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Статті в журналах з теми "Gradient-free"

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Автор: Grafiati

Опубліковано: 20 червня 2021

Оновлено: 1 лютого 2022

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1

Yan, Liang, and Xiling Zou. "Gradient-free Stein variational gradient descent with kernel approximation." Applied Mathematics Letters 121 (November 2021): 107465. http://dx.doi.org/10.1016/j.aml.2021.107465.

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2

Lachenmaier, Nicolas, Daniel Baumgärtner, Heinz-Peter Schiffer, and Johannes Kech. "Gradient-Free and Gradient-Based Optimization of a Radial Turbine." International Journal of Turbomachinery, Propulsion and Power 5, no. 3 (July 6, 2020): 14. http://dx.doi.org/10.3390/ijtpp5030014.

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A turbocharger’s radial turbine has a strong impact on the fuel consumption and transient response of internal combustion engines. This paper summarizes the efforts to design a new radial turbine aiming at high efficiency and low inertia by applying two different optimization techniques to a parametrized CAD model. The first workflow wraps 3D fluid and solid simulations within a meta-model assisted genetic algorithm to find an efficient turbine subjected to several constraints. In the next step, the chosen turbine is re-parametrized and fed into the second workflow which makes use of a gradient projection algorithm to further fine-tune the design. This requires the computation of gradients with respect to the CAD parametrization, which is done by calculating and combining surface sensitivities and design velocities. Both methods are applied successfully, i.e., the first delivers a well-performing turbine, which, by the second method, is further improved by 0.34% in efficiency.

3

Carriero, M., A. Leaci, and F. Tomarelli. "Free gradient discontinuity and image inpainting." Journal of Mathematical Sciences 181, no. 6 (March 2012): 805–19. http://dx.doi.org/10.1007/s10958-012-0716-4.

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4

Pappas, Nathaniel. "Rank Gradient andp-gradient of Amalgamated Free Products and HNN Extensions." Communications in Algebra 43, no. 10 (July 6, 2015): 4515–27. http://dx.doi.org/10.1080/00927872.2014.948631.

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5

Bosch, Jaime, and Juan Carlos García-Pagán. "Calculating Hepatic Venous Pressure Gradient: Feel Free to Stay Free." Journal of Vascular and Interventional Radiology 27, no. 8 (August 2016): 1138–39. http://dx.doi.org/10.1016/j.jvir.2016.03.048.

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6

Garg, Anupam. "Singular gradient free energy of superfluidA3atT=0." Physical Review B 36, no. 13 (November 1, 1987): 6794–98. http://dx.doi.org/10.1103/physrevb.36.6794.

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7

Diest, Kenneth, Luke A. Sweatlock, and Daniel E. Marthaler. "Metamaterials design using gradient-free numerical optimization." Journal of Applied Physics 108, no. 8 (October 15, 2010): 084303. http://dx.doi.org/10.1063/1.3498816.

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8

Mondal, Arindam, and Laxmidhar Behera. "Gradient-Based Collision Free Desired Formation Generation." IFAC Proceedings Volumes 47, no. 1 (2014): 448–54. http://dx.doi.org/10.3182/20140313-3-in-3024.00241.

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9

De Silva, Daniela, and David Jerison. "A gradient bound for free boundary graphs." Communications on Pure and Applied Mathematics 64, no. 4 (December 13, 2010): 538–55. http://dx.doi.org/10.1002/cpa.20354.

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10

Huang, C., J. M. Lei, M. B. Liu, and X. Y. Peng. "A kernel gradient free (KGF) SPH method." International Journal for Numerical Methods in Fluids 78, no. 11 (April 21, 2015): 691–707. http://dx.doi.org/10.1002/fld.4037.

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11

Tian, Jingxuan, Yibo Gao, Bingpu Zhou, Wenbin Cao, Xiaoxiao Wu, and Weijia Wen. "A valve-free 2D concentration gradient generator." RSC Advances 7, no. 45 (2017): 27833–39. http://dx.doi.org/10.1039/c7ra02139a.

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12

Wang, B., K. Aihara, and L. Chen. "Jamming in weighted scale-free gradient networks." EPL (Europhysics Letters) 83, no. 2 (July 2008): 28006. http://dx.doi.org/10.1209/0295-5075/83/28006.

