Suchergebnisse - "Proximal-gradient algorithm"
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1
Autoren: et al.
Quelle: Journal of Mathematics and Computer Science. 41:34-57
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2
Autoren:
Quelle: ESANN 2025 proceesdings. :135-140
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Quelle: Advances in Applied Mathematics. 14:280-289
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4
Quelle: Advances in Applied Mathematics. 14:442-452
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Quelle: Advances in Applied Mathematics. 14:675-687
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Autoren:
Quelle: Computational Optimization and Applications. 90:227-256
Schlagwörter: 90C26, 49M37, 65K05, Optimization and Control (math.OC), 0211 other engineering and technologies, FOS: Mathematics, 02 engineering and technology, 0101 mathematics, Mathematics - Optimization and Control, 01 natural sciences
Zugangs-URL: http://arxiv.org/abs/2311.07847
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7
Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: Maximum Likelihood, Preconditioning, Sparse optimization, Second-order, [INFO] Computer Science [cs], Direction-of-Arrival estimation
Dateibeschreibung: application/pdf
Zugangs-URL: https://hal.science/hal-05241987v1
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8
Autoren: et al.
Quelle: Applied Mathematical Modelling. 133:310-326
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9
Autoren: et al.
Weitere Verfasser: et al.
Quelle: 2020 European Signal Processing Conference
2020 28th European Signal Processing Conference (EUSIPCO)Schlagwörter: Proximal gradient algorithm, adjoint mismatch, 0202 electrical engineering, electronic engineering, information engineering, fixed point methods, computed tomography, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], 02 engineering and technology, image reconstruction, convergence analysis, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Dateibeschreibung: application/pdf
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Autoren: et al.
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Autoren: et al.
Quelle: ICC 2024 - IEEE International Conference on Communications. :3122-3127
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12
Autoren: et al.
Quelle: Ionics. 30:3983-3994
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13
Autoren:
Quelle: OCEANS 2024 - Singapore. :1-5
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14
Autoren: et al.
Quelle: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :8911-8915
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15
Autoren: et al.
Quelle: Inverse Problems. 41:045002
Schlagwörter: positron emission tomography, total variation, Optimization and Control (math.OC), Numerical methods for mathematical programming, optimization and variational techniques, Communication, information, 65J22, 65K05, 90C25, FOS: Mathematics, Mathematical programming, accelerated preconditioned proximal gradient algorithm, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), image reconstruction, Mathematics - Optimization and Control
Dateibeschreibung: application/xml
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16
Autoren:
Quelle: Journal of Global Optimization. 90:73-92
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Quelle: Journal of Applied Mathematics and Computing. 70:1887-1913
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18
Autoren: et al.
Quelle: AIMS Mathematics, Vol 9, Iss 7, Pp 18841-18859 (2024)
Schlagwörter: Artificial intelligence, Inverse Problems in Mathematical Physics and Imaging, Convex Optimization, Economics, Inverse Problems, minimization problem, 0211 other engineering and technologies, Computational Mechanics, Biomedical Engineering, Geometry, 02 engineering and technology, FOS: Medical engineering, 01 natural sciences, Mathematical analysis, Quantum mechanics, Sparse Approximation, inertial extrapolation, Engineering, Compressed Sensing, Convex function, QA1-939, FOS: Mathematics, Image (mathematics), Orthogonal Matching Pursuit, 0101 mathematics, Mathematical Physics, Economic growth, Computer network, forward-backward algorithm, Minification, Physics, Mathematical optimization, Advances in Photoacoustic Imaging and Tomography, Lipschitz continuity, Rate of convergence, Theory and Applications of Compressed Sensing, Computer science, Convex optimization, Regular polygon, Algorithm, Channel (broadcasting), Physical Sciences, Convergence (economics), weak convergence, Inertial frame of reference, Mathematics
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Quelle: Pure Mathematics. 14:654-663
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Autoren: et al.
Quelle: Science China Information Sciences. 68
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