Relevant bibliographies by topics / Non-linear function

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Non-linear function'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Non-linear function"

1

Hruby, Milan, Melvin L. Hamre, and Craig N. Coon. "Non-Linear and Linear Function in Body Protein Growth." Journal of Applied Poultry Research 5, no. 2 (1996): 109–15. http://dx.doi.org/10.1093/japr/5.2.109.

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Facchinetti, G., S. Giove, and N. Pacchiarotti. "Optimisation of a non linear fuzzy function." Soft Computing - A Fusion of Foundations, Methodologies and Applications 6, no. 6 (2002): 476–80. http://dx.doi.org/10.1007/s00500-002-0164-z.

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Dahiya, Kalpana, and Vanita Verma. "Paradox in a non-linear capacitated transportation problem." Yugoslav Journal of Operations Research 16, no. 2 (2006): 189–210. http://dx.doi.org/10.2298/yjor0602189d.

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This paper discusses a paradox in fixed charge capacitated transportation problem where the objective function is the sum of two linear fractional functions consisting of variables costs and fixed charges respectively. A paradox arises when the transportation problem admits of an objective function value which is lower than the optimal objective function value, by transporting larger quantities of goods over the same route. A sufficient condition for the existence of a paradox is established. Paradoxical range of flow is obtained for any given flow in which the corresponding objective function
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Langley, J. K. "Pairs of non-homogeneous linear differential polynomials." Proceedings of the Royal Society of Edinburgh: Section A Mathematics 136, no. 4 (2006): 785–94. http://dx.doi.org/10.1017/s0308210500004728.

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Let f be transcendental and meromorphic in the plane and let the non-homogeneous linear differential polynomials F and G be defined by where k,n ∈ N and a, b and the aj, bj are rational functions. Under the assumption that F and G have few zeros, it is shown that either F and G reduce to homogeneous linear differential polynomials in f + c, where c is a rational function that may be computed explicitly, or f has a representation as a rational function in solutions of certain associated linear differential equations, which again may be determined explicitly from the aj, bj and a and b.
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KENOUFI, Abdelouahab, and Michel GONDRAN. "(min,+)-wavelets for non-linear analysis." TEMA (São Carlos) 15, no. 3 (2014): 261. http://dx.doi.org/10.5540/tema.2014.015.03.0261.

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<pre>For all function f : Rn to R one introduces (min; +)-wavelets which are lower and upper hulls build from (min; +) analysis.</pre><pre>One shows at theoretical level and on numerical applications for the Weierstrass functions, </pre><pre>that (min, +)-wavelets decomposition opens a non-linear branch to the multi-resolution analysis of a signal, </pre><pre>in particular for the Hölder exponents calculation and Empirical Mode Decomposition (EMD).<br /></pre>
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Jing, X. J., Z. Q. Lang, and S. A. Billings. "Frequency domain analysis for non-linear Volterra systems with a general non-linear output function." International Journal of Control 81, no. 2 (2008): 235–51. http://dx.doi.org/10.1080/00207170701516389.

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Monteiro, Paulo Klinger, and Frank H. Page. "Non-linear pricing with a general cost function." Economics Letters 52, no. 3 (1996): 287–91. http://dx.doi.org/10.1016/s0165-1765(96)00878-6.

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Colombo, Stefano. "Location choices with a non-linear demand function." Papers in Regional Science 95 (April 22, 2014): S215—S226. http://dx.doi.org/10.1111/pirs.12122.

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Muscolino, G., G. Ricciardi, and M. Vasta. "Stationary and non-stationary probability density function for non-linear oscillators." International Journal of Non-Linear Mechanics 32, no. 6 (1997): 1051–64. http://dx.doi.org/10.1016/s0020-7462(96)00134-5.

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Harina, Waghamore P., and S. Rajeshwari. "Non-Linear Differential Polynomials Sharing Small Function with Finite Weight." Fasciculi Mathematici 58, no. 1 (2017): 57–75. http://dx.doi.org/10.1515/fascmath-2017-0005.

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AbstractThe purpose of the paper is to study the uniqueness of entire and meromorphic functions sharing a small function with finite weight. The results of the paper improve and extend some recent results due to Abhijit Banerjee and Pulak Sahoo [3].
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Dissertations / Theses on the topic "Non-linear function"

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Desai, Dileep Reddy. "Analog Non-Linear Multi-Variable Function Evaluation By Piece-wise Linear Approximation." University of Akron / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=akron1280110386.

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Fischer, Manfred M. "Neural networks. A general framework for non-linear function approximation." Wiley-Blackwell, 2006. http://epub.wu.ac.at/5493/1/NeuralNetworks.pdf.