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13

Ji, Hao, and Yaohang Li. "A breakdown-free block conjugate gradient method." BIT Numerical Mathematics 57, no. 2 (October 5, 2016): 379–403. http://dx.doi.org/10.1007/s10543-016-0631-z.

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14

Li, Jueyou, Changzhi Wu, Zhiyou Wu, and Qiang Long. "Gradient-free method for nonsmooth distributed optimization." Journal of Global Optimization 61, no. 2 (March 25, 2014): 325–40. http://dx.doi.org/10.1007/s10898-014-0174-2.

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15

Kumar, G. Naresh, Md Shafeeq Ahmed, A. K. Sarkar, and S. E. Talole. "Reentry Trajectory Optimization using Gradient Free Algorithms." IFAC-PapersOnLine 51, no. 1 (2018): 650–55. http://dx.doi.org/10.1016/j.ifacol.2018.05.109.

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16

Nesterov, Yurii, and Vladimir Spokoiny. "Random Gradient-Free Minimization of Convex Functions." Foundations of Computational Mathematics 17, no. 2 (November 30, 2015): 527–66. http://dx.doi.org/10.1007/s10208-015-9296-2.

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17

Jennrich, Robert I. "Derivative free gradient projection algorithms for rotation." Psychometrika 69, no. 3 (September 2004): 475–80. http://dx.doi.org/10.1007/bf02295647.

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18

Heung Soo Kim, Jaehun Lee, and Maenghyo Cho. "CM-KR-2 Reduction of Free-Edge Peeling Stress in Laminated Composites Using Thermal Gradient." Proceedings of Mechanical Engineering Congress, Japan 2012 (2012): _CM—KR—2–1—_CM—KR—2–2. http://dx.doi.org/10.1299/jsmemecj.2012._cm-kr-2-1.

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19

Farup, Ivar. "Individualised Halo-Free Gradient-Domain Colour Image Daltonisation." Journal of Imaging 6, no. 11 (October 29, 2020): 116. http://dx.doi.org/10.3390/jimaging6110116.

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Daltonisation refers to the recolouring of images such that details normally lost by colour vision deficient observers become visible. This comes at the cost of introducing artificial colours. In a previous work, we presented a gradient-domain colour image daltonisation method that outperformed previously known methods both in behavioural and psychometric experiments. In the present paper, we improve the method by (i) finding a good first estimate of the daltonised image, thus reducing the computational time significantly, and (ii) introducing local linear anisotropic diffusion, thus effectively removing the halo artefacts. The method uses a colour vision deficiency simulation algorithm as an ingredient, and can thus be applied for any colour vision deficiency, and can even be individualised if the exact individual colour vision is known.

20

Amstutz, Samuel, and Nicolas Van Goethem. "Topology optimization methods with gradient-free perimeter approximation." Interfaces and Free Boundaries 14, no. 3 (2012): 401–30. http://dx.doi.org/10.4171/ifb/286.

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21

Rasoulianboroujeni, Morteza, Mostafa Yazdimamaghani, Payam Khoshkenar, Venkata Raveendra Pothineni, Kwang Min Kim, Teresa A. Murray, Jayakumar Rajadas, et al. "From solvent-free microspheres to bioactive gradient scaffolds." Nanomedicine: Nanotechnology, Biology and Medicine 13, no. 3 (April 2017): 1157–69. http://dx.doi.org/10.1016/j.nano.2016.10.008.

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22

Sengupta, Biswa, Karl J. Friston, and Will D. Penny. "Gradient-free MCMC methods for dynamic causal modelling." NeuroImage 112 (May 2015): 375–81. http://dx.doi.org/10.1016/j.neuroimage.2015.03.008.

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23

Ko, Young-Gwang, Carlos C. Co, and Chia-Chi Ho. "Gradient-free directional cell migration in continuous microchannels." Soft Matter 9, no. 8 (2013): 2467–74. http://dx.doi.org/10.1039/c2sm27567h.

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24

Pan, Gui-Jun, Xiao-Qing Yan, Zhong-Bing Huang, and Wei-Chuan Ma. "Gradient networks on uncorrelated random scale-free networks." Physica Scripta 83, no. 3 (March 1, 2011): 035803. http://dx.doi.org/10.1088/0031-8949/83/03/035803.

