病态方程组

病态方程组的分块迭代法及其在GPS整周模糊度估计中的应用

Iteration Method in Blocks and Its Applications in the Estimations of the Whole Period Fuzzy Measure of GPS

根据GPS绝对定位的基本方程，给出了主成分解的形式及消除病态方程组的ε分解解算方法。

This paper presents the decomposition forms of main component and calculation method of decomposition to remove ill-conditioned system of equation according to basic equation of GPS absolute positioning .

然后采用施加了平滑度约束的Tikhonov正则化方法求解这一病态方程组。

The ill-posed equations are solved by using Tikhonov regularization .

采用Schur补和共轭梯度法来实现方程组的并行求解，解决岩土有限元病态方程组的求解。

We adopt Schur complement and preconditioning conjugated gradient ( PCG ) method to fulfill parallel solution of linear equations with bad condition number .

结合完全Cholesky分解预处理和最小二乘方法，对病态方程组进行有效求解，优化了传递路径分析法，更好的求出主要的噪声与振动激励源。

I combine the incomplete Cholesky decomposition pre-processing and least squares methods to solve pathological equations which can make TPA better to find the noise and vibration excitation source .

以带权的正交函数作为基函数，克服了滑动最小二乘法容易形成病态方程组的缺点。

And the complex variable moving least-square approximation based on the orthogonal basis function is discussed in detail .

最后给出改善病态方程组的解的实例。

Then , as an example , the solution to the ill conditioned system of equations is also presented .

算例结果表明，该算法对于病态方程组的求解效果明显优于一般的遗传算法和共轭梯度法。

The numerical experiments shows ( show ) that the algorithm is much more efficient than the general genetic algorithm and conjugate gradient method .

该方法运用最小二乘回归法和抛弃平均法消除病态方程组。

In the method , the least square regression combined with the treatment of selective average is used to deal with the abnormal equations .

求解低对称晶系晶胞参数的联立方程组的某些组合可使误差严重积累，构成病态方程组。

Some combinations of simultaneous equations for obtaining lattice constants of low-symmetry crystal systems can lead to a serious accumulation of errors and the formation of abnormal state equations .

用古典欧拉差分格式求解正问题，用截断奇异值分解法求解病态方程组。

The classic difference scheme of Euler is employed to solve the forward problem , and the truncated singular value decomposition is used to solve the ill-conditioned system of algebraic equation .

在模型的实现过程中，为了避免求解病态方程组，采用基函数为正交多项式的最小二乘法来拟合压电陶瓷执行器的迟滞非线性模型。

In order to avoid solving morbid equations , the method of least squares , whose basing function are orthogonal polynomials , is used to fit the hysteresis nonlinearity modeling of the piezoceramic actuator .

但是移动最小二乘法容易形成病态方程组而导致求解失效、并且往往给处理边界条件带来困难。

Because the moving least-squares approximation is used in this method , the disadvantages of the method are its less efficiency , and that it can form ill-conditioned or singular equations sometimes , and applied the boundary conditions difficultly .

利用自然水平函数，将众所周知的阻尼牛顿法进行推广，用于求解病态非线性方程组.Natural（天然等同）相近。

By using the so-called " natural level functions ", we extend the well-known damped Newton method to solve ill-conditioned systems of nonlinear equations .

ABS方法解病态线性方程组

Application of ABS Methods to Solve an ⅲ & Conditioned Linear System of Equations

本文运用一种病态线性方程组的迭代法解出Tung方程。

The method of iteration suggested by Han is applied for solving Tung 's equation .

耗散Boltzmann方程的稳定态解病态线性方程组新解法：增广方程组法

The Steady State of Dissipative Boltzmann Equation A Novel Method for Solving Ill-Conditioned Linear System : Augmented System Method

病态线性方程组新解法：增广方程组法2p和2q阶联立微分方程组的正解性

A Novel Method for Solving Ill-Conditioned Linear System : Augmented System Method POSITIVE SOLUTIONS FOR 2p AND 2q ORDER SIMULTANEOUS NONLINEAR ORDINARY DIFFERENTIAL SYSTEM

病态线性方程组解法的研究是数值计算研究的一个重要课题。

Neural network method in solving ill-conditioned linear system of equations ;

病态线性方程组解法研究

Studying the Algorithm for Solving Ill-conditioned Linear System of Equations

解病态线性方程组的一类直接方法

A class of direct methods for solving ill-conditioned linear systems

求解病态线性方程组的模拟退火算法

Simulated Annealing Algorithm for Solving ⅲ - conditioned Linear Systems

核素深度分布就地测量中病态线性方程组的迭代解法几个非线性算子的迭代算法的收敛性

Iteration Algorithm of One Linear Ill-conditioned Equation Group for In-situ Measurement of Radionuclide-depth-distribution

病态线性方程组的新解法：误差转移法

A New Method for Solving Ill-Conditioned Linear Systems

解病态线性方程组的遗传算法

Group E is the highest . Genetic algorithm for solving ill-conditioned linear systems of equations

用遗传算法求解病态线性方程组

Genetic Algorithm for Solving Ill-conditioned Linear Systems

病态线性方程组的条件预优解法&数值相关性理论的一个应用

The pre-conditioning method for solving ill-posed linear equations & an application of the theory of numerical dependence

提出了一种基于神经网络的病态线性方程组求解方法。

This paper presents a novel method based on neural network to solve ill-conditioned linear system of equations .

本章将盲多用户检测问题描述为病态线性方程组求解问题，应用求解病态线性方程组的截断奇异值分解方法，我们同样得到了SBMUD算法。

In this chapter , the blind multi-user detection is described as the problem of solving ill-conditioned linear equations .

从而把原病态线性方程组的求解问题转化为一个等价的神经网络优化问题。

The solving problem for the original group of ill-conditioned linear equations is transformed into an equivalent one which is to solve the neural network optimization .