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Journal articles on the topic 'Non-linear'

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Author: Grafiati
Published: 4 June 2021
Last updated: 14 September 2024

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1

Anděl, Martin. "Non-negative linear processes." Applications of Mathematics 36, no. 4 (1991): 277–83. http://dx.doi.org/10.21136/am.1991.104466.

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2

YOSHINE, KATSUMI, and NAOHIRO ISHII. "Non-linear analysis of a linear-non-linear-linear system." International Journal of Systems Science 23, no. 4 (April 1992): 623–30. http://dx.doi.org/10.1080/00207729208949235.

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3

Zborovsky, Garold E., and Polina A. Ambarova. "From Non-Linear Knowledge to Non-Linear Trust." Sociological Journal 25, no. 3 (2019): 176–87. http://dx.doi.org/10.19181/socjour.2019.25.3.6683.

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This article is devoted to disclosing the idea of trusting knowledge, which is laid out in the monograph “Trusting knowledge in conditions of social turbulence: risks, vulnerabilities, security challenges”. The genre of the article/review allowed for presenting the key positions of the sociological conception and the results of empirical research conducted by the book’s authors (the research team of MGIMO University under the guidance of Professor S.A. Kravchenko), as well as for interpreting them while taking into account our own theoretical and methodological approaches to the phenomenon of trust and the results of its research. The article deals with concepts that have become the basis for the book — the concept of institutional trust in knowledge systems, and the concept of how the dynamics of institutional trust impact the system of producing and spreading knowledge. Highlighted is the novelty and originality of the author’s interpretations of scientific knowledge dynamics — from linear to non-linear knowledge. Following this, we present our own interpretations of the problem of nonlinear trust — as a response to the ideas of the monograph’s authors on the dynamics of reflexive trust (from linear to non-linear). Special attention is paid to the criteria for evaluating scientific knowledge which bears credibility in the eyes of various social actors. The reflections on the book “Trusting knowledge in conditions of social turbulence: risks, vulnerabilities, security challenges” which this article/review contains fit into the broad context of the theoretical and methodological problems with studying the phenomenon of trust. Shown are possible paths for developing sociological research of trust, while taking into account the ideas presented in the monograph.
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4

Chen, D., M. I. Molina, and G. P. Tsironis. "Non-adiabatic non-linear impurities in linear hosts." Journal of Physics: Condensed Matter 5, no. 46 (November 15, 1993): 8689–702. http://dx.doi.org/10.1088/0953-8984/5/46/008.

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5

Möbius, P. "Non-linear superposition in non-linear evolution equations." Czechoslovak Journal of Physics 37, no. 9 (September 1987): 1041–55. http://dx.doi.org/10.1007/bf01597449.

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6

Chapman, M. J., K. R. Godfrey, M. J. Chappell, and N. D. Evans. "Structural identifiability of non-linear systems using linear/non-linear splitting." International Journal of Control 76, no. 3 (January 2003): 209–16. http://dx.doi.org/10.1080/0020717031000067420.

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7

Cheng, Long, Chenyu You, and Yani Guan. "Random Projections for Non-linear Dimensionality Reduction." International Journal of Machine Learning and Computing 6, no. 4 (August 2016): 220–25. http://dx.doi.org/10.18178/ijmlc.2016.6.4.601.

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8

Leung, A. Y. T., and T. C. Fung. "Linear-non-linear dynamic substructures." International Journal for Numerical Methods in Engineering 31, no. 5 (April 1991): 967–85. http://dx.doi.org/10.1002/nme.1620310510.

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9

Anand, Vijayakumar, Tomas Katkus, Soon Hock Ng, and Saulius Juodkazis. "Review of Fresnel incoherent correlation holography with linear and non-linear correlations [Invited]." Chinese Optics Letters 19, no. 2 (2021): 020501. http://dx.doi.org/10.3788/col202119.020501.

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10

Niu, Guo, and Zhengming Ma. "Local non‐linear alignment for non‐linear dimensionality reduction." IET Computer Vision 11, no. 5 (July 6, 2017): 331–41. http://dx.doi.org/10.1049/iet-cvi.2015.0441.

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11

Haughton, D. M. "On non-linear stability in unconstrained non-linear elasticity." International Journal of Non-Linear Mechanics 39, no. 7 (September 2004): 1181–92. http://dx.doi.org/10.1016/j.ijnonlinmec.2003.07.002.

