unconstrained optimization
英 [ˌʌnkənˈstreɪnd ˌɒptɪmaɪˈzeɪʃn]
美 [ˌʌnkənˈstreɪnd ˌɑːptɪməˈzeɪʃn]
无约束最优化
双语例句
- This paper, based on BFGS method, presents an artificial neural network model for unconstrained optimization problems, and some stability properties of the neural network are discussed.
提出了一种基于BFGS算法的求解无约束优化问题的人工神经网络模型，并对该模型的稳定性作了理论分析。 - In this paper, a class of new descent algorithm is proposed to solve unconstrained optimization problems.
研究给出了一类新的求解无约束优化问题的下降算法。 - BFGS algorithm for structural static reanalysis of topological modification Nonmonotone Limited Memory BFGS Method for Large Scale Unconstrained Optimization
结构拓扑修改静态重分析的BFGS方法大规模无约束优化的非单调有限内存BFGS算法 - On the Global Convergence of Trust Region Algorithm for Semi-smooth Unconstrained Optimization
半光滑无约束优化信赖域算法的全局收敛性 - A new gradient descent algorithm for unconstrained optimization problem is proposed.
提出了一种新的无约束优化下降算法。 - A Nonmonotone Adaptive Trust Region Algorithm with Fixed Stepsize for Unconstrained Optimization Problems
带有固定步长的非单调自适应信赖域算法 - Trust region method is a kind of efficient methods to solve the general unconstrained optimization and its special situation, the nonlinear least squares problems.
对于一般的无约束最优化问题及其特殊情况非线性最小二乘问题而言，信赖域方法是一种有效的方法。 - BFGS Parallel Algorithm of Unconstrained Optimization Problems and Its Implementation
无约束最优化问题的BFGS并行算法与实现 - This paper puts forward the adaptive trust-region algorithm based on the conic model for unconstrained optimization.
本文提出了一个解线性等式约束优化问题的新锥模型信赖域方法。 - Nonmonotone Limited Memory BFGS Method for Large Scale Unconstrained Optimization
大规模无约束优化的非单调有限内存BFGS算法 - A Gradient Method for Large Scale Unconstrained Optimization
一种解大规模无约束优化问题的梯度方法 - Penalty function was added to system-level object function to convert unconstrained optimization into constrained optimization.
增加系统级罚函数，使系统级优化问题转化为无约束优化问题； - 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。 - A class of conjugate gradient methods for unconstrained optimization;
提出一种新的解大规模无约束优化问题的梯度法。 - Dai-Yuan Memory Gradient Method for Unconstrained Optimization Problem
求解无约束优化问题的Dai-Yuan记忆梯度法 - The paper proposes a nonmonotonic BFGS-trust-region algorithm for unconstrained optimization.
给出了一个解无约束最优化问题的非单调的新的BFGS校正的信赖域算法。 - Finally, wo present a descent method for solving VIP and study a global error bound for unconstrained optimization reformulation in order to discuss the convergence of itinerative method.
最后给出了一个求解的下降法，并考察了最优化问题的误差界问题，以分析叠代法的收敛性。 - Nonmonotone Trust Region Algorithm Based on the Conic Model for Unconstrained Optimization
基于锥模型的无约束优化问题的信赖域算法 - Electromagnetism-Like Mechanism Algorithm for Unconstrained Optimization Problem
求解无约束优化问题的类电磁机制算法 - A Filter-trust-region Algorithm for Unconstrained Optimization
一类无约束优化问题的信赖域过滤器算法 - A Conjugate Gradient Projection Algorithm for Mathematical Programs with Equilibrium Constraints A New Hybrid Conjugate Gradient Method for Unconstrained Optimization
互补约束均衡优化的一个共轭梯度投影法无约束优化问题的一种新杂交共轭梯度算法 - A proof on Trust Region Problems Arising from Unconstrained Optimization and Data Experiment; An inexact Newton affine scaling conjugate gradient path method for bound-constrained nonlinear systems
一个无约束信赖域梯度路径法的收敛性证明与数值试验有界约束非线性方程组的不精确牛顿类仿射共轭梯度路径方法 - The method first converted LSSVM to unconstrained optimization, and then used Newton optimization to solve the optimization problem iteratively.
首先把LSSVM优化问题转化为无约束化优化问题的形式，然后再采用牛顿优化法来迭代求解。 - By using a modified BFGS formula, a BFGS-type trust region method with line search technique for unconstrained optimization problems is proposed.
利用一个修正的BFGS公式，提出了结合线搜索技术的BFGS-信赖域方法，并在一定条件下证明了该方法的全局收敛性和超线性收敛性。 - Trust region algorithm is an effective algorithm for unconstrained optimization problems.
信赖域算法是求解无约束优化问题的一种有效的算法。 - The nonlinear l_1 problem is an important non-differentiable unconstrained optimization problem.
非线性l1问题是一个常见的无约束不可微优化问题，它经常出现在网络和系统设计等实际问题中。 - Y introducing an improvement on Powell's unconstrained optimization method, the authors propose an efficient constrained function method.
本文改进了Powell的无约束优化方法，提出了有效的约束函数法。 - The new method with monotone and non-monotone line search is produced to solve large-scale unconstrained optimization problems.
在此基础上给出了使用单调和非单调线搜索技术的解大规模无约束优化问题的算法。 - In this paper, we study two types of practical algorithm for unconstrained optimization problem.
本文研究了两类无约束最优化问题的实用算法，其中主要介绍了一种改进的子空间搜索算法和一种改进的混合优化算法。 - The algorithm is based on a reformulation of the complementarity problem as an unconstrained optimization.
在将互补问题转化为一个无约束优化问题的基础上，给出了一种求解互补问题的混合方法，证明了该算法的全局收敛性。