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25

Po, Giacomo, Markus Lazar, Dariush Seif, and Nasr Ghoniem. "Singularity-free dislocation dynamics with strain gradient elasticity." Journal of the Mechanics and Physics of Solids 68 (August 2014): 161–78. http://dx.doi.org/10.1016/j.jmps.2014.03.005.

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26

Burago, N. G., and I. S. Nikitin. "Matrix-Free Conjugate Gradient Implementation of Implicit Schemes." Computational Mathematics and Mathematical Physics 58, no. 8 (August 2018): 1247–58. http://dx.doi.org/10.1134/s0965542518080043.

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27

Grushkovska, V. V. "Gradient-free control algorithms for dynamic optimization problems." Visnik Nacional'noi' academii' nauk Ukrai'ni 08 (August 20, 2018): 66–75. http://dx.doi.org/10.15407/visn2018.08.066.

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28

Li, Jueyou, Guoquan Li, Zhiyou Wu, Changzhi Wu, Xiangyu Wang, Jae-Myung Lee, and Kwang-Hyo Jung. "Incremental gradient-free method for nonsmooth distributed optimization." Journal of Industrial & Management Optimization 13, no. 4 (2017): 1841–57. http://dx.doi.org/10.3934/jimo.2017021.

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29

Lin, Yi-Hsin, Chih-Ming Yang, Chun-Hsiang Lo, Yan-Rung Lin, Shie-Chang Jeng, and Chi-Chang Liao. "Polarizer-Free Gradient Dye-Doped Liquid Crystal Gels." Molecular Crystals and Liquid Crystals 511, no. 1 (September 8, 2009): 309/[1779]—318/[1788]. http://dx.doi.org/10.1080/15421400903054402.

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30

Rosenau, Philip. "Free-energy functionals at the high-gradient limit." Physical Review A 41, no. 4 (February 1, 1990): 2227–30. http://dx.doi.org/10.1103/physreva.41.2227.

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31

Ilinsky, Roman. "Gradient-index meniscus lens free of spherical aberration." Journal of Optics A: Pure and Applied Optics 2, no. 5 (July 31, 2000): 449–51. http://dx.doi.org/10.1088/1464-4258/2/5/316.

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32

Pinto, Jefferson Wellano Oliveira, Juan Alberto Rojas Tueros, Bernardo Horowitz, Silvana Maria Bastos Afonso da Silva, Ramiro Brito Willmersdorf, and Diego Felipe Barbosa de Oliveira. "Gradient-free strategies to robust well control optimization." Computational Geosciences 24, no. 6 (September 6, 2019): 1959–78. http://dx.doi.org/10.1007/s10596-019-09888-7.

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33

de Bruin, Tim, Jens Kober, Karl Tuyls, and Robert Babuška. "Fine-tuning Deep RL with Gradient-Free Optimization." IFAC-PapersOnLine 53, no. 2 (2020): 8049–56. http://dx.doi.org/10.1016/j.ifacol.2020.12.2240.

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34

Zhou, Xiangkui, Yan Wang, Renru Wang, Kai Wang, Qiang Wang, Jianxiu Liu, and Zhiling Xiao. "Preparation and microstructure of layered structure functional gradient cemented carbides." Functional Materials Letters 12, no. 04 (August 2019): 1950053. http://dx.doi.org/10.1142/s179360471950053x.

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In this study, ultrafine WC powder was used as raw material, cubic carbonitrides Ti(C,N) and (W,Ti)C were added as gradient former, the cemented carbides with cubic carbide free layer (CCFL) structure was prepared by two-step sintering which was pre-sintering combined gradient sintering. The effect of gradient sintering temperature on the free-cubic layer structure formation and grain growth was studied. The results show that the layer structure gradient-cemented carbide with free-cubic phase in the surface can be prepared by two-step sintering when the ultrafine WC powder was used as raw material. However, many abnormal WC grains appeared after pre-sintering and gradient sintering. In the process of gradient sintering, with the increase of gradient sintering temperature, the thickness of free-cubic phase layer does not increase obviously, but the grain size of WC increases more, especially the number and size of abnormal WC grains growth increased.

