Search Results - dynamic minimization algorithms

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  1. 1

    Initial Value Acceleration-Based Alternating Minimization Algorithm for Dynamic Sub-Connected Hybrid Precoding in Millimeter Wave MIMO Systems by Liu, Jitai, Deng, Honggui, Wang, Shumin, Liu, Gang, Yang, Kai, Zhu, Zaoxing

    ISSN: 2073-8994, 2073-8994
    Published: Basel MDPI AG 01.02.2021
    Published in Symmetry (Basel) (01.02.2021)
    “… Aiming to solve these problems, this paper proposed a low-complexity hybrid precoding algorithm based on Initial value Acceleration-based Alternating Minimization (IAAM…”
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    Journal Article
  2. 2

    Modified dynamic minimization algorithm for parameter estimation of chaotic system from a time series by Liu, Ying, Tang, Wallace K. S.

    ISSN: 0924-090X, 1573-269X
    Published: Dordrecht Springer Netherlands 01.10.2011
    Published in Nonlinear dynamics (01.10.2011)
    “…This paper proposes a modified dynamic minimization algorithm for parameter estimation of chaotic systems, based on a scalar time series…”
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    Journal Article
  3. 3

    A cost minimization data allocation algorithm for dynamic datacenter resizing by Chen, Wuhui, Paik, Incheon, Li, Zhenni, Yen, Neil Y.

    ISSN: 0743-7315, 1096-0848
    Published: Elsevier Inc 01.08.2018
    “…Modern datacenters dynamically adjust the number of active servers in different geographic regions to adapt to the dynamic workloads from user requests and electricity price heterogeneity…”
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    Journal Article
  4. 4

    Dynamic Minimization of Bi-Kronecker Functional Decision Diagrams by Huang, Xuanxiang, Che, Haipeng, Fang, Liangda, Chen, Qingliang, Guan, Quanlong, Deng, Yuhui, Su, Kaile

    ISSN: 1558-2434
    Published: Association on Computer Machinery 02.11.2020
    “…). Therefore, identifying a good ODT is of paramount importance for BKFDDs. In this paper, we propose four dynamic minimization algorithms for BKFDDs, which encapsulate smart strategies to search for a good ODT in a dynamic way…”
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    Conference Proceeding
  5. 5

    Optimisation of NMR dynamic models I. Minimisation algorithms and their performance within the model-free and Brownian rotational diffusion spaces by d'Auvergne, Edward J, Gooley, Paul R

    ISSN: 0925-2738, 1573-5001
    Published: Dordrecht Dordrecht : Springer Netherlands 01.02.2008
    Published in Journal of biomolecular NMR (01.02.2008)
    “…The key to obtaining the model-free description of the dynamics of a macromolecule is the optimisation of the model-free and Brownian rotational diffusion parameters using the collected R ₁, R ₂…”
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    Journal Article
  6. 6

    Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications by Mota, Joao, Deligiannis, Nikos, Sankaranarayanan, Aswin C., Cevher, Volkan, Rodrigues, Miguel

    ISSN: 1520-6149
    Published: IEEE 01.04.2015
    “… In each iteration, the algorithm solves an ℓ 1 -ℓ 1 minimization problem and estimates the number of measurements that it has to take at the next iteration…”
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    Conference Proceeding
  7. 7

    Dynamic slack allocation algorithms for energy minimization on parallel machines by Kang, Jaeyeon, Ranka, Sanjay

    ISSN: 0743-7315, 1096-0848
    Published: Amsterdam Elsevier Inc 01.05.2010
    “…We explore novel algorithms for DVS (Dynamic Voltage Scaling) based energy minimization of DAG…”
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    Journal Article
  8. 8

    Comparative performance of meta-heuristic algorithms for mass minimisation of trusses with dynamic constraints by Pholdee, Nantiwat, Bureerat, Sujin

    ISSN: 0965-9978
    Published: Elsevier Ltd 01.09.2014
    Published in Advances in engineering software (1992) (01.09.2014)
    “…•Comparative performance of 24 meta-heuristics for solving truss mass minimisation with dynamic constraints…”
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    Journal Article
  9. 9
  10. 10

    An energy minimization algorithm based on distributed dynamic clustering for long term evolution (LTE) heterogeneous networks by Tong, En, Ding, Fei, Pan, ZhiWen, You, XiaoHu

