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1)  nonlinear minimization
非线性最小化
1.
Because the obtained condition is not a strict condition of LMI,the nonconvex feasible problem is transformed to the nonlinear minimization problem,the algorithms for solving the gains of state feedback controller and state observation are obtained.
由于得到的条件不是严格的线性矩阵不等式条件,将不具有严格线性矩阵不等式条件的非凸可行解问题转化为具有严格线性不等式的非线性最小化问题,得到了求解状态反馈控制器增益和状态观测器增益的算法。
2)  constraint nonlinear minimization
约束非线性最小化
3)  nonlinear least square optimization
非线性最小二乘优化
4)  nonlinear least square
非线性最小二乘
1.
Implementation of nonlinear least square with global convergence in Forstat
全局收敛的非线性最小二乘在Forstat中的实现
2.
The Gauss-Newton method is applied to solve the nonlinear least square equations and a simple and applicable iterative formula is deduced, which is locally convergent and divergent sometimes.
介绍了采用非线性最小二乘方法回归乙烯深度氧化反应动力学方程。
3.
Through transferring solution procedure,the problem was inverted into nonlinear least square optimization process with constraint conditions in two stages using function lambertw and function lsqnonlin.
对生态学领域的高精度参数确定问题提出了一种解决方案,结合实例,利用肖维奈特准则进行回归分析筛选数据,利用MATLAB工具中vpa和dlmwrite函数来保证数据传递的精度,并变换求解格式利用lambertw函数和lsqnonlin函数将问题转化为带约束条件的非线性最小二乘两级优化过程加以解决。
5)  non-linear least squares
非线性最小平方
6)  nonlinear least squares
非线性最小二乘
1.
Algorithm of nonlinear least squares adjustment of any plane networks with coordinates computed automatically;
任意平面网坐标自动解算的非线性最小二乘平差算法
2.
A new newton iterative algorithm for solving nonlinear least squares problem;
一种新的求解非线性最小二乘问题的牛顿迭代算法
3.
Unified model and ill-posed property of numerical iterative formula for solving nonlinear least squares problem;
非线性最小二乘问题数值迭代法的统一模型及其不适定性
补充资料:非线性最小二乘拟合
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性质:用最小二乘法拟合非线性方程。有些变量之间的非线性模型,通过变量变换可以化为线性模型,此称为外在线性。而有些变量之间的非线性模型,通过变量变换不能化为线性模型,通称为内在非线性。对于非线性模型y=f(ξ,θ)+ε,其残差平方和。S(θ)是θ的函数,当模型关于θ是非线性的,正规方程关于θ也是非线性的。基于使残差平方和s(θ)达到极小的原理求出θ的估计值,拟合非线性回归方程。

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