35

Toğan, Vedat. "Optimization of Monopod Offshore Tower under Uncertainties with Gradient-Based and Gradient-Free Optimization Algorithms." Advances in Structural Engineering 15, no. 12 (December 2012): 2021–32. http://dx.doi.org/10.1260/1369-4332.15.12.2021.

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36

D. MILLER, DEBORAH, DALE A. CALLAHAM, DAVID J. GROSS, and PETER K. HEPLER. "Free Ca2+ Gradient in Growing Pollen Tubes of Lillium." Journal of Cell Science 101, no. 1 (January 1, 1992): 7–12. http://dx.doi.org/10.1242/jcs.101.1.7.

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Fluorescence ratiometric imaging of Lilium pollen tubes loaded with the Ca2+ indicator Fura-2 dextran has revealed a distinct elevation of free intracellular calcium ion concentration ([Ca2+]i) at the extreme tip of actively growing Lilium pollen tubes that declines to a uniform basal level of 170 nM throughout the length of the tube. The calcium gradient occurs within the first 10–20 μm proximal to the tip. Experimental inhibition of tip growth, usually achieved through the injection of the Ca2+ buffer 5,5′-dibromo BAPTA, results in the loss of the [Ca2+]i gradient. Occasionally these inhibited cells reinitiate growth, and when they do so ratio imaging reveals that the tip gradient of free [Ca2+]i re-emerges. The results presented here are very different from those previously published by revealing the presence of the [Ca2+]i gradient that is restricted to the 10–20 μm adjacent to the tube tip. Further, these experiments demonstrate a strict correlation between the presence of a [Ca2+]i gradient, and tip growth in Lilium pollen tubes.

37

Xie, Jiahao, Zebang Shen, Chao Zhang, Boyu Wang, and Hui Qian. "Efficient Projection-Free Online Methods with Stochastic Recursive Gradient." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 6446–53. http://dx.doi.org/10.1609/aaai.v34i04.6116.

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This paper focuses on projection-free methods for solving smooth Online Convex Optimization (OCO) problems. Existing projection-free methods either achieve suboptimal regret bounds or have high per-round computational costs. To fill this gap, two efficient projection-free online methods called ORGFW and MORGFW are proposed for solving stochastic and adversarial OCO problems, respectively. By employing a recursive gradient estimator, our methods achieve optimal regret bounds (up to a logarithmic factor) while possessing low per-round computational costs. Experimental results demonstrate the efficiency of the proposed methods compared to state-of-the-arts.

38

Avramov, K. V., M. V. Chernobryvko, and B. V. Uspensky. "Free vibrations of functionally gradient CNT-infused cylindrical shells." Kosmìčna nauka ì tehnologìâ 25, no. 2 (May 20, 2019): 23–37. http://dx.doi.org/10.15407/knit2019.02.023.

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39

Kuriplach, Jan, and Bernardo Barbiellini. "Parameter-Free Gradient Correction for Positron States in Oxides." Defect and Diffusion Forum 373 (March 2017): 35–40. http://dx.doi.org/10.4028/www.scientific.net/ddf.373.35.

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Recently, the theory of gradient-corrected electron-positron correlations in solids was improved and extended in order to avoid the adjustable, empirical parameter α which is now part of theory and a smooth function of the electron density.This new, parameter-free approach is applied to selected oxides in order to discuss their interstitial space morphology reflected by the positron charge distribution. In addition, the positron lifetime and affinity are calculated using a highly precise computational method. An attempt is made to correlate these quantities with the volume of the reduced formula unit.The results for some oxides - such as Li-ion battery cathode materials and high temperature superconductors - are discussed in detail and prospects for future experiments are given.

40

Goel, Ankit, and Dennis S. Bernstein. "Gradient-, Ensemble-, and Adjoint-Free Data-Driven Parameter Estimation." Journal of Guidance, Control, and Dynamics 42, no. 8 (August 2019): 1743–54. http://dx.doi.org/10.2514/1.g004158.