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The focus of this paper is on the neural network modelling approach that has gained increasing recognition in GIScience in recent years. The novelty about neural networks lies in their ability to model non-linear processes with few, if any, a priori assumptions about the nature of the data-generating process. The paper discusses some important issues that are central for successful application development. The scope is limited to feedforward neural networks, the leading example of neural networks. It is argued that failures in applications can usually be attributed to inadequate learning and/o
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von, Braun-Bates F. "Non-linear gravitational collapse in extended gravity theories." Thesis, University of Oxford, 2017. http://ora.ox.ac.uk/objects/uuid:910fd25d-38e0-4bd4-84cf-bf5c196c8f99.

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General Relativity (GR) is one theory amongst a wider range of plausible descriptions of the Universe. The aim of this thesis is to examine the behaviour of so-called screened theories, which are designed to avoid local tests of modified gravity (MG). We establish that these theories may be treated in a unified manner in the context of halo formation. A prerequisite for this is the clarification that the quasi-static approximation can be applied in cosmologically-plausible scenarios. Amongst the plethora of MG theories, we select three, each of which exhibit a different form of screening. This
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Morad, Farhad. "Non-linear Curve Fitting." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-43600.

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The work done in this thesis is to examine various methods for curve fitting. Linear least squares and non-linear least squares will be described and compared, and the Newton method, Gauss--Newton method and Levenberg--Marquardt method will be applied to example problems.<br>Syftet med denna uppsats är att beskriva och använda olika metoder för kurvanpassning, det vill säga att passa matematiska funktioner till data. De metoder som undersöks är Newtons metod, Gauss--Newton metoden och Levenberg--Marquardt metoden. Även skillnaden mellan linjär minsta kvadrat anpassning och olinjär minsta kvadr
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Mahmood, Khalid. "Constrained linear and non-linear adaptive equalization techniques for MIMO-CDMA systems." Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/10203.

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Researchers have shown that by combining multiple input multiple output (MIMO) techniques with CDMA then higher gains in capacity, reliability and data transmission speed can be attained. But a major drawback of MIMO-CDMA systems is multiple access interference (MAI) which can reduce the capacity and increase the bit error rate (BER), so statistical analysis of MAI becomes a very important factor in the performance analysis of these systems. In this thesis, a detailed analysis of MAI is performed for binary phase-shift keying (BPSK) signals with random signature sequence in Raleigh fading envi
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Green, Paul Elijah. "View-dependent precomputed light transport using non-linear Gaussian function approximations." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/35605.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2006.<br>Includes bibliographical references (p. 43-46).<br>We propose a real-time method for rendering rigid objects with complex view-dependent effects under distant all-frequency lighting. Existing precomputed light transport approaches can render rich global illumination effects, but high-frequency view-dependent effects such as sharp highlights remain a challenge. We introduce a new representation of the light transport operator based on sums of Gaussians. The non-linear pa
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Driss, Mohamed Naoufel. "Non-linear PCA Based on Radial Basis Function and Particle Swarm Optimization." Fogler Library, University of Maine, 2005. http://www.library.umaine.edu/theses/pdf/DrissMN2005.pdf.

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Hong, Xia. "Non-linear time series modelling and prediction with radial basis function network based algorithms." Thesis, University of Sheffield, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286888.

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Fathala, Giuma Musbah. "Analysis and implementation of radial basis function neural network for controlling non-linear dynamical systems." Thesis, University of Newcastle upon Tyne, 1998. http://hdl.handle.net/10443/3114.

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Modelling and control of non-linear systems are not easy, which are now being solved by the application of neural networks. Neural networks have been proved to solve these problems as they are described by adjustable parameters which are readily adaptable online. Many types of neural networks have been used and the most common one is the backpropagation algorithm. The algorithm has some disadvantages, such as slow convergence and construction complexity. An alternative neural networks to overcome the limitations associated with the backpropagation algorithm is the Radial Basis Function Network
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Page, George. "Modification and design of non-linear system behaviour using fuzzy logic and describing function methods." Thesis, Liverpool John Moores University, 2011. http://researchonline.ljmu.ac.uk/6002/.

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Books on the topic "Non-linear function"

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Gaven, Martin, ed. Geometric function theory and non-linear analysis. Clarendon, 2001.

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Taylor, A. N. Non-linear cosmological power spectra in real and redshift space. National Aeronautics and Space Administration, 1996.

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Taylor, A. N. Non-linear cosmological power spectra in real and redshift space. National Aeronautics and Space Administration, 1996.

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Taylor, A. N. Non-linear cosmological power spectra in real and redshift space. National Aeronautics and Space Administration, 1996.

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Taylor, A. N. Non-linear cosmological power spectra in real and redshift space. National Aeronautics and Space Administration, 1996.

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Crotin, David L. A non-linear scaling function with application to a scalable human head model. National Library of Canada, 1994.

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Chen, S. A recursive hybrid algorithm for non-linear system identification using radial basis function networks. University of Sheffield, Dept. of Control Engineering, 1991.

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Danmarks tekniske højskole. Numerisk institut., ed. Minimization of non-linear approximation functions. Institute for Numerical Analysis, Technical University of Denmark, 1985.

