Готові списки джерел за темами / Model mathematical nonlinear

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Добірка наукової літератури з теми "Model mathematical nonlinear"

Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 31 травня 2022

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Статті в журналах з теми "Model mathematical nonlinear"

1

Favrie, N., and S. Gavrilyuk. "Mathematical and numerical model for nonlinear viscoplasticity." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 369, no. 1947 (July 28, 2011): 2864–80. http://dx.doi.org/10.1098/rsta.2011.0099.

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A macroscopic model describing elastic–plastic solids is derived in a special case of the internal specific energy taken in separable form: it is the sum of a hydrodynamic part depending only on the density and entropy, and a shear part depending on other invariants of the Finger tensor. In particular, the relaxation terms are constructed compatible with the von Mises yield criteria. In addition, Maxwell-type material behaviour is shown up: the deviatoric part of the stress tensor decays during plastic deformations. Numerical examples show the ability of this model to deal with real physical phenomena.
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2

Konopleva, Irina V., and Anna R. Sibireva. "NONLINEAR MATHEMATICAL MODEL OF PEDAGOGICAL SYSTEM FUNCTIONING." Volga Region Pedagogical Search 34, no. 4 (2020): 93–98. http://dx.doi.org/10.33065/2307-1052-2020-4-34-93-98.

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The purpose of this article is to study the crisis in pedagogical systems from the point of view of an internal observer. The aim of the work is to build and investigate a mathematical model describing the course of crises in pedagogical systems. When building the model, a synergetic methodology, system and process approaches are used. For the mathematical analysis of various social phenomena, systems of differential equations are used to investigate the dynamics of the process. The paper considers a system of nonlinear differential equations in three-dimensional space that describes the functioning of the pedagogical system during the crisis. Numerical and topological methods of nonlinear dynamics, the method of Lyapunov characteristic exponents and the theory of strange attractors by Lorentz were used to study it. Numerical modeling of system solutions for various sets of control parameters (system coefficients) makes it possible to determine the region of stability (asymptotic stability), limit cycles, bifurcation points, and describe possible trajectories of development of the pedagogical system. Mathematical modeling deepens the knowledge about the essence of crises, the peculiarities of their course, makes it possible to study qualitative and numerical modeling, and also allows predicting possible effective measures to combat crisis phenomena and develop new approaches in the management of pedagogical systems.
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3

Hruška, Vlastimil, Martina Riesová, and Bohuslav Gaš. "A nonlinear electrophoretic model for PeakMaster: I. Mathematical model." ELECTROPHORESIS 33, no. 6 (March 2012): 923–30. http://dx.doi.org/10.1002/elps.201100554.

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4

Carmen, Berevoescu Ileana. "Mathematical Models for Nonlinear Soil Behavior." Romanian Journal of Transport Infrastructure 6, no. 2 (December 1, 2017): 45–52. http://dx.doi.org/10.1515/rjti-2017-0059.

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Abstract Actually, the seismic movement has an irregular cyclic character.This can be equivalent to a determined number of uniform cyclical stresses equivalent in terms of effect. Modeling the behavior of the soil to cyclical stress, is usually done, by establishing a relationship for primary loading like τ = f (γ) and after drawing the diagram “effortless strain curve”, in which τ is the stress, and γ is shear deformation. For modeling nonlinear behavior of the soil, we used like nonlinear models. The best known are the hyperbolic model and the Ramberg-Osgood model.
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5

Yavuz, Akif, and Osman Taha Sen. "DISC BRAKE SQUEAL ANALYSIS USING NONLINEAR MATHEMATICAL MODEL." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 2 (August 1, 2021): 4773–78. http://dx.doi.org/10.3397/in-2021-2834.

