栅格数据处理中邻域型算法的并行优化方法

随着并行计算的成熟,众多数据密集型的栅格处理算法亟需利用并行计算来缩减执行时间.针对其中一类邻域型算法,构建了用于估计是时间代价的串行/并行时域模型,分析了各个组成的代价影响因素,提出了降低数据I/O代价的并行I/O方法和降低数据通信代价的光圈预测方法.实验证明,所提的两个优化方法可以使邻域型栅格处理算法的并行程序更加充分地利用并行计算资源,进而在一般并行化的基础上进一步提升其并行性能.     

基于定周期策略的多品种维修器材联合订购模型

针对维修器材需求的随机性特点,在考虑维修器材保障度约束的条件下,基于定周期策略建立多品种维修器材的联合订购模型并给出了优化算法.该算法采用蒙特卡罗随机模拟技术求解随机变量的期望值,结合遗传算法求出使库存费用最小的基本订购周期、各种器材的订购周期和最大库存量,并能满足预定的保障度要求.与传统单品种补充策略比较发现,联合补充策略对经费节省作用显著.     

新型涂层固相微萃取-气相色谱分析检测VX

以溶胶凝胶和交联固化相结合的方法制备了杯[4]芳烃开链冠醚／羟基硅油（Calix[4]open chain ether／OH-TSO）复合涂层固相微萃取探头,采用固相微萃取与气相色谱联用的方法测定水和土壤中的VX．并对自制探头的萃取效率、热稳定性、抗溶剂冲洗能力、使用寿命,保质期以及探头制备重现性等性能进行了系统研究．     

当代资本主义发展的历史趋势

西方资本主义在新的历史条件下 ,发生了许多有待认识的新的变化。本文坚持马克思主义社会基本矛盾分析方法 ,实事求是地分析了资本主义的新特点及其固有本质 ,揭示了当代资本主义灭亡的必然性和历史过程的长期性 ,对正确认识其发展历程有启示意义     

汽车火灾的成因防范措施和扑救方法

本文从违章方面分析了汽车火灾事故多发的原因,提出八条防范对策,并对扑救汽车火灾的原则方法进行了具体阐述。     

On the contribution of defense innovation to China’s economic growth

As the most knowledge-intensive industrial sectors, China’s defense industries are developing very fast. The present paper will explore the contribution of China’s defense innovation to its economic growth. Cobb–Douglas production function, integrating defense and non-defense stock in knowledge, is applied during the course. In addition, an input–output analysis of defense equipment procurement was done. Positive effect of China’s defense innovation on economic growth has been revealed by comparing the results from the two methods. And some suggestions are made to strengthen the effect.     

钛在各种介质中的电化学行为的研究

用动电位扫描法研究了钛材在含有不同氯离子浓度溶液中和含有ＰＯ３－４离子的氯离子溶液中的电化学行为．利用线性极化法,测得钛在上述介质中的腐蚀速率．实验结果表明,钛在上述介质中具有非常好的耐蚀性能．     

火箭发动机燃烧室内气体非定常流动数值模拟

应用新的ＰＩＳＯ算法对液体火箭发动机内非定常流动过程进行了数值模拟计算。算法采用一步隐式预测、两步显式校正完成每一时间层计算,而不是通常的多次迭代计算,因而大大缩短计算时间。     

Modeling and solution for the ship stowage planning problem of coils in the steel industry

We consider a ship stowage planning problem where steel coils with known destination ports are to be loaded onto a ship. The coils are to be stowed on the ship in rows. Due to their heavy weight and cylindrical shape, coils can be stowed in at most two levels. Different from stowage problems in previous studies, in this problem there are no fixed positions on the ship for the coils due to their different sizes. At a destination port, if a coil to be unloaded is not at a top position, those blocking it need to be shuffled. In addition, the stability of ship has to be maintained after unloading at each destination port. The objective for the stowage planning problem is to minimize a combination of ship instability throughout the entire voyage, the shuffles needed for unloading at the destination ports, and the dispersion of coils to be unloaded at the same destination port. We formulate the problem as a novel mixed integer linear programming model. Several valid inequalities are derived to help reducing solution time. A tabu search (TS) algorithm is developed for the problem with the initial solution generated using a construction heuristic. To evaluate the proposed TS algorithm, numerical experiments are carried out on problem instances of three different scales by comparing it with a model‐based decomposition heuristic, the classic TS algorithm, the particle swarm optimization algorithm, and the manual method used in practice. The results show that for small problems, the proposed algorithm can generate optimal solutions. For medium and large practical problems, the proposed algorithm outperforms other methods. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 564–581, 2015     

任意三角域上的光滑插值法

本文讨论了三角域和多边形域上的光滑函数在边界的法向导数和沿边界的方向导数的关系,得到了三角域和多边形域上C~1(C~2)插值的简化判别条件。提出了三角域上的一种C~2插值方法。最后,我们给出了误差估计和计算实例。