Results 1 to 10 of about 149,185 (266)
Process parameters optimization of EDM for hybrid aluminum MMC using hybrid optimization technique. [PDF]
HeliyonThis study explores how machining parameters affect Surface Roughness (SR), Tool Wear Rate (TWR), and Material Removal Rate (MRR) during Electrical Discharge Machining (EDM) of a hybrid aluminum metal matrix composite (AMMC). The composite includes 6 % Silicon carbide (SiC) and 6 % Boron carbide (B4C) in an Aluminum 7075 (Al7075) matrix.
Mohankumar V +6 more
europepmc +4 more sources
Improving the traffic situation by shifting the turn and adjusting the traffic lights [PDF]
E3S Web of Conferences, 2023 The article deals with the problem of the formation of a traffic jam on the one of the street Krasnoyarsk cities. According to statistics, the largest set of accidents occur when turning the vehicle.
Stupin Artem +4 more
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On the Convergence Rate of Quasi-Newton Methods on Strongly Convex Functions with Lipschitz Gradient
Mathematics, 2023 The main results of the study of the convergence rate of quasi-Newton minimization methods were obtained under the assumption that the method operates in the region of the extremum of the function, where there is a stable quadratic representation of the ...
Vladimir Krutikov +3 more
doaj +1 more source
Algorithms, 2023 A number of real-world problems of automatic grouping of objects or clustering require a reasonable solution and the possibility of interpreting the result. More specific is the problem of identifying homogeneous subgroups of objects.
Igor Masich +5 more
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Optimizing Hybrid Spreading in Metapopulations [PDF]
Scientific Reports, 2015 AbstractEpidemic spreading phenomena are ubiquitous in nature and society. Examples include the spreading of diseases, information and computer viruses. Epidemics can spread by local spreading, where infected nodes can only infect a limited set of direct target nodes and global spreading, where an infected node can infect every other node.
Zhang, Changwang +4 more
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Properties of the Quadratic Transformation of Dual Variables
Algorithms, 2023 We investigate a solution of a convex programming problem with a strongly convex objective function based on the dual approach. A dual optimization problem has constraints on the positivity of variables.
Vladimir Krutikov +5 more
doaj +1 more source
Calculating the Moore–Penrose Generalized Inverse on Massively Parallel Systems
Algorithms, 2022 In this work, we consider the problem of calculating the generalized Moore–Penrose inverse, which is essential in many applications of graph theory.
Vukašin Stanojević +4 more
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Optimal Constructions of Hybrid Algorithms [PDF]
Journal of Algorithms, 1998 We study on-line strategies for solving problems with hybrid algorithms. There is a problem Q and w basic algorithms for solving Q. For some lambda <= w, we have a computer with lambda disjoint memory areas, each of which can be used to run a basic algorithm and store its intermediate results.
Kao, Ming-Yang +3 more
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Optimal control of hybrid systems [PDF]
Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304), 2003 This paper presents a method for optimal control of hybrid systems. An inequality of Bellman type is considered and every solution to this inequality gives a lower bound on the optimal value function. A discretization of this "hybrid Bellman inequality" leads to a convex optimization problem in terms of finite-dimensional linear programming.
Rantzer, Anders, Hedlund, Sven
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Recurrent Neural Network Models Based on Optimization Methods
Mathematics, 2022 Many researchers have addressed problems involving time-varying (TV) general linear matrix equations (GLMEs) because of their importance in science and engineering.
Predrag S. Stanimirović +4 more
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