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12

Goldstein, Gisèle Ruiz. "Non-linear singular diffusion with non-linear boundary conditions." Mathematical Methods in the Applied Sciences 16, no. 11 (November 1993): 779–98. http://dx.doi.org/10.1002/mma.1670161103.

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13

Badashah, Syed Jahangir, and Dr P. Subbaiah Dr. P. Subbaiah. "Non Linear Image Processing with Evolvable Hardware Filter." Indian Journal of Applied Research 3, no. 8 (October 1, 2011): 227–30. http://dx.doi.org/10.15373/2249555x/aug2013/74.

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14

Jayaprakash, Vytla, Dr Alok Kumar Rohit, and Ch Srinivas. "Non Linear Analysis of Diesel Engine Connecting Rod." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (October 31, 2018): 478–88. http://dx.doi.org/10.31142/ijtsrd18485.

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15

YAZ, ENGIN. "Linear state estimators for non-linear stochastic systems with noisy non-linear observations." International Journal of Control 48, no. 6 (December 1988): 2465–75. http://dx.doi.org/10.1080/00207178808906341.

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16

Williamson, Alan G., and Chris Woodford. "Solving Linear and Non-Linear Equations." Mathematical Gazette 78, no. 481 (March 1994): 85. http://dx.doi.org/10.2307/3619460.

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17

Buehrer, R. Michael, Steven P. Nicoloso, and Sridhar Gollamudi. "Linear versus non-linear interference cancellation." Journal of Communications and Networks 1, no. 2 (June 1999): 118–33. http://dx.doi.org/10.1109/jcn.1999.6596755.

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18

Johnson, W. B., B. Maurey, and G. Schechtman. "Non-linear factorization of linear operators." Bulletin of the London Mathematical Society 41, no. 4 (May 22, 2009): 663–68. http://dx.doi.org/10.1112/blms/bdp040.

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19

Broomhead, D. S., J. P. Huke, and M. R. Muldoon. "Linear Filters and Non-Linear Systems." Journal of the Royal Statistical Society: Series B (Methodological) 54, no. 2 (January 1992): 373–82. http://dx.doi.org/10.1111/j.2517-6161.1992.tb01887.x.

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20

Aliprantis, Charalambos D., Monique Florenzano, and Rabee Tourky. "Linear and non-linear price decentralization." Journal of Economic Theory 121, no. 1 (March 2005): 51–74. http://dx.doi.org/10.1016/j.jet.2004.04.007.

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21

Moynihan, C. T., S. N. Crichton, and S. M. Opalka. "Linear and non-linear structural relaxation." Journal of Non-Crystalline Solids 131-133 (June 1991): 420–34. http://dx.doi.org/10.1016/0022-3093(91)90335-4.

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22

Shur-Ofry, Michal. "Non-Linear Innovation." McGill Law Journal 61, no. 3 (November 11, 2016): 563–610. http://dx.doi.org/10.7202/1037967ar.

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Contemporary intellectual property theory concentrates on the cumulative and incremental nature of innovation and creation. A prevalent image depicts authors and inventors as “standing on the shoulders of giants.” This article focuses on a different type of innovation that has been largely overlooked by intellectual property theory and doctrine: innovation in the domains of science and art that breaks with convention, disputes existing paradigms, and “steps off” giants’ shoulders. I term it “non-linear innovation”. Drawing on multidisciplinary research ranging from the history of science, through network analysis of radical inventions, to studies of creativity, this article illuminates an embedded socio-cultural preference for incremental and linear novelty over paradigm-changing innovation. It then inquires whether intellectual property doctrine reflects this bias and whether the intellectual property regime can better foster non-linear innovation. The examination yields a series of counterintuitive recommendations concerning numerous patent and copyright law doctrines. More broadly, the analysis indicates that neither the “shoulders of giants” metaphor nor the opposite image of the “lone genius” adequately capture the dynamics of non-linear innovation. It further suggests that expanding intellectual property’s narrative of progress to accommodate non-linear innovation, alongside cumulative innovation, could significantly contribute to the ecosystem of innovation and creation.
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23

Purslow, E. J. "Non-Linear Circuits." Electronics and Power 33, no. 9 (1987): 587. http://dx.doi.org/10.1049/ep.1987.0359.

