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https://www.kth.se/math/kalender/adam-pettersson-computing-a-cost-of-capital-margin-with-least-squares-monte-carlo-1.1174691?date=2022-06-10&orgdate=2022-02-06&length=1&orglength=329
Adam Pettersson: Computing a cost-of-capital margin with least-squares Monte Carlo | KTH
cost of capitaladam petterssoncomputingmarginleast
https://www.nist.gov/publications/precise-calculation-transition-frequencies-hydrogen-and-deuterium-based-least-squares
Precise Calculation of Transition Frequencies of Hydrogen and Deuterium Based on a Least-Squares...
Theoretical values of transition frequencies of hydrogen and deuterium are given, based on the most accurate measurements together with the results of recent qu
precisecalculationtransitionfrequencieshydrogen
https://www.econstor.eu/handle/10419/220905
EconStor: Using Weighted Nonlinear Least Squares to Estimate Fish Population Dynamics Models
EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW.
nonlinear least squareseconstorusingweightedestimate
https://www.intel.com/content/www/us/en/docs/onemkl/developer-reference-c/2024-1/lapack-least-square-eigenvalue-problem-computation.html
LAPACK Least Squares and Eigenvalue Problem Computational Routines
least squareseigenvalue problemlapackcomputationalroutines
https://adamheins.com/blog/linear-algebra-geometry
Linear Algebra and the Geometry of Least Squares
More linear algebra: we see that least squares problems are just projections onto linear subspaces.
linear algebrathe geometryleast squares
https://www.intel.com/content/www/us/en/docs/onemkl/developer-reference-fortran/2024-0/lapack-least-squares-eigenvalue-problem-driver.html
LAPACK Least Squares and Eigenvalue Problem Driver Routines
least squareseigenvalue problemlapackdriverroutines
https://openreview.net/forum?id=nv7ox1vd3q&referrer=%5Bthe%20profile%20of%20Vidya%20Muthukumar%5D(%2Fprofile%3Fid%3D~Vidya_Muthukumar3)
Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks | OpenReview
The classical iteratively reweighted least-squares (IRLS) algorithm aims to recover an unknown signal from linear measurements by performing a sequence of...
least squarespreciseasymptoticsalgorithmslinear
https://www.nist.gov/publications/nonlinear-least-squares-solution-causality-constraints-applied-transmission-line
A Nonlinear Least-Squares Solution with Causality Constraints Applied to Transmission Line...
nonlinear least squaressolutioncausalityconstraints
https://deepai.org/publication/a-discontinuous-least-squares-finite-element-method-for-time-harmonic-maxwell-equations
A discontinuous least squares finite element method for time-harmonic Maxwell equations | DeepAI
07/14/20 - We propose and analyze a discontinuous least squares finite element method for solving the indefinite time-harmonic Maxwell equati...
finite element methodleast squarestime harmonicdiscontinuous
https://laid-back-scientist.com/en/least-squares
Linear Regression & Least Squares: Theory and Python Implementation (From Scratch vs. scikit-learn)...
Introduction In this article, we will introduce the theory and Python implementation of the "Least Squares Method," focu...
linear regressionleast squaresfrom scratchtheorypython
https://scirp.org/journal/paperinformation?paperid=117415
Improving the Ordinary Least Squares Estimator by Ridge Regression
In the presence of multicollinearity, ridge regression techniques result in estimated coefficients that are biased but have smaller variance than Ordinary...
ordinary least squaresridge regressionimprovingestimator