查询词典 conditional gradient method

In the procedure of gymnastics athletes' U.C., the functions of the conditional ability performing now are more and more important in the competitive abilities of the floor exercises; besides the sport technique and conditional ability, one should pay attention to the figure in the pommel horse; the importance of the conditional ability is far above the sport technique , and the requirements of the figure are also high in the rings; the characters of competitive abilities of the vaulting horse are similar to those of the floor exercise, in which conditional ability plays a very important role; the requirements of the sport technique in the parallel bars are above those of the conditional ability; the requires of sport technique in the horizontal bar are strikely above those of other individual events, and the psychological ability is above the conditional ability; uneven bars contains much techniques, which means, sport technique is above the conditional ability; balance beam also contains much techniques and requires the least in the conditional ability in women's events, but this individual event demands psychological ability badly. Therefore one should emphasize on the cultivation the psychological ability when U.C. is applied to the balance beam.

体操各单项在实施非衡结构补偿过程中，自由体操各竞技能力中运动素质发挥着越来越大的作用；鞍马注重运动技术和素质外，还应注意形态要求；吊环中运动素质的重要程度远大于运动技术，对形态的要求也很高；跳马与自由体操的竞技能力特点类似，运动素质的作用非常大；双杠对运动技术的要求高于运动素质；单杠对运动技术的要求明显高于其它诸项要素，对心理能力的要求甚至略高于运动素质；高低杠技术性很强，对运动技术的要求高于运动素质；平衡木技术性较强，对运动素质的要求不如女子其他各项高，但对心理能力的要求非常高，在实施非衡补偿时，应注意对心理能力的培养。

Among used machine learning methods, the gradient descent method is widely used to train various classifiers, such as Back-propagation neural network and linear text classifier. However, the gradient descent method is easily trapped into a local minimum and slowly converges. Thus, this study presents a gradient forecasting search method based on prediction methods to enhance the performance of the gradient descent method in order to develop a more efficient and precise machine learning method for Web mining.However, a prediction method with few sample data items and precise forecasting ability is a key issue to the gradient forecasting search method. Applying statistic-based prediction methods to implement GFSM is unsuitable because they require a large number of data items to model a prediction model. In the contrast with statistic-based prediction methods, GM(1,1) grey prediction model does not need a large number of data items to build a prediction model, and it has low computational load. However, the original GM(1,1) grey prediction model uses a mathematical hypothesis and approximation to transform a continuous differential equation into a discrete difference equation in order to model a forecasting model.

其中梯度法是一个最常被使用来实现机器学习的方法之一，然而梯度法具有学习速度慢以及容易陷入局部最佳解的缺点，因此，本研究提出一个梯度预测搜寻法则(gradient forecasting search method， GFSM)来改善传统梯度法的缺点，用来提升一些以梯度学习法则为基础的分类器在资讯探勘上的效率与正确性；而一个所需资料量少、计算复杂度低且精确的预测模型是梯度预测搜寻法能否有效进行最佳解搜寻之关键因素，传统统计为基础之预测方法的缺点是需要较大量的数据进行预测，因此计算复杂度高，灰色预测模型具有建模资料少且计算复杂度低等优点，然而灰色预测理论以连续之微分方程式为基础，并且透过一些数学上的假设与近似，将连续之微分方程式转换成离散之差分方程式来对离散型资料进行建模及预测，这样的作法不尽合理，且缺乏数学理论上的完备性，因为在转换过程中已经造成建模上的误差，且建模过程仅考虑相邻的两个资料点关系，无法正确反应数列未来的变化趋势。

In Salsola passerina -Reaumuria soongorica community, the first ordination axes explains the salinization gradient, along the order of Caragana tibetica community,Salsola passerina-Oxytropis aciphylla community,and Reaumuria soongorica-Salsola passerine community,soil alkalization increases. The second ordination axis explains soil structure gradient, along the order of Caragana tibetica community, Reaumuria soongorica-Salsola passerina community and Salsola passerina community, soil texture becomes coarser. In the Stipa breviflora-Stipa grandis community, the first ordination axis indicates the soil water gradient, and the second ordination axes explains hydrothermal coupling gradient. In the Prunus mongolica-Ulmus glaucescens community, the first ordination axis explains the soil pH gradient, along the order of Ulmus glaucescens-Prunus mongolica community, Prunus mongolica-Potentilla fruticosa community, and Potentilla fruticosa-Prunus mongolica community, soil pH value reduces. The second ordination axis explains soil structure gradient, along the order Prunus mongolica-Ulmus glaucescens community, and Prunus mongolica-Potentilla fruticosa community, the contents of silt and clay increase, and soil texture suggests a fine trend.

