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[null,null,"Titolo",null,"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]"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2023]"]
[{"$nulls":4},"©2023"]
[null,null,"ISBN",null,"3-031-22990-8"]
[null,null,"Descrizione fisica",null,"1 online resource (201 pages)"]
[null,null,"Collana",null,"Communications in Computer and Information Science Ser. ; ; v.1739"]
[null,null,"Disciplina",null,"004.6"]
[null,null,"Soggetti",null,"Computer networks"]
[{"$nulls":4},"Mathematical optimization"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,"Nota di contenuto",null,"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 "]
[{"$nulls":4},"-- 5.3 Solving a System of Nonlinear Equations -- 6 Conclusion -- References -- Global Optimization -- An Improved Genetic Algorithm for the Resource-Constrained Project Scheduling Problem -- 1 Introduction -- 2 Problem Setting -- 3 Genetic Algorithm -- 4 Crossovers and Algorithm Scheme -- 5 Numerical Experiments -- 6 Conclusion -- References."]
[{"$nulls":4},"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)."]
[{"$nulls":4},"6.3 Approximate Asymptotic Solution to the Producer's Problem -- 6.4 The Asymptotic Solution to the Producer's Problem with (x)=kx -- 7 Conclusion -- References -- Comparative Analysis of the Efficiency of Financing the State Budget Through Emissions, Taxes and Public Debt -- 1 Introduction -- 2 Model ISLMBP -- 3 Model Extension: ISLMBPFI -- 4 The Statement of the State's Problem of Optimal Control -- 5 Model Trajectories' Features -- 6 Conclusions and Perspectives -- References -- Applications -- Construction of Optimal Feedback for Zooplankton Diel Vertical Migration -- 1 Introduction -- 2 Materials and Methods -- 2.1 The Problem Statement -- 2.2 Construction of Optimal Feedback -- 2.3 Description of the SoFDE Framework -- 3 Results -- 4 Summary -- References -- Synthesis of Trajectory Planning Algorithms Using Evolutionary Optimization Algorithms -- 1 Introduction -- 2 Setting an Optimization Problem -- 3 Algorithms for a Path Optimization -- 3.1 Genetic Algorithm (GA) -- 3.2 Particle Swarm Algorithm (PSO) -- 3.3 Grey Wolf Algorithm (GWO) -- 4 Numerical Results -- 4.1 2D Case -- 4.2 3D Case -- 4.3 Trajectory Planning When There are a Large Number of Obstacles -- 5 Conclusion -- References -- Application of Attention Technique for Digital Pre-distortion -- 1 Introduction -- 2 Idea Description -- 2.1 Attention Mechanism -- 2.2 Memory Term Reduction Approach for DPD -- 2.3 Temporal Pattern Attention -- 2.4 Recurrent Neural Networks for DPD -- 2.5 Behavioral Modeling of TPA Approach Based on IGRNN or IGIRNN -- 2.6 Validation Metrics -- 3 "]
[{"$nulls":4},"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."]
[{"$nulls":4},"3.2 GLDM Estimation Algorithm -- 4 Predictor -- 5 Experimental Results -- 6 Conclusion -- References -- Author Index."]