For an SAP application, DB2 accomplishes storage optimization by dynamically allocating storage space when needed and free space when not needed.
对于SAP应用程序，DB 2完成了存储优化，可在需要时动态分配存储空间，在不需要时释放空间。
The compiler is free to reorder certain instructions as an optimization when it would not change the semantics of the program.
当编译器不会改变程序的语义时，作为一种优化它可以随意地重新排序某些指令。
B-spline is the most popular method to present free-form curve and surface, and DP algorithm is the effective approach for solving discrete optimization problems.
样条方法是当前自由曲线曲面造型最为常用的方法，动态规划为解决离散最优化问题的有效手段。
Optimization problem with nonlinear inequality constraints is discussed. With the help of the generalized projection, a unified algorithm model with a series of free parameters is presented.
对非线性不等式约束最优化问题进行了讨论，借助广义投影建立求解问题的一个含系列自由参数的统一算法模型。
This paper presents a testability optimization method based on free binary decision diagram transformation.
提出了一种基于自由二元判决图转换的可测性优化方法。
Then, we consider a new filled function method with parameter free for solving general global optimization problems.
然后，对于一般结构的全局优化问题，我们给出了一个新的无参数的填充函数方法。
The optimization techniques, such as system installation, table space, construction design of base table and free space are discussed in this paper.
分析讨论了就系统安装、表空间及基表的结构设计、自由空间等方面的优化方法。
The compiler is free to take liberties with the ordering of instructions in the name of optimization.
编译器能够自由的以优化的名义去改变指令顺序。
Based on the combination method of free size and topology optimization, the best thickness distribution of the trunk lid inner panel assembly and the glue distribution are obtained.
采用自由尺寸与拓扑优化组合方式，得到该行李箱盖内板总成料厚和防震胶材料的最佳分布，并在此基础上设计出新的行李箱盖内板与铰链加强板结构。
This paper presents a communication optimization technique, named communication-free redundant computation partitioning, for parallel loop sequences.
针对并行循环套序列，提出一种冗余计算分割的通信优化方法。
Based on the existing problems in free-form surface reconstruction, surface digitizing and parametric optimization of random points are probed.
针对自由曲面重构建模中存在的问题，对曲面数字化及离散点参数优化技术进行了研究。
It USES the dynamic scale-free like network as the particle's optimization neighborhood. It proposes an improved PSO algorithm based on variety inertia weight and dynamic neighborhood.
将有向动态类无标度网作为粒子寻优邻域，提出一种基于变惯性权重及动态邻域的改进P SO算法。
It USES the dynamic scale-free like network as the particle's optimization neighborhood. It proposes an improved PSO algorithm based on variety inertia weight and dynamic neighborhood.
将有向动态类无标度网作为粒子寻优邻域，提出一种基于变惯性权重及动态邻域的改进P SO算法。
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