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Many academics have examined the disc brake squeal problem with experimental, analytical, and computational techniques, but there is as yet no method to completely understand disc brake squeal. This problem is not fully understood because a nonlinear problem. A mathematical model was created to understand the relationship between brake disc and pad thought to cause the squeal phenomenon. For this study, two degree of freedom model is adopted where the disc and the pad are modeled. The model represents pad and disc as single degree of freedom systems that are connected together through a sliding friction interface. This friction interface is defined by the dynamic friction model. Using this model, linear and nonlinear analyzes were performed. The stability of the system under varying parameters was examined with the linear analysis. Nonlinear analysis was performed to provide more detailed information about the nonlinear behavior of the system. This analysis can provide information on the size of a limit cycle in phase space and hence whether a particular instability is a problem. The results indicate that with the decrease in the ratio of disc to pad stiffness and disc to pad mass, the system is more unstable and squeal noise may occur.
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6

Sousa, Marcelo Santiago, Pedro Paglione, Roberto Gil Annes Silva, Flavio Luiz Cardoso-Ribeiro, and Sebastião Simões Cunha. "Mathematical model of one flexible transport category aircraft." Aircraft Engineering and Aerospace Technology 89, no. 3 (May 2, 2017): 384–96. http://dx.doi.org/10.1108/aeat-12-2013-0230.

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Purpose The purpose of this paper is to present a mathematical model of one very flexible transport category airplane whose structural dynamics was modeled with the strain-based formulation. This model can be used for the analysis of couplings between the flight dynamics and structural dynamics. Design/methodology/approach The model was developed with the use of Hamiltonian mechanics and strain-based formulation. Nonlinear flight dynamics, nonlinear structural dynamics and inertial couplings are considered. Findings The mathematical model allows the analysis of effects of high structural deformations on airplane flight dynamics. Research limitations/implications The mathematical model has more than 60 degrees of freedom. The computational burden is too high, if compared to the traditional rigid body flight dynamics simulations. Practical implications The mathematical model presented in this work allows a detailed analysis of the couplings between flight dynamics and structural dynamics in very flexible airplanes. The better comprehension of these couplings will contribute to the development of flexible airplanes. Originality/value This work presents the application of nonlinear flight dynamics-nonlinear structural dynamics-strain-based formulation (NFNS_s) methodology to model the flight dynamics of one very flexible transport category airplane. This paper addresses also the way as the analysis of results obtained in nonlinear simulations can be made. Comparisons of the NFNS_s and nonlinear flight dynamics-linear structural dynamics methodologies are presented in this work.
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7

Leonavičiene, T., and K. Pileckas. "THE MATHEMATICAL MODEL OF COMPRESSIBLE FLUID FLOW." Mathematical Modelling and Analysis 7, no. 1 (June 30, 2002): 117–26. http://dx.doi.org/10.3846/13926292.2002.9637184.

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In this note we consider the mathematical model of the isothermal compressible fluid flow in an exterior domain O ⊂ R3. In order to solve this problem we apply a decomposition scheme and reduce the nonlinear problem to an operator equation with a contraction operator. After the decomposition the nonlinear problem splits into three linear problems: Neumann‐like problem, modified Stokes problem and transport equation. These linear problems are solved in weighted function spaces with detached asymptotics.
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8

Miková, Lubica. "LINEARIZATION OF A NONLINEAR VEHICLE MODEL." TECHNICAL SCIENCES AND TECHNOLOGIES, no. 2(24) (2021): 33–37. http://dx.doi.org/10.25140/2411-5363-2021-2(24)-33-37.

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The purpose of this article is to create a mathematical model of a vehicle using dynamic equations of motion and simulation of perturbations acting on a vehicle. It is assumed that the tire in the car model behaves linearly. Because the vehicle model is nonlinear, the model will need to be linearized in order to find the transfer function between the angle of rotation of the front wheel and the lateral position of the vehicle. For this purpose, simple dynamic models of the car were created, which reflect its lateral and longitudinal dynamics. These types of models are usually used with a linearized form of mechanical and mathematical equations that are required when designing controllers, active suspension and other driver assistance systems.
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9

Luchaninov, A. I., and Ya S. Shifrin. "Mathematical Model of Antenna with Lumped Nonlinear Elements." Telecommunications and Radio Engineering 66, no. 9 (2007): 763–803. http://dx.doi.org/10.1615/telecomradeng.v66.i9.10.

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Okrasiński, Wojciech, and Łukasz Płociniczak. "A nonlinear mathematical model of the corneal shape." Nonlinear Analysis: Real World Applications 13, no. 3 (June 2012): 1498–505. http://dx.doi.org/10.1016/j.nonrwa.2011.11.014.

