保温层厚度的优化是含有多变量非线性目标函数的优化。
The optimum thickness for the insulating layer is to find the optimal solution for a nonlinear objective function.
本文提出的正交寻优法是适用于复杂非线性目标函数的近似寻优法。
The method presented in this paper is an approximate optimization method for nonlinear objective function.
本文利用完全线性化方法处理非线性目标函数，用惩罚函数法对拟合参数约束。
In this paper, the non-linear objective function is treated by means of the complete linearization method and the fitting parameters are restricted by using the punished function.
该数学表达式表现为一个具有非线性目标函数及线性与非线性约束条件的大规模0 - 1规划问题。
This formulation results in a large scale 0-1 programming problem with nonlinear objective function and linear or nonlinear constraints.
与线性双层规划的有关结果相比较，该文在目标函数和所要求满足的条件两方面都有推广。
As compared with the corresponding results in the linear bilevel programs, our generalizations are two-fold: the objective function and the condition that should be satisfied.
具体表现为运用线性完备变换方法，以贷款组合风险最小为目标函数，以贷款组合期望收益率为约束条件建立模型。
It represent in the model setup with the linear complete transfer and the minimum risk of loans portfolio as the target function and the constraint of earning yield risk value.
对分割出的图像，采用双线性变换函数来实现目标的校正。
For the bar image segmented bilinear transformation function is used to restore the bar image.
提出了一个通用优化目标函数，它由有关的物流、能流及单元模块参数线性组合而成，在系统中被自动描述出来。
A general objective function in the form of linear composition of material streams, energy streams and module parameters is described, which can be generated automatically in the system.
并对约束系数和目标函数系数为区间数的线性规划问题进行了深入的分析。
The linear programming with interval number in target function and constraint coefficient is analyzed thoroughly.
针对每个离散角速度，依据影响系数法，采用包含残余振动值和校正不平衡的广义线性二次型目标性能函数推导出控制律。
For each discretized angular speed, the control law is derived from the generalized linear quadratic objective performance function including residual vibration measurements and imbalance correction.
运用求解线性规划对偶单纯形算法原理，进一步研究迭代过程中目标函数的变化。
Based on the principle of the dual simplex method about linear programming, the changes of the value of the objective function in iterations have been studied.
它根据光照函数的线性关系，估计不同太阳位置和不同天气状况基图象的系数，从而最终通过基图象的组合来产生目标图象。
According as to the linearity of illumination function, the coefficients of basis images of varying sun position and sky conditions can be calculated to generate the desired image.
讨论了线性规划模型中，消耗系数矩阵a中某个基变量或某个约束方程的系数向量变化以及增减约束方程时，对最优基、最优解、目标函数值和影子价格的影响。
The paper discuss the effect exerting on objective function, optimum solution and shadow price in LP when consumption coefficient matrix a change and a inequality constraint is increased or decreased.
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。
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.
本文阐述了水电站群径流补偿调节线性规划模型的思路、数学模型、算法和结构，并讨论了模型的目标函数问题。
This paper introduces the theory, the mathematical model, the algorithm, and the structure of a linear programing problem for runoff compensating regulation of a group of hydropower stations.
由于消极方法使用很多不同的局部线性函数来形成对目标函数隐含的全局逼近，具有比积极方法更丰富的假设空间。
Because lazy method USES many different local linear functions to form implicitly the overall situation for that goal, it has more rich assumption space than positive method.
本文利用目标函数和约束函数的线性下界估计，提出一种求(SGP)问题全局解的线性松弛方法。
By utilizing the linear underestimation of objective and constraint functions, a linear relaxation method is proposed for finding global solution of SGP.
该方法利用最大似然准则建立目标函数，同时利用非线性共轭梯度法来优化求解目标函数。
The objective function was established based on the maximum likelihood rule, which was solved by nonlinear conjugate gradient method.
线性规划是一种单目标规划，根据有关的约束条件得出目标函数的最大值或最小值。
Linear programming is a single goal programming method, the goal function get the maximum or minimum on the basis of limit condition.
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。
The nonlinear programming problem that the constraint perturbation attains minimum under the condition when the objective function makes its optimal perturbation is considered.
根据新的目标函数，设计了一种重要点和自底向上分割相结合的时间序列分段线性化趋势特征提取方法。
The existing algorithms to extract trend features based on time series piecewise linearization representation cannot extract completely correct basic trend features of time series.
在实际生活中，模糊目标函数和约束条件往往是非线性的。
In real life, fuzzy objective functions and constrains are always nonlinear.
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。
A new method is applied to a kind of nonlinear programming problem with monotonic functions and non-monotonic objective functions.
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。
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.
当线性规划约束条件的右端向量在一定范围内变化时，目标函数的最优值是右端向量的一个复杂的分片线性函数，但通常难以给出分析表达式。
The optimal objective value is a complicated piecewise linear function of the right-hand-side vector of the constraints, and its analytical expression is normally hard to obtain.
证明该算法在目标函数为一致凸时具有局部超线性收敛性。
It was proved that, when the objective function was uniformly convex, this algorithm possessed superlinear convergence.
设计了多目标进化算法来求解代价函数的全局最优解，提出了非线性盲源分离的多目标进化算法。
For separating source signals efficiently, a nonlinear blind separation algorithm based on specific-designed multiobjective evolutionary algorithm is proposed.
设计了多目标进化算法来求解代价函数的全局最优解，提出了非线性盲源分离的多目标进化算法。
For separating source signals efficiently, a nonlinear blind separation algorithm based on specific-designed multiobjective evolutionary algorithm is proposed.
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