Stabilization of a hybrid system with a nonlinear nonmonotone feedback [PDF]
ESAIM: Control, Optimisation and Calculus of Variations, 1999 The system \[ \begin{aligned}{\partial^2 y(t, x) \over \partial t^2} - {\partial \over \partial x} \bigg(a(x) {\partial y(t, x) \over \partial x} \bigg) &= 0 \qquad (0 \leq x \leq 1),\\ a(0) {\partial y(t, 0) \over \partial x} - m {\partial^2 y(t, 0) \over \partial t^2} &= F(t),\\ a(1){\partial y(t, 1) \over \partial x} + M{\partial^2 y(t, 1) \over ...
Feireisl, Eduard, O'Dowd, Geoffrey
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Inverse-Intensity-Weighted Generalized Estimating Equations With Irregularly Measured Longitudinal Data and Informative Dropout. [PDF]
Stat MedABSTRACT Longitudinal data are commonly encountered in biomedical research, including randomized trials and retrospective cohort studies. Subjects are typically followed over a period of time and may be scheduled for follow‐up at predetermined time points.
Stefan G, Pullenayegum E.
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AVIDbase: A biologically accurate structural dataset of nanobody-antigen complexes. [PDF]
Protein SciAbstract Accurate structural data in a standardized format is one of the key factors behind the success of machine learning (ML)‐based methods for protein design and structure prediction. However, their application to nanobody‐antigen complexes has lower success rates compared to globular protein complexes, partly due to the limited amount of high ...
Medved T, Lah J, Miličić G, Hadži S.
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A modified filter nonmonotone adaptive retrospective trust region method. [PDF]
PLoS One, 2021 In this paper, aiming at the unconstrained optimization problem, a new nonmonotone adaptive retrospective trust region line search method is presented, which takes advantages of multidimensional filter technique to increase the acceptance probability of ...
Ding X, Qu Q, Wang X.
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A new nonmonotone adaptive trust region algorithm [PDF]
, 2022 summary:We propose a new and efficient nonmonotone adaptive trust region algorithm to solve unconstrained optimization problems. This algorithm incorporates two novelties: it benefits from a radius dependent shrinkage parameter for adjusting the trust ...
Amini, Keyvan, Kamandi, Ahmad
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Competition and Collaboration in the AI Race: Country-LevelDirectional Evidence for Risk Monitoring and Policy. [PDF]
Risk AnalABSTRACT Artificial intelligence (AI) is reshaping national economies, yet country‐level AI–macro relationships remain poorly understood. Using annual data for the United States and China, 1980–2020, we develop a four‐layer triangulation framework—Pattern Causality, Granger causality, VECM‐based cointegration, and lead–lag correlation—to map ...
Liu P +6 more
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Machine Learning Model for Predicting Suicide Risks Among Patients With Posttraumatic Stress Disorder Who Received Opioids. [PDF]
Depress AnxietyBackground The cooccurrence of posttraumatic stress disorder (PTSD) and opioid use heightens suicide risk. We aimed to develop and validate a machine learning‐based suicide prediction model (SPM) to identify PTSD patients prescribed opioids who are at risk of suicide within 6‐month prediction intervals.
Huang S +6 more
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A nonmonotone inexact Newton method
, 2005 In this paper, we describe a variant of the inexact Newton method for solving nonlinear systems of equations.We define a nonmonotone inexact Newton step and a nonmonotone backtracking strategy.
Silvia Bonettini, BONETTINI, Silvia
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A nonmonotone smoothing-type algorithm for solving a system of equalities and inequalities [PDF]
, 2010 In this paper, we investigate a smoothing-type algorithm with a nonmonotone line search for solving a system of equalities and inequalities. We prove that the nonmonotone algorithm is globally and locally superlinearly convergent under suitable ...
Zhang, Ying, Huang, Zheng-Hai
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First order theories for nonmonotone inductive definitions: recursively inaccessible and Mahlo [PDF]
, 2001 In this paper first order theories for nonmonotone inductive definitions are introduced, and a proof-theoretic analysis for such theories based on combined operator forms à la Richter with recursively inaccessible and Mahlo closure ordinals is ...
Jäger, Gerhard
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