将多级燃气涡轮的设计问题表述为其空气动力学损失和质量为极小化目标的多目标非线性数学规划问题。
The problem of multistage design of gas turbines is formulated as a multiobjective nonlinear programming problem with the objective functions of minimum aerodynamic loss and total mass of the turbine.
该文首先给出了求在线性约束下极小化有限个阶梯函数和的一种分枝定界算法。
This paper first presents a branch-and-bound algorithm to minimize a finite sum of stair-case functions under linear constraints.
通过最小化能量方案极小化代价函数，同时通过定点交替迭代策略将非线性方程进行线性化处理，快速恢复图像。
The cost functions are minimized by alternate minimization scheme. The nonlinear equations are linear by fixed-point iteration scheme.
用序列无约束极小化方法（SUMT）求解非线性有约束的优化问题。
The non linear optimization problem with constraint has been solved by use of the sequential unconstrained minimization technique (SUMT).
基于非线性约束极小化的序列无约束方法，对大规模过程系统稳态优化的序列界约束方法进行了研究。
Based on successive unconstrained programming methods, the successive bound constrained programming algorithms for large-scale process system optimization are studied in this paper.
此外，采用非线性规划的序列无约束极小化技术，提出了用路段交通量推算o—d出行量的计算方法。
Besides, the method of calculating the O-D trip volumes by means of the link volumes is studied by adopting SUMT of the non-linear programming.
此外，采用非线性规划的序列无约束极小化技术，提出了用路段交通量推算o—d出行量的计算方法。
Besides, the method of calculating the O-D trip volumes by means of the link volumes is studied by adopting SUMT of the non-linear programming.
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