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寻找目标

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First, one. analyzes the eigenstates-from reachable sets and seeks the one which the target state belongs to. Then using the Grover iteration to amplify the probability amplitude of the desired eigenstate (the modul square of which is the probability of the corresponding eigenstate that the system will collapse to when it is measured). By measuring, the system will then collapse to the desired eigenstate with a probability of almost unity. Finally, one can use the admissible control to drive the system from the eigenstate to the target state.

该策略的核心思想是对本征态能控的系统,通过分析控制目标态与本征态的关系,寻找给定目标态所属的本征态可达集,然后利用量子非结构化搜索的Grover算法,将任意给定的系统初始态经过一定次数的Grover迭代,放大该本征态所对应的概率幅(概率幅的模方对应测量时波函数塌缩到对应本征态的概率),然后对迭代后的态进行一次测量操作,使系统以接近1的概率塌缩到所需的本征态(前面分析得到的本征态可达集所对应的本征态),最后用容许的控制将系统从该本征态控制到期望的目标态。

The cascading menu's biggest weakness, though, is its demand that you repeatedly hit a small target - a target which will disappear if you miss it, or even if you take the wrong path to it.

然而,层叠式菜单的一个最大缺点就是:在寻找内容的过程中,你需要不断点击一个个目标,如果错过其中的某一个,目标就会消失;或者如果寻找的路径不正确,就找不到目标内容。

The optimal and worst solutions of each objective function are obtained, and the solution with the earliest start-time under the fewest number is found. A series of noninferior solutions that have the earliest start-time are obtained after increasing the number of selected depots continually. The original model can be converted to search for a solution that has maximum approximation degree of positive-negative perfect point.

分别求出各个目标函数的最优解和最劣解,寻找使出救点个数为最优情况下使应急开始时间最早的解,在此基础上增加出救点的个数继续寻找,并将备选出救点集合缩小为运输时间小于上一次应急开始时间的出救点;得到一系列非劣方案后,对各目标函数按照具体情况赋予一定的权重,将原问题转化为求解使正负理想点接近度最大的非劣调度方案。

Innovatively searches the better clutter restrain method, and tries to solve the difficulties of low speed target detection. The major devotement of this dissertation as follows.

本论文主要研究了动目标检测并在SAR图像上定位技术,寻找性能良好的杂波消除方法是其关键,同时试图解决慢速目标的检测和多运动目标的联合检测这个难点。

A reference point of the objective value considered is introduced in the algorithm and it is generated in each iteration step to adapt to decision maker's information, which makes the solution space compressed.

该算法引入目标参考点,在算法的每一次交互步骤中,让决策者通过调整目标参考点来寻找满意解,并压缩了目标搜索空间。

The authors present a targets detection method based on the hierarchical clustering which constructs the similarity measuring function according the movement rule of stars and targets,finds the optimal separating hyperplane and classified amount by means of finding the inflexion of error square sum function,then distinguish the targets from stars and noises by two level hierarchical clustering.

提出了基于层次聚类的空间弱小目标检测算法,以星点到参考恒星之间的距离变化为依据,根据恒星和目标的运动特性构造相似性度量函数,通过寻找误差平方和曲线拐点的方法寻找最优分类曲面和分类个数,最后以两层复合分类将恒星、噪声和目标分离。

The question of searching characteristic points or straight lines on moving rigid body is decomposed into two relatively independent sub-questions. The first one is to evaluate the characteristic of points and straight lines on moving rigid body, whose mathematics model is a kind of special non-differential max-mini optimal problem with inequality constraints. By the method of Saddle-point Programming and maximum entropy, the problem can be transformed as a differential optimal problem with single objective. The second oner is to search approximative character points or straight lines on moving rigid body within design space, whose mathematic model is nonlinear and non-differential problem with multiple constraints.

本文将在运动刚体上寻找特征点或直线的优化问题分解为两个相对独立的子问题,一是对运动刚体上点或直线的特征性评定,其实质是平面曲线的圆度或直线度的评定问题,优化模型是以最大误差为最小作为优化目标的约束不可微的优化问题,本文采用鞍点规划和极大熵方法,将其转化为单目标可微优化模型;二是在设计空间内,寻找运动刚体上特征性评定指标最小的近似特征点或直线,其优化模型是非线性、多约束的不可微优化问题,本文提出用遗传算法和BFGS局部搜索法相结合来求解。

According to migration and accumulation model, fined that the fan body controls the pool scale and the unconformity or the fault plays the hydrocarbon migration path role and shading function, therefore, fan body directly contacted with the source rock is the exploration goal to find the pool of generation and accumulation hydrocarbon by itself, or the fan body communicated source rock with unconformity or fault is the structure-lithological pool.

根据成藏模式,发现扇体控制着油藏的规模,不整合或断层起着油气运移通道作用和遮挡作用,因此与烃源岩直接接触的扇体是寻找自生自储岩性油气藏的勘探目标,通过断层或不整合与烃源岩沟通的扇体是寻找构造—岩性油气藏的目标。

Let's say the second mechanism senses the water pressure in the feed pipe and then moves the knob so that it assigns a high level to the toilet when there is high water pressure and a lower level when the pressure is low.

第二个回路的工作,是为第一个回路寻找目标。比如说,第二个机制在感受到进水管的水压之后就会移动把手,以此给水箱分配一个水线高度,如果水压高,任务高度就高,反之就低。

The pathfinding character is not can look immediately immediately, this needs many patiences, everybody wants certainly very much to pay attention to the observation only then the line!

寻找目标人物不是立马就能马上看出来的,这需要很多的耐心,大家一定要多多注意观察才行啊!

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