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Дисертації з теми "Model mathematical nonlinear"

1

Tumanova, Natalija. "The Numerical Analysis of Nonlinear Mathematical Models on Graphs." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2012. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120720_121648-24321.

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The numerical algorithms for non-stationary mathematical models in non-standard domains are investigated in the dissertation. The problem definition domain is represented by branching structures with conjugation equations considered at the branching points. The numerical analysis of the conjugation equations and non-classical boundary conditions distinguish considered problems among the classical problems of mathematical physics presented in the literature. The scope of the dissertation covers the investigation of stability and convergence of the numerical algorithms on branching structures with different conjugation equations, the construction and implementation of parallel algorithms, the investigation of the numerical schemes for the problems with nonlocal integral conditions. The modeling of the excitation of neuron and photoexcited carrier decay in a semiconductor, also the problem of the identification of nonlinear model are considered in the dissertation.
Disertacijoje nagrinėjami nestacionarių matematinių modelių nestandartinėse srityse skaitiniai sprendimo algoritmai. Uždavinio formulavimo sritis yra šakotosios strukturos (ang. branching structures), kurių išsišakojimo taškuose apibrežiami tvermės dėsniai. Tvermės dėsnių skaitinė analizė ir nestandartinių kraštinių sąlygų analizė skiria nagrinėjamus uždavinius nuo klasikinių aprašytų literatūroje matematinės fizikos uždaviniu. Disertacijoje suformuluoti uždaviniai apima skaitinių algoritmų šakotose struktūrose su skirtingais srautų tvermės dėsniais stabilumo ir konvergavimo tyrimą, lygiagrečiųjų algoritmų sudarymą ir taikymą, skaitinių schemų uždaviniams su nelokaliomis integralinėmis sąlygomis tyrimą. Disertacijoje sprendžiami taikomieji neurono sužadinimo ir impulso relaksacijos lazerio apšviestame puslaidininkyje uždaviniai, netiesinio modelio identifikavimo uždavinys.
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2

Ferrara, Joseph. "A Study of Nonlinear Dynamics in Mathematical Biology." UNF Digital Commons, 2013. http://digitalcommons.unf.edu/etd/448.

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We first discuss some fundamental results such as equilibria, linearization, and stability of nonlinear dynamical systems arising in mathematical modeling. Next we study the dynamics in planar systems such as limit cycles, the Poincaré-Bendixson theorem, and some of its useful consequences. We then study the interaction between two and three different cell populations, and perform stability and bifurcation analysis on the systems. We also analyze the impact of immunotherapy on the tumor cell population numerically.
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3

Zhang, Xizheng. "Mathematical modelling of nonlinear ring waves in a stratified fluid." Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/18587.

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Oceanic waves registered by satellite observations often have curvilinear fronts and propagate over various currents. In this thesis, we study long linear and weakly-nonlinear ring waves in a stratified fluid in the presence of a depth-dependent horizontal shear flow. It is shown that despite the clashing geometries of the waves and the shear flow, there exists a linear modal decomposition, which can be used to describe distortion of the wavefronts of surface and internal waves, and systematically derive a 2+1-dimensional cylindrical Korteweg-de Vries (cKdV)-type equation for the amplitudes of the waves. The general theory is applied to the case of the waves in a two-layer fluid with a piecewise-constant shear flow, with an emphasis on the effect of the shear flow on the geometry of the wavefronts. The distortion of the wavefronts is described by the singular solution (envelope of the general solution) of the nonlinear first order differential equation, constituting generalisation of the dispersion relation in this curvilinear geometry. There exists a striking difference in the shape of the wavefronts: the wavefront of the surface wave is elongated in the shear flow direction while the wavefront of the interfacial wave is squeezed in this direction. We solve the derived 2+1-dimensional cKdV-type equation numerically using a finite-difference scheme. The effects of nonlinearity and dispersion are studied by considering numerical results for surface and interfacial ring waves generated from a localised source with and without shear flow and the 2D dam break problem. In these examples, the linear and nonlinear surface waves are faster than interfacial waves, the wave height decreases faster at the surface, the shear flow leads to the wave height decreasing slower downstream and faster upstream, and the effect becomes more prominent as the shear flow strengthens.
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4

Lega, Joceline, and Heidi E. Brown. "Data-driven outbreak forecasting with a simple nonlinear growth model." ELSEVIER SCIENCE BV, 2016. http://hdl.handle.net/10150/622814.

