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unconstrained optimization中文是什么意思

  • 非线性最优化
  • 无约束优化

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  • 例句与用法
  • Global convergence of the non - quasi - newton method for unconstrained optimization problems problems
    基于非拟牛顿方法无约束最优化问题的全局收敛性
  • At the second part , nonmonotonic trust region method for unconstrained optimization is studied
    第二部分主要研究无约束最优化问题非单调信赖域法。
  • Algorithms based on trust regions have been shown to be robust for unconstrained optimization problems
    摘要信赖域方法是解无约束优化问题的有效的和可靠的方法。
  • Fourthly , multi - parameter control methods , super - memory gradient methods for solving sub - unconstrained optimization problems are investigated
    四是提出多参数控制算法和求解子问题的超记忆梯度算法。
  • Firstly , we simply introduce the scope , value and developement of the sparse quasi - newton method for unconstrained optimization problems
    第一章为绪论简要介绍稀疏拟牛顿法的提出,研究情况及研究价值。
  • A descent algorithm for solving unconstrained optimization is discussed . global convergence result is established with inexact line search
    摘要研究了求解无约束优化问题的一种共轭下降算法,并在非精确线搜索条件下证明了该算法的全局收敛性。
  • Nocedal and yuan suggested a combination of the trust region and line search method for unconstrained optimization . this mixed technique is called backtraking
    Nocedal和yuan提出了信赖域与线搜索两种技术相结合的方法,称为回代法( backtracking ) 。
  • The algorithm is based on a reformulation of the complementarity problem as an unconstrained optimization . it is proved that the algorithm is globally convergent
    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。
  • Lc1 unconstrained optimization problem was discussed in the second chapter , giving a new trust region method and proving its global convergence and superlinear convergence under some mild conditions
    给出了一个新的信赖域算法,并在一定的条件下证明了算法的全局收敛性和局部超线性收敛性。
  • Many classical testing functions of constrained optimization or unconstrained optimization to be taken as examples , experimental results show that the hybrid algorithm has excellent performance with higher accuracy and speed
    以若干经典的无约束和约束优化测试函数作为算例,验证了该混合算法的优越性。
  • 更多例句:  1  2  3  4
  • 推荐英语阅读
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Last modified time:Sat, 16 Aug 2025 00:29:56 GMT

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