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unconstrained optimization meaning in Chinese

非线性最优化
无约束优化

Examples

  1. Meanwhile , we point out the privilege and defective of cim . the fourth chapter is the main body of this paper . we explore how to apply the cim to solve unconstrained optimization problems effectively
    第四章是本文的主要部分,探讨了锥模型信赖域子问题的求解及不完全锥函数插值模型算法的数值实现。
  2. In the first chapter , we simply review origin , development and characteristics of nonlnear conjugate gradient method for solving unconstrained optimization , introduce some important formulas of the method
    在第一章中,我们简要回顾了求解无约束优化的非线性共轭梯度法的产生、发展和特点,介绍了这种方法的一些重要形式。
  3. In unconstrained optimization , we deal with the standard problem of finding the minimum of a function f : rn - r . if we assume that the function is twice continuously differentiable , many methods can be applied to find the minimum
    在无约束最优化中,考虑寻找f : r ~ n r的极小点。假设f是二次连续可微的,可以有许多方法寻找它的极小点。
  4. An algorithm of solving nonlinear coupled equations is given which transforms the solving problem to unconstrained optimization problem and the coupled equations are solved by a genetic algorithm and newton iteration
    同时还给出了一种求解非线性方程组的算法,即将非线性方程组的求解问题转化为带约束的优化问题,应用遗传算法和牛顿迭代法求解。
  5. The topics covered in this course include : unconstrained optimization methods , constrained optimization methods , convex analysis , lagrangian relaxation , nondifferentiable optimization , and applications in integer programming
    这门课程的主题包括:无限制最适化方法,限制最适化方法,凸分析,拉格朗日松弛法,不可微分函数最适化,以及在整数规划上的应用。
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