式方法，灵敏度分析，事后最优性分析，大规模系统的分解方法和随机规划。
At last , the stochastic model and the linear programming are both applied to optimum design of drip - irrigation project for jiangsu province haimen city changle town . then the results are compared and analysed 最后将随机规划模型和确定性线性规划模型分别应用于江苏省海门市常乐镇微灌工程规划设计中的大棚滴灌系统，对管网系统进行了优化设计，并将其结果进行了比较分析。
In this paper , we develop an asset and liability management model suited to the domestic circumstances according to the current situation in china based on the stochastic programming model for asset and liability management , in which we improve the subject restraints of the model 摘要在资产负债管理随机规划模型的基础上，根据国内实际情况，改进了模型的约束条件，建立了适合国内情况的资产负债管理模型。
Thus , according to mechanics of dealing with stochastic phenomena in programming theory , multi - objective stochastic programming model is developed to dispose parameter uncertainty . as a heuristic monte carlo approach with powerful global searching , genetic algorithm based on stochastic programming is utilized 为了更好的处理实际生产中参数的不确定性，根据数学规划论中处理随机现象的机理，建立多目标随机规划模型，模型求解采用基于随机规划的遗传算法。
Since the development of the simplex method many people have contributed to the growth of linear programming by developing its mathematical theory , devising efficient computational methods and codes , exploring new applications , and by their use of linear programming as an aiding tool for solving more complex problems , for instance , discrete programs , nonlinear programs , combinatorial problems , stochastic programming problems , and problems of optimal control 由于单纯形的发展，很多人致力于线性规划的进步，通过发展它的数学理论、设计高效的计算方法和规则、探索新的应用，以及把线性规划的使用作为解决更复杂问题的辅助工具，比如，离散规划，非线性规划，组合问题，随机规划问题和最优控制问题。
On the basis of analyzing the usual problems in the design of micro - irrigation , network for micro - irrigation is optimize designed . by the method of combining analysing the theories and the engineering examples and of stochastic programming , the network for micro - irrigation is optimize designed , and the stochatic non - linear programming model of micro - irrigation system is built 本文针对微灌工程规划设计中的问题，在分析常规微灌系统规划设计方法的基础上，采用随机规划的数学方法，对微灌系统管网进行了优化设计。
Traditional uncertain programming mainly contains stochastic programming and fuzzy programming , which have many applications in manufacture , economy and management etc . especially , the theory of stochastic or fuzzy linear programming is more complete , so it has more applications than stochastic or fuzzy nonlinear programming 传统的不确定规划主要分为两大类：随机规划和模糊规划，并且在生产、经济及管理等诸多方面已有广泛的应用，特别是随机线性规划和模糊线性规划理论较为完善，应用更加广泛。
