Results 31 to 40 of about 432,547 (303)
A Regularised Total Least Squares Approach for 1D Inverse Scattering
Mathematics, 2022 We study the inverse scattering problem for a Schrödinger operator related to a static wave operator with variable velocity, using the GLM (Gelfand–Levitan–Marchenko) integral equation.
Andreas Tataris, Tristan van Leeuwen
doaj +1 more source
A Polynomial Fitting Problem: The Orthogonal Distances Method
Mathematics, 2022 The classical curve-fitting problem to relate two variables, x and y, deals with polynomials. Generally, this problem is solved by the least squares method (LS), where the minimization function considers the vertical errors from the data points to the ...
Luis Alberto Cantera-Cantera +4 more
doaj +1 more source
Total Least Squares Registration of 3D Surfaces
International Journal of Environment and Geoinformatics, 2015 Co-registration of point clouds of partially scanned objects is the first step of the 3D modeling workflow. The aim of co-registration is to merge the overlapping point clouds by estimating the spatial transformation parameters.
Umut Aydar, M. Orhan Altan
doaj +1 more source
Robust Total Least Squares Estimation Method for Uncertain Linear Regression Model
Mathematics, 2023 In data analysis and modeling, least squares and total least squares are both mathematical optimization techniques. It is noteworthy that both the least squares method and the total least squares method are used to deal with precise and random data ...
Hongmei Shi +4 more
doaj +1 more source
General Total Least Squares Theory for Geodetic Coordinate Transformations
Applied Sciences, 2020 Datum transformations are a fundamental issue in geodesy, Global Positioning System (GPS) science and technology, geographical information science (GIS), and other research fields.
Yuxin Qin +3 more
doaj +1 more source
Short-Arc Horizon-Based Optical Navigation by Total Least-Squares Estimation
Aerospace, 2023 Horizon-based optical navigation (OPNAV) is an attractive solution for deep space exploration missions, with strong autonomy and high accuracy. In some scenarios, especially those with large variations in spacecraft distance from celestial bodies, the ...
Huajian Deng +3 more
doaj +1 more source
Total Least Squares Phase Retrieval
IEEE Transactions on Signal Processing, 2022 We address the phase retrieval problem with errors in the sensing vectors. A number of recent methods for phase retrieval are based on least squares (LS) formulations which assume errors in the quadratic measurements. We extend this approach to handle errors in the sensing vectors by adopting the total least squares (TLS) framework that is used in ...
Gupta, Sidharth +2 more
openaire +2 more sources
Geoplanning: Journal of Geomatics and Planning, 2016 Spirit levelling has been the traditional means of determining Reduced Levels (RL’s) of points by most surveyors. The assertion that the level instrument is the best instrument for determining elevations of points needs to be reviewed; this is because ...
Richard Fiifi Annan +3 more
doaj +1 more source
Nonlinear total least-squares variance component estimation for GM(1,1) model
Geodesy and Geodynamics, 2021 The solution of the grey model (GM(1,1) model) generally involves equal-precision observations, and the (co)variance matrix is established from the prior information.
Leyang Wang, Jianqiang Sun, Qiwen Wu
doaj +1 more source