conjugate direction
英 [ˈkɒndʒəɡeɪt dəˈrekʃn]
美 [ˈkɑːndʒəɡeɪt dəˈrekʃn]
网络 共轭方向
双语例句
- Prestack three-term inversion based on conjugate direction substitution and realization
基于共轭方向置换的叠前三参数反演方法及其实现 - Unconstrained optimization methods include gradient, conjugate direction, Newton, and quasi-Newton methods.
无限制最适化方法，包括梯度法、共轭方向法、牛顿法和拟牛顿法。 - The conjugate direction method is one between the gradient method and Newton methods.
共轭梯度法是最典型的共轭方向法。 - The path is defined as linear combination of a sequence of conjugate directions which are obtained by applying conjugate direction method to the approximate quadratic function in the null space.
将共轭方向法应用于零空间中的近似二次模型，得到一组共轭方向序列，共轭方向序列生成了共轭梯度路径。 - An efficient conjugate direction method for unconstrained function minimization
一种有效的求解无约束优化问题的共轭方向法 - The complete physical model and mathematical expressions were developed for axial or radial turbine optimum design. By using the SUMT method, the extreme value problem with inequality constraint conditions was turned into optimum design problem without constraints, and was calculated by DFP conjugate direction method.
对径、轴流涡轮的最优化设计命题建立了完整的物理模型和数学表达式，采用SUMT外点法将含有不等式约束条件极值问题处理成无约束最优化设计问题，并用DFP共轭方向法求解。 - Computational Formula for Induced Normal Curvature of Two Conjugate Tooth Surfaces along Normal Direction of Contact Line
两共轭齿面沿接触线法向的诱导法曲率计算公式 - Three optimization methods, namely, Hooke-Jeeves modular vector search method, Powell conjugate direction search method, and random direction search method, have been chosen and improved. And three programs are given.
本文选用及改进了Hooke-Jeeves的模矢搜索法、Powell的共轭方向法及随机方向搜索法，相应编制了3个优化设计程序。 - A novel conjugate direction method for optimization is proposed Using it in the quadratic programming with equality constraints, an algorithm different from Wolfe's is developed.
本文给出求解极小化问题的一类共轭方向算法，将此算法用于等式约束二次规划（QEP），得到不同于Wolfe算法的另一种求解QEP方法。 - To reduce the computational complexity and the power consumption of motion estimation, several fast block-matching algorithms, such as 2-D logarithmic search, three-step search, and conjugate direction search, have been proposed.
为了减少计算的复杂性和运动估计的功耗，业界提出了许多快速算法，例如2-D的对数搜索，三步搜索，联合搜索。 - In this paper, a method for solving unconstrained optimization problems, which is called "proper conjugate direction method", is developed.
本文提出了一种求解无约束最优化问题的方法，称之为“恰当共轭方向法”。 - The effect of the substitution of conjugate and orthogonal directions for conjugate directions on search direction system is discussed.
讨论了用共轭正交方向替换共轭方向对搜索方向组的影响； - An Unconstrained Optimization Technique& Proper Conjugate Direction Method
一种无约束最优化方法&恰当共轭方向法 - Conjugate Curves of Same Direction and Two Kinds of Boundary Points
同向共轭曲线与两类界点 - Conjugate direction algorithm is an important algorithm in the theory of optimization. Determining conjugate vectors is a key in conjugate direction algorithm.
共轭方向算法是非线性最优化理论中一类重要的算法，确定共轭向量是共轭方向算法的关键。 - The conjugate direction method with pattern search in subspace
带有子空间模式搜索的共轭方向法 - Based on the restart conjugate gradient method by Powell, the current point's Newton direction has been con-structed according to the information of second derivative in the course of conjugate-gradient calculation, which produces Conjugate-Gradient-and-Newton Hybrid ( CGNH) method.
在Powell重启动共轭梯度法基础上，利用共轭迭代过程产生的二阶导数信息，构造出当前点的牛顿方向，从而得出一类快速共轭梯度法。 - Quantitative Analysis for Crack Signals Based on Search Approximation in the Conjugate Direction
共轭方向搜索逼近的裂纹信号定量分析方法 - On A New Convergence of Conjugate Direction Algorithm
关于一个新的共轭方向算法的收敛性讨论 - Variable metric conjugate direction method for linear constrained optimization problem
线性约束下的变尺度共轭方向法 - The traditional gradient based optimization methods as steepest descent method, Newton method and conjugate direction method build on rigorous mathematical foundation, high computational efficiency, reliable procedures and have been widely used in various fields for many years.
最速下降法、牛顿法和共轭方向法等基于梯度的优化算法具有完善的数学基础，具有计算效率高、可靠性强和比较成熟等特点，是一类具有代表性且广泛应用的优化算法。 - Based on the primal-dual interior point method, this method uses the preconditioned conjugate gradients to compute the search direction.
该方法基于原始对偶内点法，并使用预处理共轭梯度计算搜索方向。 - It only uses current information of gradient and conjugate direction to determine step length, and can ensure global convergence to zero of the resulting sequence of gradient norm.
它仅利用当前的梯度和共轭方向信息来决定步长，却可以保证整个梯度模序列收敛于0。 - To ensure global convergence and superlinear convergence rate of the conjugate gradient algorithm, we introduce the n+ 1 step return method. It can ensure that the each step is descent direction.
在共轭梯度法改进中提出n+1步返转策略，保证每步都是下降方向，收敛速度提高到超线性。 - Conjugate direction method only needs to use the information of the first derivative, but it overcomes the shortcoming of the steepest descent method in the slow convergence and avoids the defects of Newton method in storaging and computing the second derivative.
它仅需要利用一阶导数信息，既克服了最速下降法收敛慢的缺点，又避免了存储和计算Newton法所需要的二阶导数信息。 - Conjugate direction method comes from the study of the minimization problem of the quadratic function, but it can be extended to deal with the minimization problem of non-quadratic function.
共轭方向法是从研究二次函数的极小化产生的，但是它可以推广到处理非二次函数的极小化问题。 - On the basis of this new line search, a new spectral PRP conjugate gradient algorithm is developed for solving unconstrained optimization problems, where the search direction is sufficiently descent.
结合新的线搜索规则，本文设计了一类求解无约束优化问题的具有充分下降性的谱PRP共轭梯度算法。