无约束的

In the more mature areas such as linear programming and unconstrained optimization, and in those of intermediate maturity such as integer and constrained convex optimization, emphasis will be placed on rapid, large-scale computation.

在那些更为成熟的如线性规划和无约束优化等领域和一些不太成熟的如整数和约束优化等领域，研究的重点将被放到快速的，大规模的计算上。

Then,by means of an unconstrained equivalent form of the criterion,a blind adaptive algorithm is given.

然后，利用约束优化问题的一个无约束条件的等价形式，给出盲多用户检测的自适应算法。

An optimal control model is developed for the definite linear economic systems with an inequality constraint on state integrals, based on the dynamic input-output theory.

利用动态投入产出模型和控制理论方法相结合，对经济系统进行分析和宏观调控·具有状态积分不等式约束的确定性线性经济系统最优控制模型，是基于动态投入产出理论建立的·利用无约束条件的极大值原理，分析了最优技术与经济控制策略的存在性和惟一性，使得产品的实际产出尽量接近理想产出，同时使能源、资金等消耗最小，并给出了最优反馈控制的形式

Linear memoryless state-feedback control law is derived for two classes of uncertain nonlinear interconnection systems with sector restriction or norm-bounded restriction based on Linear Matrix Inequality. This method doesn't require that two input terms are absolutely controllable for nonlinear delay systems.

基于线性矩阵不等式分别导出了具有扇形角约束和范数有界约束的两类非线性关联不确定系统的线性无记忆状态反馈控制律设计方法，该方法不要求系统的两输入项对系统完全可控。

the classic inventory model is optimizing model of nonrestraint. but in fact, it is usually restricted by funds, warehouse's space, service rate etc. therefore, many inventory models of variable restriction are produced in succession.

经典的存贮模型是无约束优化模型，但在实际使用时，却往往受到资金、库容、服务率等条件的限制，因此，陆续产生了带有各种约束的存贮模型。

A general super memory gradient projection method was generalized to solve the nonlinear programming problems about the nonlinear equality constraints and in equality constraints by using general projection matrix.

利用广义投影技术，将求解无约束规划的超记忆梯度算法推广，建立了求解带非线性等式和不等式约束优化问题的一种超记忆梯度广义投影算法，并证明了算法的收敛性。

We define I-quasi-invex vector function ., I-strictly quasi-invex vector function and KT-I-strictly quasi invex vector function, and derive the above equivalent condition for unconstrained or constrained multiobjective programming.

于是，在本文的第三部分，我们定义了Ⅰ类不变拟凸、Ⅰ类严格不变拟凸、KT-Ⅰ类严格不变拟凸的向量值函数，并且在无约束或约束多目标规划中，获得了每个驻点是有效解的等价条件。

With the improvements to the initial population and disposal of objective function, we choose DE as the searching method in EAFSC to investigate it performance in classic unrestraint optimization, Minimax Optimization and nonlinear equations.

其次结合对初始种群和目标函数的处理，以DE为例分别探讨EAFSC在典型的无约束优化、Minimax优化和约束优化问题、非线性方程及方程组求根中的应用。

The topics covered in this course include: unconstrained optimization methods, constrained optimization methods, convex analysis, Lagrangian relaxation, nondifferentiable optimization, and applications in integer programming.

这门课程的主题包括：无约束最优化方法，约束最优化方法，凸分析，拉格朗日松弛法，不可微函数最优化，以及在整数规划上的应用。

A new heuristic solution algorithm is presented using an improved genetic algorithm. In the improved genetic algorithm, nondifferentiable exact penalty functions are used to transform a constrained optimization problem into a single unconstrained optimization problem, and hybrid crossovers and intermittent are applied to increase the search capability.

设计了基于改进遗传算法的启发式求解算法，该算法借助不可微精确罚函数将约束问题转化为单个无约束问题来解决，采用混合杂交和间歇变异提高算法的搜索能力。

In the United States, chronic alcoholism and hepatitis C are the most common ones.

在美国，慢性酒精中毒，肝炎是最常见的。

If you have any questions, you can contact me anytime.

如果有任何问题，你可以随时联系我。