在珍珠猪毛菜-红砂群落，第一排序轴反映了土壤盐碱化梯度，沿着藏锦鸡儿群落—珍珠猪毛菜、猫头刺群落—珍珠猪毛菜、红砂群落序列，土壤盐碱化程度不断增强；第二排序轴则反映了土壤结构梯度，沿着藏锦鸡儿群落—珍珠猪毛菜、红砂群落—珍珠猪毛菜、猫头刺群落序列，土壤质地逐渐粗化；在短花针茅-大针茅群落，第一排序轴反映了土壤水分梯度，第二排序轴反映了海拔梯度上的水热组合梯度；在蒙古扁桃-灰榆群落，第一排序轴反映了土壤pH梯度，沿着灰榆、蒙古扁桃群落—蒙古扁桃、金露梅群落—蒙古扁桃群落序列，土壤pH值逐渐下降；第二排序轴主要反映了土壤结构梯度，沿着蒙古扁桃群落—灰榆、蒙古扁桃群落—蒙古扁桃、金露梅群落序列，土壤中粉粒、粘粒含量逐渐增加，土壤质地呈细化趋势。

In Salsola passerina-Reaumuria soongoriea community, the first ordination axes explains the salinization gradient. along the order of Caragana tibetica community, Salsola passerina-Oxytropis aciphylla community, and Reaumuria soongorica-Salsola passerine community, soil alkalization increases. The second ordination axis explains soil structure gradient, along the order of Caragana tibetica community, Reaumuria soongorica-Salsola passerina community and Salsola passerina community, soil texture becomes coarser. In the Stipa breviflora-Stipa grandis community, the first ordination axis indicates the soil water gradient, and the second ordination axes explains hydrothermal coupling gradient. In the Prunus mongolica-Ulmus glaucescens community, the first ordination axis explains the soil pH gradient, along the order of Ulmus glaucescens-Pnuius mongolica community, Prunus mongolica-Potentilla fruticosa community, and Potentilla fnuicosa-Prunus mongolica community, soil pH value reduces. The second ordination axis explains soil structure gradient, along the order Prunus mongolica-Ulmus glaucescens community, and Prunus mongolica-Potentilla fruticosa community, the contents of silt and clay increase, and soil texture suggests a fine trend.

在珍珠猪毛菜－红砂群落，第一排序轴反映了土壤盐碱化梯度，沿着藏锦鸡儿群落－珍珠猪毛菜、猫头刺群落－珍珠猪毛菜、红砂群落序列，土壤盐碱化程度不断增强；第二排序轴则反映了土壤结构梯度，沿着藏锦鸡儿群落－珍珠猪毛菜、红砂群落－珍珠猪毛菜、猫头刺群落序列，土壤质地逐渐粗化；在短花针茅－大针茅群落，第一排序轴反映了土壤水分梯度，第二排序轴反映了海拔梯度上的水热组合梯度；在蒙古扁桃－灰榆群落，第一排序轴反映了土壤pH梯度，沿着灰榆、蒙古扁桃群落－蒙古扁桃、金露梅群落－蒙古扁桃群落序列，土壤pH值逐渐下降；第二排序轴主要反映了土壤结构梯度，沿着蒙古扁桃群落－灰榆、蒙古扁桃群落－蒙古扁桃、金露梅群落序列，土壤中粉粒、粘粒含量逐渐增加，土壤质地呈细化趋势。

Furthermore, the first-order optimality condition and its equivalent reformulations for generalized semi-infinite max-min programming with a non-compact set are presented using the lower-Hadamard directional derivative and subdifferential.2. Chapter 3 studies the gradient-type methods for unconstrained optimization problems. Section 1 proposes a new class of three-term memory gradient methods. The global convergence property of the method is established. Furthermore, in order to improve the convergence property of the method, a new class of memory gradient projection methods is presented with the property that the whole sequence of iterates converges to a solution to the problem under the conditions such as pseudo-convexity and continuous differentiability of objective function. In section 2, two new classes of methods, called gradient-type method with perturbations and hybrid projection method with perturbations, are proposed. In these methods, non-monotone line search technique is employed, which makes them easily executed in computer.

第3章研究了无约束优化问题的梯度型算法，第1节提出了一类新的三项记忆梯度算法，讨论了算法的全局收敛性，进一步提出了一类新的具有更好收敛性质的记忆梯度投影算法，并证明了该算法在函数伪凸的情况下具有整体收敛性，第2节在非单调步长搜索下提出了带扰动项的梯度型算法及其混合投影算法，这两类算法的一个重要特征就是步长采用线搜索确定而不象许多文献中那样要求步长趋于零，这样更容易在计算机上实现，在较弱的条件下证明了这些算法的全局收敛性，数值算例表明了算法的有效性。

In chapter 2 we propose a linear equality constraint optimization question , the new algorithm is combined with the new conjugate gradient method(HS-DY conjugate gradient method)and Rosen"s gradient projection method , and has proven it"s convergence under the Wolfe line search.In chapter 3 we have combined a descent algorithm of constraint question with Rosen"s gradient projection, and proposed a linear equality constraint optimization question"s new algorithm, and proposed a combining algorithm about this algorithm, then we have proven their convergence under the Wolfe line search, and has performed the numerical experimentation.

