最优化也包括解决大规模，离散，非线性，多目标和全球化问题的技术。
Optimization also involves techniques for solving large-scale, discrete, nonlinear, multiobjective, and global problems.
本文把最小外接球的评定问题表述为非线性约束最优化问题，并采用有效约束技术求得精确的最优解。
The equations of nonlinearly constrained optimization are presented for the evaluation of the minimal circumscribed sphere.
采用线性矩阵不等式技术，将问题转化为一线性凸优化算法，可得问题的全局最优解。
Using the linear matrix inequality (LMI) technique, the problem is converted into a linear convex optimization algorithm so that a global optimization solution is obtained. Finally.
为了使作物生长模型中的参数最优化，提出了一种改进型非线性最小二乘法在作物生长模型中隐含参数估计的应用技术，针对多目标项的情况提出了权矩阵的自动计算方法。
In order to optimize the parameters in a crop growth simulation model, a new method based on nonlinear least squares method was developed for estimation of hidden parameters of crop growth.
本文选择农业意义明确的经济计量因子的非线性函数形式，采用最优化方法进行农业技术趋势项模拟。
A nonlinear function of economic factors of clear agricultural meaning is established and the tendency of advancement in agricultural technology is simulated by means of optimization.
针对苯丙氨酸解氨酶生物传感器非线性特性，依据最小二乘法理论，采用最优化技术，建立了最佳拟合直线的数学模型，并给出基于可编程控制器的数据拟合程序。
To solve the non-linear problem of a biosensor, the least square method and the optimum technique have been applied to build a mathematical model to evaluate the optimum fitting straight.
针对苯丙氨酸解氨酶生物传感器非线性特性，依据最小二乘法理论，采用最优化技术，建立了最佳拟合直线的数学模型，并给出基于可编程控制器的数据拟合程序。
To solve the non-linear problem of a biosensor, the least square method and the optimum technique have been applied to build a mathematical model to evaluate the optimum fitting straight.
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