    ISSN: 1674-733X, 1869-1919
    Published: Heidelberg Science China Press 01.04.2015
    Published in Science China. Information sciences (01.04.2015)
    “… In this paper, an energy minimization algorithm based on distributed dynamic clustering (DDCEM) with lower complexity, higher performance, and better adaptability for heterogeneous network…”
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    Journal Article
  11. 11
  12. 12

    A Dynamical Approach to an Inertial Forward-Backward Algorithm for Convex Minimization by Attouch, Hédy, Peypouquet, Juan, Redont, Patrick

    ISSN: 1052-6234, 1095-7189
    Published: Philadelphia Society for Industrial and Applied Mathematics 01.01.2014
    Published in SIAM journal on optimization (01.01.2014)
    “…We introduce a new class of forward-backward algorithms for structured convex minimization problems in Hilbert spaces…”
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    Journal Article
  13. 13

    An energy minimization algorithm based on distributed dynamic clustering for long term evolution (LTE) heterogeneous networks by TONG En DING Fei PAN ZhiWen YOU XiaoHu

    ISSN: 1674-733X, 1869-1919
    Published: 2015
    “… In this paper, an energy minimization algorithm based on distributed dynamic clustering (DDCEM) with lower complexity, higher performance, and better adaptability for heterogeneous network…”
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    Journal Article
  14. 14

    A Dynamic Programming-Based, Path Balancing Technology Mapping Algorithm Targeting Area Minimization by Pasandi, Ghasem, Pedram, Massoud

    ISSN: 1558-2434
    Published: IEEE 01.11.2019
    “… for. This paper presents a dynamic programming-based technology mapping algorithm that generates a minimum-area mapping solution which is guaranteed to be fully path balanced…”
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    Conference Proceeding
  15. 15

    Identification of dynamic properties of a flooded ballast layer using impact excitation technique and minimization algorithm by Wangtawesap, Ratabhat, Chintanapakdee, Chatpan, Ngamkhanong, Chayut

    ISSN: 2662-2521, 2662-2521
    Published: Cham Springer International Publishing 01.12.2024
    “… Ballast dynamic properties play a crucial role in the analysis of the performance and safety of the railway system…”
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    Journal Article
  16. 16

    Boosting sharpness-aware training with dynamic neighborhood by Chen, Junhong, Li, Hong, Chen, C.L. Philip

    ISSN: 0031-3203, 1873-5142
    Published: Elsevier Ltd 01.09.2024
    Published in Pattern recognition (01.09.2024)
    “…Learning algorithms motivated by minimizing the sharpness of loss surface is a hot research topic in improving generalization…”
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    Journal Article
  17. 17

    A hybrid topology scale-free Gaussian-dynamic particle swarm optimization algorithm applied to real power loss minimization by Wang, Chuan, Liu, Yancheng, Zhao, Youtao, Chen, Yang

    ISSN: 0952-1976, 1873-6769
    Published: Elsevier Ltd 01.06.2014
    “…) optimization algorithm for real power loss minimization problem of power system. The swarm population is divided into two parts…”
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    Journal Article
  18. 18

    Protein structure comparisons using a combination of a genetic algorithm, dynamic programming and least-squares minimization by May, A C, Johnson, M S

    ISSN: 0269-2139
    Published: England 01.04.1994
    Published in Protein engineering (01.04.1994)
    “… A genetic algorithm is used to search for a near optimal solution of the rigid-body superposition of two whole protein structures…”
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    Journal Article
  19. 19

    Dynamic Programming on the Multidimensional Grid and Fast Search Algorithm for Energy Minimization in Stereo and Optical Flow by Karnaukhov, V. N., Kober, V. I., Mozerov, M. G., Zimina, L. V.

    ISSN: 1064-2269, 1555-6557
    Published: Moscow Pleiades Publishing 01.12.2021
    “… has been obtained for each sub-problem. A new modification of DP techniques, which we call extended dynamic programming for energy minimization (EDP…”
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    Journal Article
  20. 20

    Local minimization algorithms for dynamic programming equations by Kalise, Dante, Kröner, Axel, Kunisch, Karl

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 25.02.2015
    Published in arXiv.org (25.02.2015)
    “…The numerical realization of the dynamic programming principle for continuous-time optimal control leads to nonlinear Hamilton-Jacobi-Bellman equations which require the minimization of a nonlinear…”
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    Paper