Search. Stochastic algorithms as well as … Part of Springer Nature. Search. send feedback, Over 10 million scientific documents at your fingertips. Dieser Service hat keine Mindestlaufzeit und ist jederzeit kündbar. (Darin sollte mind. This book is a practical guide to help graduates and researchers to carry out optimization for real-world applications. Journal home; Online first articles; Search within journal. Computational Optimization and Applications. Computational Optimization and Applications covers a wide range of topics in optimization, including: large scale optimization, unconstrained optimization, constrained optimization, nondifferentiable optimization, combinatorial optimization, stochastic optimization, multiobjective optimization, and network optimization. © 2020 Springer Nature Switzerland AG.

Computational Optimization and Applications is a peer-reviewed academic journal published by Springer Science+Business Media. The journal focuses on the analysis and development of computational algorithms and modeling technology for optimization. You’re seeing our new journal sites and we’d like your opinion, please Part of Springer Nature. Solving an optimization problem correctly and efficiently requires not only the right choice of optimization algorithms and simulation methods, but also the proper implementation and insight into the problem of interest. More advanced readers will also find it a helpful reference and aide memoire. These case studies have been solved using a wide range of optimization techniques, including particle swarm optimization, genetic algorithms, artificial bee colony, harmony search, adaptive error control, derivative-free pattern search, surrogate-based optimization, variable-fidelity modelling, as well as various other methods and approaches. Computational Optimization and Applications. © 2020 Springer Nature Switzerland AG.

Zukünftig erhalten Sie keine automatischen Aktualisierungen von uns. You’re seeing our new journal sites and we’d like your opinion, please Optimization topics and applications include gas and water supply networks, oil field production optimization, microwave engineering, aerodynamic shape design, environmental emergence modelling, structural engineering, waveform design for radar and communication systems, parameter estimation in laser experiment and measurement, engineering materials and network scheduling. Computational Optimization and Applications. In den Warenkorb Das Passwort muss mind. ein Groß- und ein Kleinbuchstabe und mind. Computational Optimization and Applications, A bundle method for nonsmooth DC programming with application to chance-constrained problems, Nonconvex robust programming via value-function optimization, Globalized inexact proximal Newton-type methods for nonconvex composite functions, The Gauss–Seidel method for generalized Nash equilibrium problems of polynomials, Implementing and modifying Broyden class updates for large scale optimization, An efficient algorithm for nonconvex-linear minimax optimization problem and its application in solving weighted maximin dispersion problem, Single-forward-step projective splitting: exploiting cocoercivity, An interior point-proximal method of multipliers for convex quadratic programming, Decomposition and discrete approximation methods for solving two-stage distributionally robust optimization problems, Convergence study on strictly contractive Peaceman–Rachford splitting method for nonseparable convex minimization models with quadratic coupling terms, Tractable ADMM schemes for computing KKT points and local minimizers for, T-positive semidefiniteness of third-order symmetric tensors and T-semidefinite programming, An accelerated active-set algorithm for a quadratic semidefinite program with general constraints, Properties of the delayed weighted gradient method, Accelerating convergence of the globalized Newton method to critical solutions of nonlinear equations.



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