The query functionality is a valid convenience feature of the product, but it is not backed by all the sophisticated query optimizers found in top-end databases. 查询功能是产品的一个便捷特性,但它不受高端数据库中所有高级查询优化器的支持。
It also includes a number of customized rules and optimizers that can be applied to the conversion process. 它还包括大量可以应用到转换过程中的自定义规则及优化器。
The optimizers are targeted to create new interactive items ( check boxes, fields) on the form based on static items ( labels, lines) on the PDF and align existing items ( labels or fields) on the form. 使用优化器可以基于PDF中的静态项(标签、行)在表单中创建新交互项(复选框、字段),并对齐表单中的现有项(标签或字段)。
It's now possible to watch the JRuby optimizers and JIT do it's work. 现在,开发者可以察看JRuby的优化器和JIT的工作。
Optimal design of plate structures with discrete variables based on particle swarm optimizers 基于粒子群算法的板结构离散优化设计
In this seminar we consider the challenges that people working on micronverters and DC power optimizers are facing. 我们将在这场研讨会中探讨使用微转换器和直流电源优化器时所面临的挑战。
Allowance of the use of corresponding subspace optimizers in different disciplinary analysis; 允许在不同学科分析模块中应用不同子空间优化器;
The limitations of GAs as function optimizers are analyzed and the important role of evolvability during the evolutionary process is discussed. 分析了传统遗传算法作为函数优化器在宏观进化机制上的局限性,讨论了群体的可进化性在函数优化中的作用。
The particle swarm optimizers algorithms find optimal regions of complex search space through the interaction of individuals in a population of particles. 算法通过微粒间的相互作用发现复杂搜索空间中的最优区域。
Study of Particle Swarm Optimizers Based on Population Entropy and Structure 基于种群熵和种群结构的粒子群算法研究
Particle swarm optimizers are a stochastic global optimization technique. The particle swarm algorithms find optimal regions of complex search spaces through the interaction of individuals in a population of particles. 粒子群优化(PSO)算法是一类随机全局优化技术,PSO算法通过粒子间的相互作用发现复杂搜索空间中的最优区域。
Chapter Three aims at analyzing optimal relevance and discussing ad headlines as ostensive stimuli and relevance optimizers. 第三章以关联原则为出发点,总结出广告标题是广告交际中的明示刺激,是实现交际目的的最佳关联手段及可借助标题实现最佳关联的四种方式:简明:包含充足新信息;
As one kind of stochastic algorithm, PSO has relatively lower searching efficiency than gradient based optimizers, which limits its common application in practical engineering problems. 此外,粒子群算法作为一种启发式的随机搜索算法,相比于传统基于梯度的优化算法,求解效率相对较低,因此在实际优化问题中的应用仍存在一定的局限性。