Advances in optimization and applications : 13th International Conference, OPTIMA 2022, Petrovac, Montenegro, September 26-30, 2022, revised selected papers / / edited by Nicholas Olenev [and four others]

• Record Nr.: UNISA996503562603316
• Pubbl/distr/stampa: Cham, Switzerland : , : Springer, , [2023]; ©2023
• ISBN: 3-031-22990-8
• Descrizione fisica: 1 online resource (201 pages)
• Collana: Communications in Computer and Information Science Ser. ; ; v.1739
• Disciplina: 004.6
• Soggetti: Computer networks; Mathematical optimization
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes index.
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Mathematical Programming -- A Derivative-Free Nonlinear Least Squares Solver -- 1 Introduction -- 2 General Description of Nonlinear LS Solver -- 2.1 Descent Along a Subnormalized Direction -- 2.2 General Estimate for Residual Norm Reduction -- 2.3 Choosing the Value of the Stepsize -- 2.4 Approximating Product of Jacobian by a Vector -- 2.5 Choosing Subspace Basis and Descent Direction -- 2.6 Characterizing Inexactness and Choosing Search Directions -- 2.7 Subnormality of Search Directions and the Lower Bound for -- 2.8 Using Quasirandom and Adaptive Rectangular Preconditioners -- 2.9 Description of Computational Algorithm -- 3 Test Problems and Numerical Results -- 3.1 Broyden Tridiagonal Function -- 3.2 Chained Rosenbrock Function -- 3.3 Approximate Canonical Decomposition of Inverse 3D Distance Tensor -- 3.4 Lennard-Jones Potential Minimization -- 4 Concluding Remarks -- A Limiting Stepsize Along Subnormalized Direction -- References -- Gradient-Type Methods for Optimization Problems with Polyak-Łojasiewicz Condition: Early Stopping and Adaptivity to Inexactness Parameter -- 1 Introduction -- 2 Problem Statement and Basic Definitions -- 3 Gradient Descent with an Adaptive Step-Size Policy -- 4 Gradient Descent with Adaptivity in the Step-Size and ; Inexactness of the Noise Level -- 5 Numerical Experiments -- 5.1 The Minimization Problem of the Quadratic Form -- 5.2 Logistic Regression -- 5.3 Solving a System of Nonlinear Equations -- 6 Conclusion -- References -- Global Optimization -- An Improved Genetic Algorithm for the Resource-Constrained Project Scheduling Problem -- 1 Introduction -- 2 Problem Setting -- 3 Genetic Algorithm -- 4 Crossovers and Algorithm Scheme -- 5 Numerical Experiments -- 6 Conclusion -- References.; Nonlocal Optimization Methods for Nonlinear Controlled Systems with Terminal Constraints -- 1 Introduction -- 2 Control Improvement Problem -- 3 Iterative Methods -- 4 Example -- 5 Conclusion -- References -- Discrete and Combinatorial Optimization -- Three-Bar Charts Packing Problem -- 1 Introduction -- 1.1 Our Contribution -- 2 Formulation of the Problem -- 3 NP-Hardness of Packing 1-Big 3-BCs -- 4 Algorithms -- 4.1 Algorithm GA -- 4.2 Algorithm A3 -- 4.3 Algorithm AMaxATSP(0,1) -- 4.4 Algorithms Mw -- 5 Approximation Results -- 6 Conclusion -- References -- An 11/7 - Approximation Algorithm for Single Machine Scheduling Problem with Release and Delivery Times -- 1 Introduction -- 2 IJR Scheduling Algorithm -- 2.1 Algorithm IJR -- 3 The Worst-Case Performance Ratio of the IJR Algorithm -- 4 Computational Experiment -- 5 Conclusion -- References -- Optimization and Data Analysis -- Decentralized Strongly-Convex Optimization with Affine Constraints: Primal and Dual Approaches -- 1 Introduction -- 2 Preliminaries -- 3 Problem Statement -- 4 Primal Approach -- 5 Globally Dual Approach -- 6 Locally Dual Approach -- 6.1 Utilizing Locality on y -- 7 Numerical Experiments -- References -- Game Theory and Mathematical Economics -- Analysis of the Model of Optimal Expansion of a Firm -- 1 Introduction -- 2 Formulation of the Problem -- 3 The Deterministic Model of Optimal Expansion of the Firm -- 4 The Stochastic Model of Optimal Expansion of the Firm -- 4.1 Stochastic Model of Production Expansion in Discrete Time -- 4.2 Solution to Stochastic Model of Production Expansion in Discrete Time -- 5 Stochastic Model of Production Expansion in Continuous Time -- 5.1 The Production Expansion Problem with a Linear Terminal Component -- 6 Stochastic Model of Production Expansion in Continuous Time -- 6.1 Case (A) -- 6.2 Case (B).; 6.3 Approximate Asymptotic Solution to the Producer's Problem -- 6.4 The Asymptotic Solution to the Producer's Problem with (x)=kx -- 7 Conclusion -- References -- Comparative Analysis of the Efficiency of Financing the State Budget Through Emissions, Taxes and Public Debt -- 1 Introduction -- 2 Model ISLMBP -- 3 Model Extension: ISLMBPFI -- 4 The Statement of the State's Problem of Optimal Control -- 5 Model Trajectories' Features -- 6 Conclusions and Perspectives -- References -- Applications -- Construction of Optimal Feedback for Zooplankton Diel Vertical Migration -- 1 Introduction -- 2 Materials and Methods -- 2.1 The Problem Statement -- 2.2 Construction of Optimal Feedback -- 2.3 Description of the SoFDE Framework -- 3 Results -- 4 Summary -- References -- Synthesis of Trajectory Planning Algorithms Using Evolutionary Optimization Algorithms -- 1 Introduction -- 2 Setting an Optimization Problem -- 3 Algorithms for a Path Optimization -- 3.1 Genetic Algorithm (GA) -- 3.2 Particle Swarm Algorithm (PSO) -- 3.3 Grey Wolf Algorithm (GWO) -- 4 Numerical Results -- 4.1 2D Case -- 4.2 3D Case -- 4.3 Trajectory Planning When There are a Large Number of Obstacles -- 5 Conclusion -- References -- Application of Attention Technique for Digital Pre-distortion -- 1 Introduction -- 2 Idea Description -- 2.1 Attention Mechanism -- 2.2 Memory Term Reduction Approach for DPD -- 2.3 Temporal Pattern Attention -- 2.4 ; Recurrent Neural Networks for DPD -- 2.5 Behavioral Modeling of TPA Approach Based on IGRNN or IGIRNN -- 2.6 Validation Metrics -- 3 Experiments -- 3.1 Using Memory Term Reduction for Sequence Length Decreasing -- 3.2 Using TPA Approach -- 4 Conclusion -- References -- Forecasting with Using Quasilinear Recurrence Equation -- 1 Introduction -- 2 Notation and Statement of the Problem -- 3 Evaluating by GLDM -- 3.1 Evaluating by WLDM.; 3.2 GLDM Estimation Algorithm -- 4 Predictor -- 5 Experimental Results -- 6 Conclusion -- References -- Author Index.

