Results 41 to 50 of about 1,907,337 (239)

Complexity analysis of primal-dual algorithms for the semidefinite linear complementarity problem

open access: yesJournal of Numerical Analysis and Approximation Theory, 2011
In this paper a primal-dual path-following interior-point algorithm for the monotone semidefinite linear complementarity problem is presented.
Mohamed Achache, Naima Boudiaf
doaj   +2 more sources

CSF Cytokine Network Organization Predicts Progression Independent of Relapse and MRI Activity in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno   +19 more
wiley   +1 more source

Contributions to polynomial system solving: Recurrences and Gröbner bases

open access: yes, 2023
This habilitation thesis deals with polynomial system solving through Gröbner bases computations. It focuses on the link between multivariate polynomials and linear recurrence relations satisfied by a multi-indexed sequence for computing Gröbner ...
Berthomieu, Jérémy
core   +2 more sources

Efficient Digital Predistortion Using Sparse Neural Network

open access: yesIEEE Access, 2020
This paper proposes an efficient neural-network-based digital predistortion (DPD), named as envelope time-delay neural network (ETDNN) DPD. The method complies with the physical characteristics of radio-frequency (RF) power amplifiers (PAs) and uses a ...
Masaaki Tanio   +2 more
doaj   +1 more source

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella   +5 more
wiley   +1 more source

On the Complexity of the Interlace Polynomial [PDF]

open access: yes, 2008
We consider the two-variable interlace polynomial introduced by Arratia, Bollob`as and Sorkin (2004). We develop two graph transformations which allow us to derive point-to-point reductions for the interlace polynomial.
Bläser, Markus, Hoffmann, Christian
core   +2 more sources

Discordance Between Patient and Physician Global Assessments in Early Systemic Sclerosis

open access: yesArthritis Care &Research, EarlyView.
Objective This study aims to identify factors associated with patient global assessment (PtGA) and physician global assessment (PhGA) and discordance between them in systemic sclerosis (SSc). Methods Data from adults with early SSc (<5 years) from the Collaborative National Quality and Efficacy Registry were included.
Ellen Romich   +35 more
wiley   +1 more source

A full-modified-Newton step infeasible interior-point method for monotone linear complementarity problem

open access: yesپژوهش‌های ریاضی, 2021
By using a new search direction, we propose an infeasible interior-point method for monotone linear complementarity problem. The algorithm uses only one feasibility step in each iteration, and we prove that it suffices in order to obtain a polynomial ...
Nezameddin Mahdavi-Amiri   +1 more
doaj  

On the quantum computational complexity of classical linear dynamics with geometrically local interactions: Dequantization and universality [PDF]

open access: yesQuantum
The simulation of large-scale classical systems in exponentially small space on quantum computers has gained attention. The prior work demonstrated that a quantum algorithm offers an exponential speedup over any classical algorithm in simulating ...
Kazuki Sakamoto, Keisuke Fujii
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

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