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Recent events have thrown the spotlight on infectious disease outbreak response. We developed a data-driven method, EpiGro, which can be applied to cumulative case reports to estimate the order of magnitude of the duration, peak and ultimate size of an ongoing outbreak. It is based on a surprisingly simple mathematical property of many epidemiological data sets, does not require knowledge or estimation of disease transmission parameters, is robust to noise and to small data sets, and runs quickly due to its mathematical simplicity. Using data from historic and ongoing epidemics, we present the model. We also provide modeling considerations that justify this approach and discuss its limitations. In the absence of other information or in conjunction with other models, EpiGro may be useful to public health responders. (C) 2016 The Authors. Published by Elsevier B.V.
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5

Hashad, Atalla I. "Analysis of non-Gaussian processes using the Wiener model of discrete nonlinear systems." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA297343.

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Dissertation (Ph. D. in Electrical Engineering) Naval Postgraduate School, December 1994.
"December 1994." Dissertation supervisor(s): Charles W. Therrien. Includes bibliographical references. Also available online.
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6

Averill, Ronald C. "Nonlinear analysis of laminated composite shells using a micromechanics-based progressive damage model." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-07282008-134259/.

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7

Larson, Bradley Jared. "Mathematical Framework for Early System Design Validation Using Multidisciplinary System Models." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3000.

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A significant challenge in the design of multidisciplinary systems (e.g., airplanes, robots, cell phones) is to predict the effects of design decisions at the time these decisions are being made early in the design process. These predictions are used to choose among design options and to validate design decisions. System behavioral models, which predict a system's response to stimulus, provide an analytical method for evaluating a system's behavior. Because multidisciplinary systems contain many different types of components that have diverse interactions, system behavioral models are difficult to develop early in system design and are challenging to maintain as designs are refined. This research develops methods to create, verify, and maintain multidisciplinary system models developed from models that are already part of system design. First, this research introduces a system model formulation that enables virtually any existing engineering model to become part of a large, trusted population of component models from which system behavioral models can be developed. Second, it creates a new algorithm to efficiently quantify the feasible domain over which the system model can be used. Finally, it quantifies system model accuracy early in system design before system measurements are available so that system models can be used to validate system design decisions. The results of this research are enabling system designers to evaluate the effects of design decisions early in system design, improving the predictability of the system design process, and enabling exploration of system designs that differ greatly from existing solutions.
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8

PRUETT, CHARLES DAVID. "NUMERICAL SIMULATION OF NONLINEAR WAVES IN FREE SHEAR LAYERS (MIXING, COMPUTATIONAL, FLUID DYNAMICS, HYDRODYNAMIC STABILITY, SPATIAL, FLUID FLOW MODEL)." Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/183869.

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A numerical model has been developed which simulates the three-dimensional stability and transition of a periodically forced free shear layer in an incompressible fluid. Unlike previous simulations of temporally evolving shear layers, the current simulations examine spatial stability. The spatial model accommodates features of free shear flow, observed in experiments, which in the temporal model are precluded by the assumption of streamwise periodicity; e.g., divergence of the mean flow and wave dispersion. The Navier-Stokes equations in vorticity-velocity form are integrated using a combination of numerical methods tailored to the physical problem. A spectral method is adopted in the spanwise dimension in which the flow variables, assumed to be periodic, are approximated by finite Fourier series. In complex Fourier space, the governing equations are spatially two-dimensional. Standard central finite differences are exploited in the remaining two spatial dimensions. For computational efficiency, time evolution is accomplished by a combination of implicit and explicit methods. Linear diffusion terms are advanced by an Alternating Direction Implicit/Crank-Nicolson scheme whereas the Adams-Bashforth method is applied to convection terms. Nonlinear terms are evaluated at each new time level by the pseudospectral (collocation) method. Solutions to the velocity equations, which are elliptic, are obtained iteratively by approximate factorization. The spatial model requires that inflow-outflow boundary conditions be prescribed. Inflow conditions are derived from a similarity solution for the mean inflow profile onto which periodic forcing is superimposed. Forcing functions are derived from inviscid linear stability theory. A numerical test case is selected which closely parallels a well-known physical experiment. Many of the aspects of forced shear layer behavior observed in the physical experiment are captured by the spatial simulation. These include initial linear growth of the fundamental, vorticity roll-up, fundamental saturation, eventual domination of the subharmonic, vortex pairing, emergence of streamwise vorticity, and temporary stabilization of the secondary instability. Moreover, the spatial simulation predicts the experimentally observed superlinear growth of harmonics at rates 1.5 times that of the fundamental. Superlinear growth rates suggest nonlinear resonances between fundamental and harmonic modes which are not captured by temporal simulations.
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9

