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Published in 2021 at "Journal of Signal Processing Systems"
DOI: 10.1007/s11265-020-01550-1
Abstract: NP-hard problems such as the maximum clique or minimum vertex cover problems, two of Karp’s 21 NP-hard problems, have several applications in computational chemistry, biochemistry and computer network security. Adiabatic quantum annealers can search for…
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Keywords:
algorithms solving;
solving hard;
hard problems;
decomposition algorithms ... See more keywords
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Published in 2018 at "Optimization"
DOI: 10.1080/02331934.2018.1523404
Abstract: ABSTRACT In this paper, we introduce two new algorithms for solving classical variational inequalities problem with Lipschitz continuous and monotone mapping in real Hilbert space. We modify the subgradient extragradient methods with a new step…
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Keywords:
algorithms solving;
subgradient extragradient;
modified subgradient;
variational inequalities ... See more keywords
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Published in 2021 at "Nonlinearity"
DOI: 10.1088/1361-6544/ac337f
Abstract: In recent years, tremendous progress has been made on numerical algorithms for solving partial differential equations (PDEs) in a very high dimension, using ideas from either nonlinear (multilevel) Monte Carlo or deep learning. They are…
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Keywords:
monte carlo;
algorithms solving;
carlo;
nonlinear monte ... See more keywords
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Published in 2025 at "Physical Review A"
DOI: 10.1103/1fw9-h14w
Abstract: We present four quantum algorithms for solving a multidimensional drift-diffusion equation. They rely on a quantum linear system solver, a quantum Hamiltonian simulation, a quantum random walk, and the quantum Fourier transform. We compare the…
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Keywords:
diffusion equation;
drift diffusion;
quantum algorithms;
algorithms solving ... See more keywords
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Published in 2024 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2023.3293066
Abstract: This article proposes three distributed algorithms for solving linear algebraic equations to seek a least-squares (LS) solution via multiagent networks. We consider that each agent has only access to a small and incomplete block of…
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Keywords:
squares solution;
least squares;
distributed algorithms;
linear algebraic ... See more keywords
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Published in 2017 at "Computational Mathematics and Mathematical Physics"
DOI: 10.1134/s0965542517050025
Abstract: A new algorithm for determining the optical parameters of deposited multilayer optical coatings based on comparing the positions of the extrema of the optical characteristics of multilayer optical coatings is proposed. Two versions of this…
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Keywords:
algorithms solving;
optics;
inverse problems;
solving inverse ... See more keywords
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Published in 2021 at "Journal of Mathematics"
DOI: 10.1155/2021/6624509
Abstract: The split feasibility problem has received much attention due to its various applications in signal processing and image reconstruction. In this paper, we propose two inertial relaxed algorithms for solving the split feasibility problem in…
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Keywords:
split feasibility;
algorithms solving;
inertial relaxed;
solving split ... See more keywords
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Published in 2017 at "Fixed Point Theory"
DOI: 10.24193/fpt-ro.2017.1.15
Abstract: In this paper, we first introduce a self-adaptive projection algorithm by adopting Armijolike searches to solve the spit equality problem (SEP), then we propose a relaxed self-adaptive projection algorithm by using projections onto half-spaces instead…
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Keywords:
algorithms solving;
self adaptive;
projection algorithms;
adaptive projection ... See more keywords
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1
Published in 2023 at "Symmetry"
DOI: 10.3390/sym15051080
Abstract: Mobile manipulator robots have become important pieces of equipment due to the high mobility of mobile subsystems and the high flexibility of manipulator subsystems. Considering the increasing degrees of freedom and the need to avoid…
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Keywords:
kinematics;
inverse kinematics;
solving inverse;
manipulator ... See more keywords