We consider the least squares problem with a quadratic equality constraint (LSQE), i.e., minimizing ‖Ax - b‖[SUB2] subject to ‖x‖[SUB2]=α, without the assumption ‖A[SUP†]b‖[SUB2]>α which is commonly imposed in the literature. Structure and perturbation analysis are given ...
2) the Least Squares with a Quadratic Constraint inversion 基于二次约束的最小二乘算反演3) geometric least square method 几何最小二乘法 1. In the third chapter, geometric least square method is applied to deal with the group decision problems with reciprocal and complementary judgement matrices...
Gander, W.: Least squares with a quadratic constraint. Numer. Math. 36, 291–307 (1981) Google Scholar Gander, W., Hřebiček, J.: Solving Problems in Scientific Computing using Maple and Matlab. Springer, Berlin, fourth edition (2004) Google Scholar Gander, W., Golub, G.H., ...
Indefinite least squares with a quadratic constraint Anindefinite least squares problem with a quadratic constraint is considered. This is a quadratic programming problem with one quadratic equality constrain... SG Zerbo,A Maestripieri,FM Pería 被引量: 0发表: 2022年 加载更多来源...
Linear Least Squares: Interior-Point or Active-Set The lsqlin 'interior-point' algorithm uses the interior-point-convex quadprog Algorithm, and the lsqlin 'active-set' algorithm uses the active-set quadprog algorithm. The quadprog problem definition is to minimize a quadratic function minx12xTHx+cT...
results on six real-world data sets indicate that DPNMis very efficient for solving the 1 -regularized least squares problem, by com- paring it with state of the art methods. 1 Introduction Adding an 1 -norm constraint or an 1 -norm regularization term to an optimization problem, a spar...
A kind ofconstrained least squares methodfor image restoration is studied. 研究了一类具有约束条件的最小二乘方图像复原方法,在此基础上,提出了具有一阶微分条件的约束最小二乘方图像复原方法。 5) least square with equality constraint 有约束最小二乘 ...
The inequality-constrained least squares (ICLS) problem can be solved by the simplex algorithm of quadratic programming. The ICLS problem may also be reformulated as a Bayesian problem and solved by using the Bayesian principle. This paper proposes using the aggregate constraint method of non-linear...
A recursive least squares implementation for adaptive beamforming under quadratic constraint Quadratic constraints on the weight vector of an adaptive linearly constrained minimum power (LCMP) beamformer can improve robustness to pointing errors an... Z Tian,KL Bell,HLV Trees - IEEE 被引量: 42发表...
This paper presents a generalized approach for Imitation Learning (IL) control, employing least-squares optimization to replicate an expert behavior for a given task. While Nonlinear Model Predictive Control (NMPC) is renowned for its predictive capabilities, constraint-handling and adaptability, its co...