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41

Hung, Pei-Sung, Chen-Hong Liao, Bo-Han Huang, Wei-An Chung, Shou-Yi Chang, and Pu-Wei Wu. "Formation of Free-Standing Inverse Opals with Gradient Pores." Nanomaterials 10, no. 10 (September 26, 2020): 1923. http://dx.doi.org/10.3390/nano10101923.

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We demonstrate the fabrication of free-standing inverse opals with gradient pores via a combination of electrophoresis and electroplating techniques. Our processing scheme starts with the preparation of multilayer colloidal crystals by conducting sequential electrophoresis with polystyrene (PS) microspheres in different sizes (300, 600, and 1000 nm). The critical factors affecting the stacking of individual colloidal crystals are discussed and relevant electrophoresis parameters are identified so the larger PS microspheres are assembled successively atop of smaller ones in an orderly manner. In total, we construct multilayer colloidal crystals with vertical stacking of microspheres in 300/600, 300/1000, and 300/600/1000 nm sequences. The inverse opals with gradient pores are produced by galvanostatic plating of Ni, followed by the selective removal of colloidal template. Images from scanning electron microscopy exhibit ideal multilayer close-packed structures with well-defined boundaries among different layers. Results from porometer analysis reveal the size of bottlenecks consistent with those of interconnected pore channels from inverse opals of smallest PS microspheres. Mechanical properties determined by nanoindentation tests indicate significant improvements for multilayer inverse opals as compared to those of conventional single-layer inverse opals.

42

Turgeon, Ryan T., Bryan R. Fonslow, Meng Jing, and Michael T. Bowser. "Measuring Aptamer Equilibria Using Gradient Micro Free Flow Electrophoresis." Analytical Chemistry 82, no. 9 (May 2010): 3636–41. http://dx.doi.org/10.1021/ac902877v.

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43

Berkovic, Patrick, Leen Paelinck, Katrien Vandecasteele, Akos Gulyban, Carlos De Wagter, Bruno Goddeeris, and Yolande Lievens. "P2.05-017 Tumor Regression Gradient Predicts Disease Free Survival." Journal of Thoracic Oncology 12, no. 1 (January 2017): S1040—S1041. http://dx.doi.org/10.1016/j.jtho.2016.11.1451.

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44

Chen, Yuntian, Haibin Chang, Jin Meng, and Dongxiao Zhang. "Ensemble Neural Networks (ENN): A gradient-free stochastic method." Neural Networks 110 (February 2019): 170–85. http://dx.doi.org/10.1016/j.neunet.2018.11.009.

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45

Forest, Samuel, and Nicolas Guéninchault. "Inspection of free energy functions in gradient crystal plasticity." Acta Mechanica Sinica 29, no. 6 (December 2013): 763–72. http://dx.doi.org/10.1007/s10409-013-0088-0.

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46

Ko, Young-Gwang, Carlos C. Co, and Chia-Chi Ho. "Correction: Gradient-free directional cell migration in continuous microchannels." Soft Matter 14, no. 20 (2018): 4213. http://dx.doi.org/10.1039/c8sm90083c.

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47

Safdari, Mohammad. "The free boundary of variational inequalities with gradient constraints." Nonlinear Analysis: Theory, Methods & Applications 123-124 (August 2015): 1–22. http://dx.doi.org/10.1016/j.na.2015.04.009.

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48

Ding, Haibo, Cihui Liu, Baofen Ye, Fanfan Fu, Huan Wang, Yuanjin Zhao, and Zhongze Gu. "Free-Standing Photonic Crystal Films with Gradient Structural Colors." ACS Applied Materials & Interfaces 8, no. 11 (March 14, 2016): 6796–801. http://dx.doi.org/10.1021/acsami.6b01991.

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49

Lengyel, I., S. Kadar, and I. R. Epstein. "Transient Turing Structures in a Gradient-Free Closed System." Science 259, no. 5094 (January 22, 1993): 493–95. http://dx.doi.org/10.1126/science.259.5094.493.

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50

Pan, Gui-Jun, Xiao-Qing Yan, Wei-Chuan Ma, Yi-Hui Luo, and Zhong-Bing Huang. "Effects of degree correlation on scale-free gradient networks." Physica Scripta 81, no. 5 (April 23, 2010): 055804. http://dx.doi.org/10.1088/0031-8949/81/05/055804.

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