Optimization methods, the theory and algorithm of solving optimization problems, can be divided into two parts, the traditional optimization algorithms and intelligent optimization algorithms.
最优化方法是解决最优化问题的理论和算法，主要包括传统优化算法和智能优化算法两大类。
The method consists of two parts: aerodynamic performance calculation based finite blade vortex theory and aerodynamic optimization design based genetic algorithms.
该方法分为两部分：基于有限片桨叶涡流理论的气动性能计算和采用遗传优化算法的优化设计。
The intervention of space partition and space contract theory provides new ideas for optimization algorithms.
空间划分与空间收缩的引入，给优化算法的研究提供了新思路。
SVM transforms machine learning to solve an optimization problem, and to solve a convex quadratic programming problem by the optimization theory and method constructing algorithms.
它将机器学习问题转化为求解最优化问题，并应用最优化理论构造算法来解决凸二次规划问题。
With these algorithms and the equivalence theory, the several rules to logically optimize the accessing trees were presented and the correctness for the logical optimization was proved.
根据这些算法和关系代数等价定理，给出了对关系代数查询树进行逻辑优化的规则，并证明了逻辑优化的正确性。
Secondly, the theory base and mathematic model was introduced along with the corresponding heuristic algorithms of the Multi-Restrict Airline Schedule Optimization Model.
其次介绍了“多元受限的航班时刻优化模型”的理论基础、数学模型、相应的启发式算法。
Therefore, this paper presents novel robust algorithms for 3d imaging myocardial strain and elastic modulus based on cardiac cine-MRI images and optimization theory.
因此，本文提出了基于MRI心脏电影图像和优化理论的心肌应变和弹性模量三维成像的鲁棒算法。
Therefore, this paper presents novel robust algorithms for 3d imaging myocardial strain and elastic modulus based on cardiac cine-MRI images and optimization theory.
因此，本文提出了基于MRI心脏电影图像和优化理论的心肌应变和弹性模量三维成像的鲁棒算法。
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