Traumatic Brain Injury as a Systems Neuroscience Problem

• Record Nr.: UNINA9910220039403321
• Autore: Isaac Chen
• Pubbl/distr/stampa: Frontiers Media SA, 2017
• Descrizione fisica: 1 online resource (167 p.)
• Collana: Frontiers Research Topics
• Soggetti: Neurosciences
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Sommario/riassunto: Traumatic brain injury (TBI) is traditionally viewed as an anatomic and neuropathological condition. Caring for TBI patients is a matter of defining the extent of an anatomical lesion, managing this lesion, and minimizing secondary brain injury. On the research side, the effects of TBI often are studied in the context of neuronal and axonal degeneration and the subsequent deposition of abnormal proteins such as tau. These approaches form the basis of our current understanding of TBI, but they pay less attention to the function of the affected organ, the brain. Much can be learned about TBI by studying this disorder on a systems neuroscience level and correlating changes in neural circuitry with neurological and cognitive function. There are several aspects of TBI that are a natural fit for this perspective, including post-traumatic epilepsy, consciousness, and cognitive sequelae. How individual neurons contribute to network activity and how network function ; responds to injury are key concepts in examining these areas. In recent years, the available tools for studying the role of neuronal assemblies in TBI have become increasingly sophisticated, ranging from optogenetic and electrophysiological techniques to advanced imaging modalities such as functional magnetic resonance imaging and magnetoencephalography. Further progress in understanding the disruption and subsequent reshaping of networks is likely to have substantial benefits in the treatment of patients with TBI-associated deficits. In this Frontiers Topic, we intend to highlight the systems neuroscience approach to studying TBI. In addition to analyzing the clinical sequelae of TBI in this context, this series of articles explores the pathophysiological mechanisms underlying network dysfunction, including alterations in synaptic activity, changes in neural oscillation patterns, and disruptions in functional connectivity. We also include articles on treatment options for TBI patients that modulate network function. It is our hope that this Frontiers Topic will increase the clinical and scientific communities' awareness of this viable framework for deepening our knowledge of TBI and improving patient outcomes.

Bericht zur Drogensituation in Deutschland / Deutsche Referenzstelle für die Europäische Beobachtungsstelle für Drogen und Drogensucht (DBDD)

• Record Nr.: UNINA9910142359703321
• Pubbl/distr/stampa: München, : [Verlag nicht ermittelbar], [2001]
• Descrizione fisica: Online-Ressource
• Classificazione: 2,1
• Disciplina: 610
• Soggetti: Zeitschrift
• Lingua di pubblicazione: Tedesco
• Formato: Materiale a stampa
• Livello bibliografico: Periodico
• Note generali: Hauptsacht. von der Einzelveröff.; Gesehen am 15.03.24