Results 71 to 80 of about 7,335,515 (304)
Making Robust Decisions in Discrete Optimization Problems as a Game against Nature [PDF]
In this paper a discrete optimization problem under uncertainty is discussed. Solving such a problem can be seen as a game against nature. In order to choose a solution, the minmax and minmax regret criteria can be applied.
Adam Kasperski
core
Discrete Mechanics and Optimal Control for Space Trajectory Design [PDF]
, 2011 Space trajectory design is often achieved through a combination of dynamical systems theory and optimal control. The union of trajectory design techniques utilizing invariant manifolds of the planar circular restricted three-body problem and the optimal ...
Moore, Ashley
core +1 more source
Advanced Functional Materials, EarlyView.Neuromorphic devices for extreme environments are interpreted through the physical states that store and process information. Radiation, temperature extremes, and vacuum can perturb vacancies, filaments, trapped charges, polarization, interfaces, and readout signals.
Taehyun Park +7 more
wiley +1 more source
Discrete gradient method : Derivative-free method for nonsmooth optimization [PDF]
, 2008 A new derivative-free method is developed for solving unconstrained nonsmooth optimization problems. This method is based on the notion of a discrete gradient.
Bagirov, A. M. +4 more
core +1 more source
Advanced Materials, EarlyView.Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Continuous Time Chaotic Systems for Whale Optimization Algorithm
Advances in Electrical and Computer Engineering, 2018 Discrete time chaotic systems are often used instead of random number arrays in order to improve the convergence properties of optimization algorithms and prevent them to get stuck on local solutions.
TANYILDIZI, E., CIGAL, T.
doaj +1 more source
Discrete optimization problems with random cost elements [PDF]
In a general class of discrete optimization problems, some of the elements mayhave random costs associated with them. In such a situation, the notion of optimalityneeds to be suitably modified.
Das, S., Ghosh, D.
core
Transparent Perovskite Light‐Emitting Diodes with Conductive Oxide Top Electrodes
Advanced Materials, EarlyView.Transparent perovskite light‐emitting diodes (TrPeLEDs) enable simultaneous display and transparency, expanding application possibilities. Using a metal oxide buffer layer and pulsed laser deposition, TrPeLEDs with diverse compositions and architectures are demonstrated.
Michele Forzatti +11 more
wiley +1 more source
Time and nodal decomposition with implicit non-anticipativity constraints in dynamic portfolio optimization [PDF]
We propose a decomposition method for the solution of a dynamic portfolio optimization problem which fits the formulation of a multistage stochastic programming problem.
Elio Canestrelli, Diana Barro
core
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source