| 1. | Design and implementation of linear optimization solving system
大规模线性优化求解系统的设计与实现 |
| 2. | Based on theory of convex cones , our extensions of robust linear optimization are done in three directions
摘要本文基于凸锥理论对鲁棒线性最优化作了若干拓展。 |
| 3. | The video - based 3d body tracking method under the non - linear optimization framework was proposed , which combined multiple cues and motion prior efficiently
其算法特点是，多种图像特征和运动知识有机地集成于一个基于非线性优化策略的跟踪框架中。 |
| 4. | Read sections 7 . 1 - 7 . 3 of chapter 7 . we will cover the basics of linear optimization , including formulations , key concepts , and graphical solution methods
阅读第七章7 . 1到7 . 3的部份。我们的课程将介绍线性最佳化的基础，包括方程式，重要概念以及图形解方法。 |
| 5. | A comprehensive set of lecture notes , from basic principles , such as linear optimization , to sophisticated real - world applications are available . also , there are problem sets in pdf format
本课程提供详尽的课堂讲稿，涵盖线性规划等基本原理以及复杂的实际问题应用。同时，本课还有一些问题集（ pdf格式） 。 |
| 6. | Especially , a kind of non - linear optimization analytic hierarchy process ( ahp ) with experts reliability on the basis of the traditional ahp is proposed , and it is a new method for determining the evaluation indexes weights
特别地，文中在确定评价指标的权重时，在传统的层次分析法基础上进行改进提出了一种新方法带有专家可信度的非线性优化层次分析法。 |
| 7. | Traditional method can be classified two class : linear optimization technique and nonlinear optimization technique , linear optimization technique base on born approximation or rytov approximation is usually used to solve weak scattering problem
线性优化方法采用线性近似忽略了散射体内部的多次散射，可以有效的反演低对比度的问题，但对于高对比度问题的求解则有可能不收敛。 |
| 8. | By using rac ( radial alignment constraint ) of imaging process to decompose camera parameters and organizing the solving sequence of the parameters rationally , all parameters can be obtained through solving linear equations that avoid non - linear optimization
巧妙地利用成像过程中的径向约束（ rac ）分解摄像机参数，使得求解线性方程组即可得到全部的摄像机参数，避免非线性优化搜索。 |
| 9. | Compared with csm , two examples proved that ann could be trained successfully , even if the available data were insufficient and irregular , while csm showed the limit in selecting model type and non - linear optimization
两个实例的应用结果表明:人工神经网络通过神经原作用函数的简单复合就能逼近有限子集的任意非线性函数，而传统的统计方法则存在着如何选择模型形式及非线性优化问题，表现出明显的局限性，并且统计模型的更新工作相当繁重。 |
| 10. | With analogizing the evolution process of atomic transition from excited states to ground state , we proposed a novel non - linear optimization algorithm for geophysical inverse problem , called as simulated atomic transition algorithm ( sata )
在此基础上，模拟了物理学中原子从激发态向基态跃迁的物理过程，建立了一种与原子跃迁过程相对应的非线性随机跃迁数学模型和模型解跃迁搜索准则，导出了适用于一般地球物理资料的模拟原子跃迁的非线性反演算法。 |