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Linear and non-linear theory of generalized functions and its applications. Institute of Mathematics, Polish Academy of Sciences, 2010.

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service), SpringerLink (Online, ed. Problems in Non-Linear Analysis. Springer-Verlag Berlin Heidelberg, 2011.

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Book chapters on the topic "Non-linear function"

1

Guelachvili, G., and N. Picqué. "Table 40. D2 16O (D16OD): Internal partition function." In Non-linear Triatomic Molecules. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41449-7_42.

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DeVore, R. A., and V. A. Popov. "Interpolation spaces and non-linear approximation." In Function Spaces and Applications. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/bfb0078875.

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Lavallée, D., D. Schertzer, and S. Lovejoy. "On the Determination of the Codimension Function." In Non-Linear Variability in Geophysics. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-009-2147-4_7.

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Guelachvili, G., and N. Picqué. "Table 13. H2 17O (H17OH): Fit coefficients c ijk of the morphing function." In Non-linear Triatomic Molecules. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32188-7_15.

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Guelachvili, G., and N. Picqué. "Table 68. H2 18O (H18OH): Fit coefficients c ijk of the morphing function." In Non-linear Triatomic Molecules. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32188-7_70.

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Guelachvili, G., and N. Picqué. "Table 31. D2 16O (D16OD): Fit coefficients c ijk of the morphing function." In Non-linear Triatomic Molecules. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41449-7_33.

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Guelachvili, G., and N. Picqué. "Table 29. H2 16O (H16OH): Fit coefficients c ijk of the morphing function." In Non-linear Triatomic Molecules. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-47383-1_31.

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Guelachvili, G., and N. Picqué. "Table 35. H2 16O (H16OH): Fit coefficients c ijk of the morphing function." In Non-linear Triatomic Molecules. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-47383-1_37.

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Guelachvili, G., and N. Picqué. "Table 43. H2 16O (H16OH): Quartic Potential Energy Function (PEF) in internal coordinates." In Non-linear Triatomic Molecules. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-47383-1_45.

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Guelachvili, G., and N. Picqué. "Table 14. H2 16O (H16OH): Calculated internal partition function and moments in the 100 K –6000 K temperature domain." In Non-linear Triatomic Molecules. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-47383-1_16.

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Conference papers on the topic "Non-linear function"

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Nowak, Marian, and Agnieszka Oelke. "Linear operators on non-locally convex Orlicz spaces." In Function Spaces VIII. Institute of Mathematics Polish Academy of Sciences, 2007. http://dx.doi.org/10.4064/bc79-0-12.

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Gkouti, Elli, Burak Yenigun, Krystof Jankowski, and Aleksander Czekanski. "Non-Linear Poisson Function for Natural Rubbers." In Canadian Society for Mechanical Engineering International Congress (2020 : Charlottetown, PE). University of Prince Edward Island. Robertson Library, 2020. http://dx.doi.org/10.32393/csme.2020.69.

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Pieters, D. A., and R. M. Graves. "Fracture Relative Permeability: Linear or Non-Linear Function of Saturation." In International Petroleum Conference and Exhibition of Mexico. Society of Petroleum Engineers, 1994. http://dx.doi.org/10.2118/28701-ms.

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Lei, Zhang, and Zhang Zong-cheng. "Non-linear model for China's money demand function." In 2010 2nd IEEE International Conference on Information and Financial Engineering (ICIFE). IEEE, 2010. http://dx.doi.org/10.1109/icife.2010.5609491.

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Guo, Ce, Wayne Luk, and Wenguang Xu. "Non-linear function evaluation reusing matrix-vector multipliers." In 2019 IEEE 13th International Conference on ASIC (ASICON). IEEE, 2019. http://dx.doi.org/10.1109/asicon47005.2019.8983557.

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Bhateja, Vikrant, Gopal Singh, Atul Srivastava, and Jay Singh. "Despeckling of ultrasound images using non-linear conductance function." In 2014 International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2014. http://dx.doi.org/10.1109/spin.2014.6777049.

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Filip, J., and M. Haindl. "Non-linear reflectance model for bidirectional texture function synthesis." In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. IEEE, 2004. http://dx.doi.org/10.1109/icpr.2004.1334011.

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Wang, Qiyao, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, and Hamed Khorasgani. "A Non-linear Function-on-Function Model for Regression with Time Series Data." In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9378087.

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Pal, Chris, Brendan Frey, and Trausti Kristjansson. "Noise robust speech recognition using Gaussian basis functions for non-linear likelihood function approximation." In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5743740.

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Pal, Frey, and Krisyansson. "Noise robust speech recognition using Gaussian basis functions for non-linear likelihood function approximation." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1005762.

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Reports on the topic "Non-linear function"

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Ho, Hwai-Chung, and Tze-Chien Sun. Limiting Distributions of Non-Linear Vector Functions of Stationary Gaussian Processes. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada194569.

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