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24

Holly, Alberto, and Jan R. Magnus. "Non-Linear Estimation." Econometric Theory 2, no. 2 (August 1986): 297–300. http://dx.doi.org/10.1017/s0266466600011609.

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25

Antoniadis, I., E. Dudas, D. M. Ghilencea, and P. Tziveloglou. "Non-linear MSSM." Nuclear Physics B 841, no. 1-2 (December 2010): 157–77. http://dx.doi.org/10.1016/j.nuclphysb.2010.08.002.

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26

Barrio, R. A., and C. Varea. "Non-linear systems." Physica A: Statistical Mechanics and its Applications 372, no. 2 (December 2006): 210–23. http://dx.doi.org/10.1016/j.physa.2006.08.011.

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27

Trehan, S. K. "Non-linear waves." Vistas in Astronomy 31 (1988): 635–37. http://dx.doi.org/10.1016/0083-6656(88)90281-4.

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28

Loynes, R. M., G. A. F. Seber, and C. J. Wild. "Non-Linear Regression." Statistician 39, no. 4 (1990): 467. http://dx.doi.org/10.2307/2349091.

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29

Gat, E. "Non-linear sequencing." IEEE Aerospace and Electronic Systems Magazine 24, no. 3 (March 2009): 41–46. http://dx.doi.org/10.1109/maes.2009.4811088.

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30

Ikeda, Toshio. "Non-Linear Editing." Journal of the Institute of Television Engineers of Japan 49, no. 5 (1995): 625–34. http://dx.doi.org/10.3169/itej1978.49.625.

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31

Bajaj, Anil K. "Non-linear oscillations." Mechanism and Machine Theory 20, no. 3 (January 1985): 243. http://dx.doi.org/10.1016/0094-114x(85)90013-8.

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32

Amer, Y. A., and A. T. EL-Sayed. "VIBRATION SUPRESSION OF NON-LINEAR SYSTEM VIA NON-LINEAR ABSORBER." Menoufia Journal of Electronic Engineering Research 17, no. 1 (January 1, 2007): 59–77. http://dx.doi.org/10.21608/mjeer.2007.65201.

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33

Haddad, Wassim M., Vijaysekhar Chellaboina, Jerry L. Fausz, and Alexander Leonessa. "Optimal non-linear robust control for non-linear uncertain systems." International Journal of Control 73, no. 4 (January 2000): 329–42. http://dx.doi.org/10.1080/002071700219687.

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34

Zekovich, D. N. "Linear integrals of non-holonomic systems with non-linear constraints." Journal of Applied Mathematics and Mechanics 69, no. 6 (January 2005): 832–36. http://dx.doi.org/10.1016/j.jappmathmech.2005.11.004.

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35

Amer, Y. A., and A. T. EL-Sayed. "Vibration suppression of non-linear system via non-linear absorber." Communications in Nonlinear Science and Numerical Simulation 13, no. 9 (November 2008): 1948–63. http://dx.doi.org/10.1016/j.cnsns.2007.04.018.

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36

Palumbo, G., and S. Pennisi. "Harmonic distortion in non-linear amplifier with non-linear feedback." International Journal of Circuit Theory and Applications 26, no. 3 (May 1998): 293–99. http://dx.doi.org/10.1002/(sici)1097-007x(199805/06)26:3<293::aid-cta7>3.0.co;2-9.

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37

Garcia-Margallo, J., and J. D. Bejarano. "MELNIKOV'S METHOD FOR NON-LINEAR OSCILLATORS WITH NON-LINEAR EXCITATIONS." Journal of Sound and Vibration 212, no. 2 (April 1998): 311–19. http://dx.doi.org/10.1006/jsvi.1997.1443.

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38

Xu, Z., and Y. K. Cheung. "A non-linear seales method for strongly non-linear oscillators." Nonlinear Dynamics 7, no. 3 (April 1995): 285–99. http://dx.doi.org/10.1007/bf00046304.

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39

MA, X., M. F. A. AZEEZ, and A. F. VAKAKIS. "NON-LINEAR NORMAL MODES AND NON-PARAMETRIC SYSTEM IDENTIFICATION OF NON-LINEAR OSCILLATORS." Mechanical Systems and Signal Processing 14, no. 1 (January 2000): 37–48. http://dx.doi.org/10.1006/mssp.1999.1267.

