Results 11 to 20 of about 281,740 (353)
LEARNING OF ALGORITHMS: A THEORETICAL MODEL WITH FOCUS ON COGNITIVE DEVELOPMENT
, 2012 Taking a broad perspective on algorithm in mathematics, the author presents a theoretical model about the learning and teaching of algorithm with focus on students’ cognitive development. The model consists of three cognitive levels: 1. Knowledge and Skills, 2. Understanding and Comprehension, and 3. Evaluation and Construction. The model suggests that
Lianghuo Fan
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Continuous-Time Reinforcement Learning: New Design Algorithms With Theoretical Insights and Performance Guarantees [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2023 Continuous-time reinforcement learning (CT-RL) methods hold great promise in real-world applications. Adaptive dynamic programming (ADP)-based CT-RL algorithms, especially their theoretical developments, have achieved great successes.
Brent A. Wallace, J. Si
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Theoretical Perspectives on Deep Learning Methods in Inverse Problems [PDF]
IEEE Journal on Selected Areas in Information Theory, 2022 In recent years, there have been significant advances in the use of deep learning methods in inverse problems such as denoising, compressive sensing, inpainting, and super-resolution.
J. Scarlett +4 more
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Archives of Computational Methods in Engineering, 2023 Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving some optimization problems, it faces many issues. Thus, WOA has attracted scholars' attention, and researchers frequently prefer to employ and improve it to ...
Mohammad-Hossein Nadimi-Shahraki +3 more
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Journal of High Energy Physics, 2023 We study the Hamiltonian lattice Yang-Mills theory based on spin networks that provide a useful basis to represent the physical states satisfying the Gauss law constraints. We focus on SU(2) Yang-Mills theory in (2 + 1) dimensions.
Tomoya Hayata, Yoshimasa Hidaka
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Tensor renormalization group study of (3+1)-dimensional ℤ2 gauge-Higgs model at finite density
Journal of High Energy Physics, 2022 We investigate the critical endpoints of the (3+1)-dimensional ℤ2 gauge-Higgs model at finite density together with the (2+1)-dimensional one at zero density as a benchmark using the tensor renormalization group method.
Shinichiro Akiyama, Yoshinobu Kuramashi
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Bond-weighting method for the Grassmann tensor renormalization group
Journal of High Energy Physics, 2022 Recently, the tensor network description with bond weights on its edges has been proposed as a novel improvement for the tensor renormalization group algorithm. The bond weight is controlled by a single hyperparameter, whose optimal value is estimated in
Shinichiro Akiyama
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Three-body resonances in the φ 4 theory
Journal of High Energy Physics, 2023 We study the properties of three-body resonances using a lattice complex scalar φ 4 theory with two scalars, with parameters chosen such that one heavy particle can decay into three light ones.
Marco Garofalo +4 more
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Journal of High Energy Physics, 2023 It is well known that quantum tunneling can be described by instantons in the imaginary-time path integral formalism. However, its description in the real-time path integral formalism has been elusive. Here we establish a statement that quantum tunneling
Jun Nishimura +2 more
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