linear inequality constraint meaning in Chinese
线性不等式约束
Examples
- Aiming at more general nonlinear optimizations subject to linear inequality constraints , this article proposes curvilinear path trust region algorithms
本文针对更为一般的带线性不等式约束的优化问题提出弧线路径信赖域算法。 - This paper gived an alternating iterative algorithm , and solved parameters estimation question of math model in the case of unknown error variances , which some linear models with the same parameters with linear inequality constraints , at last , data modeling was done
摘要本文对不等式约束条件下，具有相同参数的多个线性模型的参数，在方差未知的情况下，给出了一种迭代算法，并利用一组随机数据对此算法进行了模拟。 - Otherwise , the trust region radius is reduced and a new trial point is selected . it is possible that the region subproblem need to be resolved many times before obtaining an acceptable step , and hence the total computation for completing one iteration might be expensive . this article combines approximate trust region path and nonmonotonic backtracking strategy to solve nonlinear optimization subject to linear inequality constraints , that is , we use approximate trust region path to get the research direction by minimuming quadratical model in the trust region by employing
本文在求解线性不等式约束优化问题时，将近似信赖域路径与非单调信赖域方法相结合，即在信赖域半径内沿近似信赖域路径得到一极小化二次模型的搜索方向后采用回代法避免重复求解信赖域子问题，在此算法中当搜索方向不被接受时，就用非单调线搜索技术得到接受步长，定义新的迭代点。