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.

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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.

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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.

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