During the compiling, it is of importance to have code optimization reduce the operating time and loading space of target code.
编译过程中，代码优化能减少目标代码的运行时间和存储空间，具有重要作用。
Optimization controller for linear discrete-time state space model is designed.
设计出线性离散状态空间的最优控制器。
Three dimensional space is defined for the time, controller and Angle displacement. The method and scheme of optimization for subdivision control code are presented.
定义了时间、控制量及角位移三维空间，介绍了离散控制量的优化方法，并提出了离散量控制细分优化方案。
Meanwhile, the optimization also includes reducing the computational complexity of the query optimization of trimming, and query results combination which considered both space and time cost.
同时，优化中还包括降低计算复杂度的查询裁剪的优化，以及兼顾空间和时间开销的查询结果合并方式。
And put forward a space time integrated optimization model from the system integrated view in the end.
最后，运用系统思想研究了它的时空集成优化模型。
Then, an empty-car service time-space network is created, and a multi-stage optimization model of empty car distribution un.
基于空车服务时空网络的构建，采用动态规划方法提出了铁路局（公司）管内空车调配的多阶段策略优化模型。
The optimization of query sentences is to select operation sequence with minimal costs in terms of given query so as to make query a time-saving and space-saving process.
查询语句的优化就是对于给定的查询，选择代价最小的操作序列，使查询过程既节省时间，又节省空间。
The method researched resolves contradiction between real-time and accuracy in the operation space, and problem of minimal optimization about time.
研究出的规划方法可以很好解决在机器人操作空间规划时，实时性和精确性的矛盾，以及关节空间中的时间最小优化问题。
Hainan inbound tourism space-time structure and its optimization study is meaningful to international tourist island of Hainan.
海南入境旅游时空结构及其优化研究对于推进海南国际旅游岛建设具有重要意义。
In this paper, a computer program for determining near earthquake time and space parameters is designed, on the basis of memory gradient method for unconstrained optimization.
基于无约束最优化问题的记忆梯度法，本文设计了测定近震时空参数的计算机程序。
We consider both time and space as resources, adopted the ideas of pre-allocating the resources, to avoid the congestion, and achieve the optimization of the overall evacuation time.
这些静态的方法难以做到充分利用路网道路资源，容易造成交通堵塞，从而难以达到疏散时间最优的目的。
In order to identify the characteristic of the exo-atmospheric space target's RCS, the time-delay neural network (TDNN) with particle swarm optimization (PSO) training method is proposed.
针对空间目标的RCS特征识别的问题，提出了基于粒子群算法(PSO)训练的时延神经网络(TDNN)识别方法。
In order to identify the characteristic of the exo-atmospheric space target's RCS, the time-delay neural network (TDNN) with particle swarm optimization (PSO) training method is proposed.
针对空间目标的RCS特征识别的问题，提出了基于粒子群算法(PSO)训练的时延神经网络(TDNN)识别方法。
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