- 更多网络例句与最速下降法相关的网络例句 [注：此内容来源于网络，仅供参考]
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The characteristics of the steepest descent method's small amount of computations and conjugate direction method's fast convergence combined, a conjugate vector base method for solving ill-conditioned linear equations was proposed.
结合最速下降法计算量小和共轭方向法收敛速度快的特点，提出了一种求解病态方程组的共轭向量基的方法。
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The normal hybrid genetic algorithms include genetic algorithm combined with steepest descent method and simulated annealing genetic algorithm.
常见的混合遗传算法有遗传算法与最速下降法相结合、遗传算法与模拟退火法相结合。
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In the meantime, it can be seen that the conjugate gradient method or steepest descent method is a special case of the mixed method.
同时也可以看到共轭梯度法与最速下降法仅仅是混合算法的特例。
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This paper illustrates various methods which are being used and being researched both home and overseas at the present time, such as the method of steepest descent, dynamic programming method, expert system method and genetic algorithm etc.
分析了低空突防路径规划应满足的条件和特点，阐述了目前国内外正在应用和研究的几种路径规划方法：最速下降法、动态规划法、专家系统法和遗传算法等的研究现状和发展方向。
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Matlab optimization learning process: including the steepest descent method, golden section method, such as curve fitting.
详细说明：最优化学习的Matlab程序：包括最速下降法，黄金分割法，曲线拟合等。
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At same time simplex method,nonlinear least-squaremethod and DFP and BFGS and so on were used to design three-layerand five-layer coatings.
同时利用单纯形法、最小二乘法、二次规划法、最速下降法、DFP法、和BFGS法优化设计了三层增透膜系、五层膜系。
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The choice of step-length strongly affects the convergence rate of the Gradient Method, the classical Gradient Method—the method of steepest descent converges rather slowly in most cases, the poor behavior of the method is due to the optimal choice of step-length.
步长的选取对梯度法的收敛速度影响非常大，经典的梯度法-最速下降法在大多数情况下收敛得相当慢的原因在于最优步长的选取。
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Until recently, the convergence of the Rosen"s arithmetic has been proved. The projection gradient method is the generalization of Steepest decent method to constraint problem. So it does have a faster convergence speed that the fastest decent method . To solve the problem, many researchers have generalizat the well-developed optimization with unconstraint to the Rosen"s gradient method. The conjugate gradient method is one of success to solve the problem.
投影梯度法是最速下降法对约束问题的推广，因此没有较快的收敛速度，为了解决这个问题很多中外学者把发展得比较成熟的无约束最优化算法作类似的推广，其中共轭梯度方法是近年发展的很成熟的方法，它具有计算简单，算法结构好，计算量少，具有良好的收敛性等优点，而Rosen投影梯度法的提出使寻找下降方向变得简单。
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We transforms the special linear system of strict inequalities into three kinds of minimax problems, and then solves it with the aggregate function method assisted with some corresponding method. At last the numerical experiment is done under the environment of matlab.
我们将其转化为三种形式的Minimax问题，对转化后的三种Minimax问题，用凝聚函数法分别将其目标函数光滑化，并分别用带Armijo不精确线搜索的最速下降法、带自适应参数修正的凝聚函数法以及既约梯度法来求解。
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Fist, comprehensive analysis on the current study on data processing is made, and characters of Newton methods about nonlinear surveying and mapping data processing are discussed, and then new solutions to parameters estimate with multi-sources, multi-types, multi-dimension, multi-precision bynonlinear least square are presented such as PSB algorithm, digital continuation and generalized digital continuation algorithm, cone model method, tensor analysis method, GCMA(mixed algorithm of gradient method and conjugate gradient method), combining algorithm based on Newton method and gradient method and confidence region and so on, and a new fast difference iterative algorithm is proposed towards parameters estimation containing random parameters in nonlinear models, and a new solutions to nonlinear least squares surveying and mapping adjustment by parameters estimation both considering the random and nonrandom parameters is presented after studying on nonlinear data processing in deformation monitoring, and at last primary analysis on error propagation of spatial data is made and approximate error propagation formula and error analysis formula to length and area are proposed.
首先比较全面分析了目前测量数据处理理论的研究现状，讨论了牛顿类方法在处理非线性模型参数估计方面的特点，研究并给出了求解多源、多类型、多维、多精度、非线性最小二乘测量平差参数估计的若干种新方法，这包括PSB算法、数值延拓及其广义数值延拓算法、锥模型法、张量分析法、基于最速下降法和牛顿法的组合算法、基于最速下降
- 更多网络解释与最速下降法相关的网络解释 [注：此内容来源于网络，仅供参考]
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steepest descent method：最速下降法
最速下降法(steepest descent method)由法国数学家Cauchy于1847年首先提出. 在每次迭代中,沿最速下降方向(负梯度方向)进行搜索,每步沿负梯度方向取最优步长,因此这种方法称为最优梯度法. 最速下降法是一种最基本的算法,
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steepest descent method：最陡下降法; 最速下降法
stationary point 驻点 | steepest descent method 最陡下降法; 最速下降法 | Stochastic Optimization:随即最优化
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method of steepest descent：最速下降法
同"贪心类"算法(如最速下降法)(Method of Steepest Descent)比较,基于Metropolis接受准则的模拟退火法可以避免搜索过程陷入局部极小,并最终趋于问题的全局最优解.
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Steepest descent：最速下降法
Statistical table, 统计表 | Steepest descent, 最速下降法 | Stem and leaf display, 茎叶图
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Steepest descent：最速下降
最速上升|steepest ascent | 最速下降|steepest descent | 最速下降法|method of steepest descent
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method of steepest ascent：最速上升法
method of runge kutta type 朗格 库塔型的方法 | method of steepest ascent 最速上升法 | method of steepest descent 最速下降法
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the method of steepest descent：最速下降法
the exit condition 退出条件 | the method of steepest descent 最速下降法 | transpose 转置
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saddle point method：鞍点法,最速下降法
saddle point game 鞍点对策 | saddle point method 鞍点法,最速下降法 | saddle point theorem 鞍点定理
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Steepest descent：最速下降
最速上升||steepest ascent | 最速下降||steepest descent | 最速下降法||method of steepest descent
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steepest ascent：最速上升法
最佳倾倒角||optimum pulse angle | 最速上升法||steepest ascent | 最速下降法||steepest descent