[LIVRE][B] On Optmization Algorithms for Maximum Likelihood Estimation

AT Mai, M Toulouse, F Bastin - 2014 - researchgate.net
Maximum likelihood estimation (MLE) is one of the most popular technique in econometric
and other statistical applications due to its strong theoretical appeal, but can lead to …

[HTML][HTML] Low-complexity soft-output signal detector based on adaptive pre-conditioned gradient descent method for uplink multiuser massive MIMO systems

S Berthe, X **g, H Liu, Q Chen - Digital Communications and Networks, 2023 - Elsevier
Abstract In multiuser massive Multiple Input Multiple Output (MIMO) systems, a large amount
of antennas are deployed at the Base Station (BS). In this case, the Minimum Mean Square …

[HTML][HTML] Итерационный метод решения систем линейных алгебраических уравнений с положительно полуопределенными матрицами системы

ВН Иванов - Вестник Пермского университета. Серия …, 2023 - cyberleninka.ru
Рассматривается задача нахождения нормального псевдорешения возмущенных
систем линейных алгебраических уравнений с положительно полуопределенными …

Equivalency of kinetic schemes: causes and an analysis of some model fitting algorithms

AI Petrov, VD Dergachev - International Journal of Chemical …, 2017 - Wiley Online Library
The same experimental data can often be equally well described by multiple mathematically
equivalent kinetic schemes. In the present work, we investigate several model‐fitting …

Dynamic programming approaches for estimating and applying large-scale discrete choice models

AT Mai - 2016 - papyrus.bib.umontreal.ca
People go through their life making all kinds of decisions, and some of these decisions affect
their demand for transportation, for example, their choices of where to live and where to …

A Symmetric Rank‐One Quasi‐Newton Method for Nonnegative Matrix Factorization

SZ Lai, HB Li, ZT Zhang - International Scholarly Research …, 2014 - Wiley Online Library
As is well known, the nonnegative matrix factorization (NMF) is a dimension reduction
method that has been widely used in image processing, text compressing, signal …

Limited memory methods with improved symmetric rank-one updates and its applications on nonlinear image restoration

F Modarres Khiyabani, WJ Leong - Arabian Journal for Science and …, 2014 - Springer
The iterative solution of unconstrained optimization problems has been found in a variety of
significant applications of research areas, such as image restoration. In this paper, we …

Smooth Quasi-Newton Methods for Nonsmooth Optimization

J Guo - 2018 - search.proquest.com
The success of Newton's method for smooth optimization, when Hessians are available,
motivated the idea of quasi-Newton methods, which approximate Hessians in response to …