This paper considers the nonlinear programming problem of interval parameters.
讨论了区间参数非线性规划问题。
This thesis applies dynamic programming principle to solve a nonlinear programming problem.
应用动态规划原理来解决一类非线性规划问题。
The optimal model of parameters is formulated as a constrained nonlinear programming problem.
一方面，分析并建立了控制策略参数优化的有约束非线性模型；
The problem is firstly transformed into an equivalent constraint nonlinear programming problem.
首次将二次稳定性问题等价地转化为约束非线性规划问题。
Methods of feasible directions are important method of a kind of solving a nonlinear programming problem.
可行方向法是求解非线性规划问题的一类重要方法。
Secondly, the problem of searching the optimal plane-pair is equivalent with nonlinear programming problem under some transforms.
然后，将最优广义分离平面对的搜索问题等效变换为非线性规划问题；
A new method is applied to a kind of nonlinear programming problem with monotonic functions and non-monotonic objective functions.
给出了一类约束函数单调而目标函数非单调的非线性规划问题的一种新的求解方法。
The problem can be posed as a standard nonlinear programming problem with equality constraints by means of the stepped reduction method.
利用阶梯折算法，问题可以化为一个具有等式约束的标准的非线性规划问题。
Introduce main problems of Constained Optimization and methods to solve them. Using immune computing algorithm for solving nonlinear programming problem.
介绍了约束条件的函数优化的主要问题及处理约束的解决方法，针对一般性非线性规划问题，采用免疫算法来进行处理。
Intelligent method has been widely used in reactive power optimization because of its superiority in solving the large-scale nonlinear programming problem.
近年来，由于在解决大规模非线性规划问题上的优势，智能算法在电力系统无功优化问题中获得广泛应用。
The paper studies the nonlinear programming problem with linear constraints. Based on its optimality conditions, a neural network for solving it is proposed.
研究了线性约束的非线性凸规划问题，基于最优性的充要条件，提出了求解它的一个神经网络。
Based on fully stressed criterion, a mathematical model for spring optimization design has been built. The model is a constrained nonlinear programming problem.
按满应力准则建立了弹簧优化设计的数学模型，它是一个有约束的非线性规划问题。
We first formulate the problem as a stochastic nonlinear programming problem and then propose a new simple method for solving it via some approximation techniques.
本文先把问题转化为一个随机非线性规划问题，然后用逼近技术给出一个简单的求解方法。
Owing to its special structure. the nonlinear programming problem can be considered as a multistage decision problem and solved by using dynamic programming principle.
由于所研究的非线性规划问题的特殊结构，所以可将它看成是一个多阶段决策问题，应用动态规划求解。
The nonlinear programming problem that the constraint perturbation attains minimum under the condition when the objective function makes its optimal perturbation is considered.
考虑当目标函数在约束条件下的最优值作扰动时，使各约束作极小扰动的非线性规划问题。
By using direct shooting method, the associated optimization was converted into a nonlinear programming problem, which was solved through a sequential quadratic programming solver.
利用直接打靶法，将此最优控制模型转化为非线性规划问题，并采用序列二次规划算法进行解算。
It is difficult to perform a design optimization of linear twodegrees of Freedom isolation system, because of that it is a nonlinear programming problem under transient impact conditions.
线性两自由度隔振器的瞬态最优设计问题是一类很难求解的非线性规划问题。
The simplex optimization method about nonlinear programming problem has been used in the mixed acid linear titration and the effect of various factors on computative speed has been discussed.
将非线性规划问题的单纯形加速法用于混合酸的线性滴定计算，同时优化酸浓度及有关条件常数，求出酸浓度的最优解。 讨论了影响单纯形法计算速度的因素。
Presents a special nonlinear programming problems, its objective function contains absolute value symbol, this kind of problem can be transformed to the solution of a linear programming problems.
给出了一类特殊的非线性规划问题，其目标函数中带有绝对值符号，这类问题可以转化为线性规划问题来求解。
Optimization mathematical model of special transformer electromagnetism parameters is a nonlinear programming problem with equality and inequality constraints, to meet some certain design objective.
特种变压器电磁参数的优化设计是一个带有等式和不等式约束，满足某种设计目标的非线性规划问题。
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.
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。
This article gives a solution to the programming 0-1 problem whose objective function is a nonlinear function, by applying weighted bipartite graph and perfect matching.
本文对一种目标函数为非线性函数的0—1规划问题提出了一种运用赋权偶图及完美对集的求解方法。
Then the problem about tradeoff between reliability and maintainability is translated into nonlinear programming, based on the cost effectiveness analysis.
然后通过费用-效能分析的方法，把可靠性、维修性综合权衡问题转化为二元非线性规划问题。
With all kinds of operation constraints, fast restoration of supply under battle damage is a typical nonlinear integer programming problem.
在满足各种运行约束条件下，快速地恢复因战斗受损的负荷供电是一典型的非线性整数规划问题。
After finishing the analysis of correlation parameter, we construct the model of fund distributing, and seek the satisfying solve of the problem with Nonlinear programming.
在完成相关参数的分析后，构造经费分配的数学模型，运用非线性规划，求问题的满意解。
Adjoint function algorithms and direct collocation and nonlinear programming methods are applied to resolve the non-coplanar optimal orbit transfers problem.
分别利用了共轭函数法与直接配置和非线性规划方法对异面最优变轨问题进行了求解。
In this paper, an optimal mathematical model solving method, the successive approximation method, of the nature of nonlinear integral programming problem is suggested.
本文提出一种求解优化数学模型，属于非线性整数规划问题的方法——逐次近似法。
In this paper, an optimal mathematical model solving method, the successive approximation method, of the nature of nonlinear integral programming problem is suggested.
本文提出一种求解优化数学模型，属于非线性整数规划问题的方法——逐次近似法。
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