Breen, Barbara J. "Computational nonlinear dynamics monostable stochastic resonance and a bursting neuron model /." Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04082004-180036/unrestricted/breen%5Fbarbara%5Fj%5F200312%5Fphd.pdf.

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Branco, Dorothy M. "Nonlinear optimization of a stochastic function in a cell migration model." Link to electronic thesis, 2006. http://www.wpi.edu/Pubs/ETD/Available/etd-050506-164020/.

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Книги з теми "Model mathematical nonlinear"

1

Williams, H. P. Model building in mathematical programming. 5th ed. Chichester, West Sussex: Wiley, 2013.

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2

Berber, Ridvan. Nonlinear Model Based Process Control. Dordrecht: Springer Netherlands, 1998.

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3

Nonlinear transistor model parameter extraction techniques. Cambridge: Cambridge University Press, 2011.

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4

Model-based tracking control of nonlinear systems. Boca Raton: Chapman and Hall/CRC, 2012.

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5

Sarkar, S. A simple nonlinear model for the return to isotropy in turbulence. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.

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6

Sarkar, S. A simple nonlinear model for the return to isotropy in turbulence. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.

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7

Papageorgiou, Evangelos C. Development of a dynamic model for a UAV. Monterey, Calif: Naval Postgraduate School, 1997.

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8

Sempf, Mario. Nichtlineare Dynamik atmosphärischer Zirkulationsregime in einem idealisierten Modell: Nonlinear dynamics of atmospheric circulation regimes in an idealized model. Bremerhaven: Alfred-Wegener-Institut für Polar- und Meeresforschung, 2006.

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9

Kuiper, Logan K. Nonlinear-regression flow model of the Gulf Coast aquifer systems in the south-central United States. Austin, Texas: U.S. Geological Survey, 1994.

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10

Berner, Judith. Detection and stochastic modeling of nonlinear signatures in the geopotential height field of an atmospheric general circulation model. St. Augustin [Germany]: Asgard Verlag, 2003.

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Частини книг з теми "Model mathematical nonlinear"

1

Paczynski, Jerzy, and Tomasz Kreglewski. "Nonlinear Model Generator." In Lecture Notes in Economics and Mathematical Systems, 296–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-22160-0_42.

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2

Caldwell, J., and Y. M. Ram. "Numerical Techniques for Model Nonlinear PDE’s." In Mathematical Modelling, 175–99. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-017-2201-8_5.

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Finkenstädt, Bärbel. "A Nonlinear Cobweb Model." In Lecture Notes in Economics and Mathematical Systems, 33–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-46821-6_2.

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4

Ho, Yvonne. "Parameter Estimation for Nonlinear Mathematical Model." In Patient-Specific Controller for an Implantable Artificial Pancreas, 69–80. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2402-4_7.

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5

Albin Rajasingham, Thivaharan. "Mathematical Fundamentals of Optimization." In Nonlinear Model Predictive Control of Combustion Engines, 37–59. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68010-7_3.

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6

Mantere, Kari, Jussi Parkkinen, Timo Jaaskelainen, and Madan M. Gupta. "Wilson—Cowan Neural-Network Model in Image Processing." In Mathematical Nonlinear Image Processing, 155–63. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3148-7_11.

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7

Gill, Philip E., Walter Murray, Michael A. Saunders, and Margaret H. Wright. "Model Building and Practical Aspects of Nonlinear Programming." In Computational Mathematical Programming, 209–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-82450-0_7.

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Amadori, Debora, and Wen Shen. "Mathematical Aspects of A Model for Granular Flow." In Nonlinear Conservation Laws and Applications, 169–79. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-9554-4_6.

