In chapter 3, we present a nonmonotonic trust region algorithm based on the conic model.
第三章，我们提出了一类基于锥模型的非单调信赖域算法。
This paper puts forward the adaptive trust-region algorithm based on the conic model for unconstrained optimization.
无 约束优化 问题提出了基于锥模型的自适应信赖域算法。
In this paper, a trust region method with new conic model for linearly constrained optimization problems is proposed.
本文提出了一个解线性等式约束优化问题的新锥模型信赖域方法。
In this paper, we mainly discuss the modified quasi-Newton trust region methods based on a conic model (TRCM method) and prove their convergence properties.
沿袭用锥模型来逼近原问题的思路，本文主要研究锥模型拟牛顿信赖域方法的参数选择、收敛性和数值实现。
In recent years, the conic model for the study of trust region algorithm has aroused wide spread concern, made up for the deficiencies of quadratic model trust region algorithm.
近年来，锥模型信赖域算法的研究引起了专家们的普遍关注，弥补了二次模型信赖域算法的缺陷。
Conic section road border model put forward to the form characteristic of the border of road, the ones that have realized to identification line of lane which are followed in real time.
针对道路边界的形状特征提出的二次曲线道路边界模型，实现了对车道标识线的实时跟踪。
The results show that conic interpolation model method is an efficient direct search method. This should be further researched.
试验结果表明锥函数插值模型算法是一类有效的直接方法，值得进一步研究。
According to the graphic distortion of the laser galvanom, a kind of conic calibration model was put forward based on post-validation of geometry distortion caused by the imaging system.
针对传统的畸变图像校正方法，其所建立的畸变数学模型，不仅求解畸变参数复杂、计算量大，且存在很大的数值计算误差的问题，提出了一种基于神经网络的畸变图像校正方法。
One is differential least square method based on conic, and the other method is trend extrapolation based on modified exponential model.
本文采用两种方法来解决高温温区的外推标定问题，即基于二次曲线的导数最小二乘法和基于修正指数模型的趋势外推法。
One is differential least square method based on conic, and the other method is trend extrapolation based on modified exponential model.
本文采用两种方法来解决高温温区的外推标定问题，即基于二次曲线的导数最小二乘法和基于修正指数模型的趋势外推法。
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