在第三章中我们将无约束问题的一类下降算法与Rosen投影梯度法相结合，将其推广到线性等式约束最优化问题，提出了线性等式约束最优化问题的一类投影下降算法，并提出了基于这类算法的混合算法，在Wolfe线搜索下证明了这两类算法的收敛性，并通过数值试验验证了算法的有效性。

The results indicate that conditional EVT is superior to other models;conditional distribution model is superior to conditional normal model;conditional EVT for confidence ...

结果表明，条件EVT比其它模型的测度效果好；条件t分布模型优于条件正态分布模型；置信水平为99%的条件EVT和置信水平为95%的条件t分布模型，分别是测度上证A、B股市场风险效果最好的模型。

Limitations of Shannon's information theory and information definition are analyzed from new angles. It is pointed out that they didn't consider the reliability, completeness and other characteristics of information, and the naming of conditional entropy is not proper. The correct naming of Shannon's "conditional entropy" should be weighted average conditional entropy. Examples are given to illustrate the conditional entropy maybe increased, so Shannon's definition of information is not absolutely correct.

从新的角度指出了香农信息论和信息定义的局限性，指出了它没有考虑信息的可靠性，完备性等特点，指出条件熵的命名不恰当，香农的"条件熵"应该称为加权平均条件熵，并且举例证明了条件熵可能增加，进而香农信息定义中的不确定性的减少也不是绝对的。

The conditional symmetry instability is the intermediate process between the stable and instable states of the atmosphere. The evolution of the atmosphere from the stable to unstable state or from unstable to stable state comes through two stages. The convective-symmetric instability circulation is related with the state and type of the instability. When the conditional instability lies in the lower level and conditional symmetric instability in the upper level, the circulation will have vertical updrafts in the lower level and slantwise updrafts in the upper level. The release of conditional symmetric instability gives rise to a mesoscale rain belt.

结果表明：条件对称不稳定是大气稳定状态和条件不稳定状态之间的中间纽带，大气由稳定向不稳定或者由不稳定向稳定的演变均通过条件对称不稳定来实现；对流对称不稳定环流的形成与不稳定层的配置有关，当低层为条件不稳定而高层叠加深厚的条件对称不稳定时，对流对称不稳定环流低层出现垂直上升气流，高层出现范围较广的倾斜上升气流，对称不稳定能量释放产生中尺度云带。

Based on a lot of experiment results, a conclusion is drawn: comparing with other factors, the performance of branch handling strategy is the key limits of processor to exploit the instruction level parallelism existed in nonscientific code, cache miss have severe effect on superscalar processor's performance when it runs scientific code. Second, in order to reduce the branch penalty and improve the performance of superscalar processor, a new branch handling strategy—a classification based hierarchical branch handling strategy, CHBHS is proposed. It first expands the traditional processor architecture to support multiple condition code, conditional execution and Mbranch instruction, as a result, compiler can reduce the number of static conditional branch when the code is generated. Then, CHBHS tries to use the best suitable mechanism to deal with different branch base on their different behavior. CHBHS can predict the target address of unconditional branch, subroutine call and conditional branch by buffering their target address in branch target buffer, a newly proposed high efficient return address stack is used to reduce the penalty of subroutine return instruction, a new Counter Register Stack is also proposed to reduce the penalty of loop-closing branch to zero, and dynamic branch predictor is incorporate with branch target buffer to predict the outcome of conditional branch.

基于上述结论，为了尽量消除转移指令对处理器开发指令级并行性能力的影响，进一步提高处理器性能，在详尽分析目前已存在的转移处理策略的特点与局限性的基础上，首次提出了一种新的转移处理策略即基于分类的层次转移处理策略CHBHS(Classification Based Hierarchical Branch Handling Strategy)，它首先通过扩展传统的体系结构，支持多条件码、条件式执行及多分支转移技术，以使编译程序在进行代码生成时可尽量少生成条件转移指令，从而减少静态条件转移指令的数目；其次，基于不同的转移指令的行为不同这一事实，提出了对不同的转移指令采用不同的机制进行处理的思想，即对无条件转移指令和函数调用指令以及条件转移指令的目标地址，采用转移目标缓冲器来预测，对于函数返回指令，采用所提出一种的高效返回地址栈来预测其目标地址，对于大多数循环控制转移指令，采用所提出的Counter Register Stack来将其所可能带来的损失减少为0，对于其他的条件转移指令采用动态预测机制来预测其方向。

Metrorrhagia is also gynaecological problems of common diseases.

崩漏是妇科常见病也是疑难症。

WordFTP gives you the convenience and timesaving you need.

wordftp让您的方便和省时您所需要的。