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Belyaev, Ivan, and Igor Bykadorov. "Dixit-Stiglitz-Krugman Model with Nonlinear Costs." In Mathematical Optimization Theory and Operations Research, 157–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49988-4_11.

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Mulvey, John M. "Advances in Nonlinear Network Models and Algorithms." In Algorithms and Model Formulations in Mathematical Programming, 45–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83724-1_2.

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Тези доповідей конференцій з теми "Model mathematical nonlinear"

1

Zhiheng, Zhang, Zhang Xianku, and Zhang Guoqing. "Nonlinear response mathematical model of YUPENG ship." In 2017 36th Chinese Control Conference (CCC). IEEE, 2017. http://dx.doi.org/10.23919/chicc.2017.8028093.

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e Coura, Carla Patrícia de Morais, Ayda Henriques Schneider, Celia Martins Cortez, and Frederico Alan de Oliveira Cruz. "A mathematical model for nonlinear fluorescence quenching." In INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2015 (ICCMSE 2015). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4938907.

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3

Lerch, Christopher, and Christian Helmut Meyer. "Parametric Nonlinear Model Reduction for Structural Dynamics." In 9th Vienna Conference on Mathematical Modelling. ARGESIM Publisher Vienna, 2018. http://dx.doi.org/10.11128/arep.55.a55265.

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4

Arriola, Leon. "A Mathematical Model of a Discrete Nonlinear Oscillator." In Proceedings of the Third International Conference on Difference Equations. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2017. http://dx.doi.org/10.4324/9780203745854-4.

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5

Cui, Hua. "Mathematical model for amplitude distortion in nonlinear HPA." In Instruments (ICEMI). IEEE, 2009. http://dx.doi.org/10.1109/icemi.2009.5274807.

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AIKI, TOYOHIKO, and JANA KOPFOVÁ. "A MATHEMATICAL MODEL FOR BACTERIAL GROWTH DESCRIBED BY A HYSTERESIS OPERATOR." In Proceedings of the International Conference on Nonlinear Analysis. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812709257_0001.

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Kastrevc, Mitja, and Edvart Detiček. "The nonlinear mathematical model of electrohydraulic position servo system." In International conference Fluid Power 2017. University of Maribor Press, 2017. http://dx.doi.org/10.18690/978-961-286-086-8.17.

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Nagovitsyn, Yu A., and A. A. Pevtsov. "NONLINEAR MATHEMATICAL MODEL OF SUNSPOT CYCLICITY OF THE SUN." In All-Russia Conference on Solar and Solar-Terrestrial Physics. The Central Astronomical Observatory of the Russian Academy of Sciences at Pulkovo, 2018. http://dx.doi.org/10.31725/0552-5829-2018-307-310.

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Ma, Yunfei, Wyatt O. Davis, Matt Ellis, and Dean Brown. "Nonlinear mathematical model for a biaxial MOEMS scanning mirror." In MOEMS-MEMS, edited by Harald Schenk and Wibool Piyawattanametha. SPIE, 2010. http://dx.doi.org/10.1117/12.843084.

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Pinto, Carla, and Diana Rocha. "A modified mathematical model for malaria transmission under control strategies." In 2012 IEEE 4th International Conference on Nonlinear Science and Complexity (NSC). IEEE, 2012. http://dx.doi.org/10.1109/nsc.2012.6304759.

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Звіти організацій з теми "Model mathematical nonlinear"

1

Ganser, G., I. Christie, and J. Lightbourne. A mathematical and numerical study of nonlinear waves arising in a one-dimensional model of a fluidized bed. Office of Scientific and Technical Information (OSTI), April 1990. http://dx.doi.org/10.2172/6750883.

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2

Ganser, G., and I. Christie. A mathematical and numerical study of nonlinear waves arising in a one-dimensional model of a fluidized bed. Final report. Office of Scientific and Technical Information (OSTI), February 1995. http://dx.doi.org/10.2172/527879.

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3

Ganser, G., I. Christie, and J. Lightbourne. A mathematical and numerical study of nonlinear waves arising in a one-dimensional model of a fluidized bed: Progress report, August 16, 1988--August 14, 1989. Office of Scientific and Technical Information (OSTI), April 1989. http://dx.doi.org/10.2172/6362017.

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