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40

Butcher, J. C. "Linear and non-linear stability for general linear methods." BIT 27, no. 2 (June 1987): 181–89. http://dx.doi.org/10.1007/bf01934183.

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41

Vittorias, Iakovos, Dieter Lilge, Vitor Baroso, and Manfred Wilhelm. "Linear and non-linear rheology of linear polydisperse polyethylene." Rheologica Acta 50, no. 7-8 (June 24, 2011): 691–700. http://dx.doi.org/10.1007/s00397-011-0561-2.

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42

Ruelas-Gossi, Alejandro. "Strategy-zing in a Non-Linear World. A Non-Linear World." Nuevas Tendencias, no. 101 (January 6, 2019): 3–9. http://dx.doi.org/10.15581/022.37889.

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43

Luchaninov, A. I., and D. S. Gavva. "Non-Linear Effects in Wire Antennas with Non-Linear Surface Impedance." Telecommunications and Radio Engineering 65, no. 14 (2006): 1257–65. http://dx.doi.org/10.1615/telecomradeng.v65.i14.10.

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44

Agahi, Hamzeh, Adel Mohammadpour, Radko Mesiar, and S. Mansour Vaezpour. "Useful tools for non-linear systems: Several non-linear integral inequalities." Knowledge-Based Systems 49 (September 2013): 73–80. http://dx.doi.org/10.1016/j.knosys.2013.04.016.

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45

BROOKS, CHRIS. "Linear and Non-linear (Non-)Forecastability of High-frequency Exchange Rates." Journal of Forecasting 16, no. 2 (March 1997): 125–45. http://dx.doi.org/10.1002/(sici)1099-131x(199703)16:2<125::aid-for648>3.0.co;2-t.

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46

Zaballa, Ion, and Juan M. Gracia. "On difference linear periodic systems II. Non-homogeneous case." Applications of Mathematics 30, no. 6 (1985): 403–12. http://dx.doi.org/10.21136/am.1985.104170.

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47

Potocký, Rastislav, and Van Ban To. "On parameter-effects arrays in non-linear regression models." Applications of Mathematics 38, no. 2 (1993): 123–32. http://dx.doi.org/10.21136/am.1993.104539.

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48

Kopczewska, Katarzyna, and Mateusz Kopyt. "Non-linear corrections in market method of patent valuation." Business and Economic Horizons 10, no. 3 (October 29, 2014): 177–90. http://dx.doi.org/10.15208/beh.2014.15.

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49

Rasoava, Rijamampianina. "Executive compensation and firm performance: a non-linear relationship." Problems and Perspectives in Management 17, no. 2 (April 16, 2019): 1–17. http://dx.doi.org/10.21511/ppm.17(2).2019.01.

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In order to ensure profitability for shareholders, optimal contracting recommends the alignment between executive compensation and company performance. Large organizations have therefore adopted executives remuneration systems in order to induce positive market reaction and motivate executives. Complex compensation schemes are designed by Boards of Directors using strong pay-performance incentives that explain high levels of executive pay along with company size, demand for management skills and executive influence. However, the literature remains inconclusive on the pay-performance relationship owing to the various empirical methods used by researchers. Additionally, there has been little effort in the literature to compare methodologies on the pay-performance relationship. Using the dominant agency theory framework, the purpose of this study is to establish and examine the relationship between firm performance and executive pay. In addition, it intends to assess the characteristic of model specifications commonly adopted. To this aim, a quantitative analysis consisting of three complementary methods was performed on panel data from South African listed companies. The results of the main unrestricted first difference model indicate a strong non-linear relationship where the impact of current and previous firm performance on executive pay can be observed over 2 to 4-year period providing support to the optimal contracting theoretical perspective in the South African business context. In addition, CEO pay is more sensitive to firm performance as compared to Director pay. Lastly, although it affects executive pay levels, company size is not found to improve the pay-performance relationship.
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50

Hyland, Martin, and Christine Tasson. "The linear-non-linear substitution 2-monad." Electronic Proceedings in Theoretical Computer Science 333 (February 8, 2021): 215–29. http://dx.doi.org/10.4204/eptcs.333.15.

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