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1

Vidyasagar, M. Non-linear systems analysis. 2nd ed. Prentice-Hall International (UK), 1993.

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2

Kaikko, Juha. Performance prediction of gas turbines by solving a system of non-linear equations. Lappeenranta University of Technology, 1998.

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3

Burns, John. On non-convergence of adjoint semigroups for control systems with delays. ICASE, 1987.

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4

Burns, John. On non-convergence of adjoint semigroups for control systems with delays. National Aeronautics and Space Administration, Langley Research Center, 1987.

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5

Burns, John. On non-convergence of adjoint semigroups for control systems with delays. National Aeronautics and Space Administration, Langley Research Center, 1987.

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6

Verhulst, Ferdinand. Nonlinear differential equations and dynamical systems. Springer-Verlag, 1990.

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7

Kikuchi, Tetsuya. Studies on commuting difference systems arising from solvable lattice models. Tohoku University, 2000.

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8

Grusa, Karl-Ulrich. Mathematical analysis of nonlinear dynamic processes: An introduction to processes governed by partial differential equations. Longman Scientific & Technical, 1988.

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9

V, Uspenskiĭ S., ed. Partial differential equations and systems not solvable with respect to the highest-order derivative. Marcel Dekker, 2003.

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10

Braga da Costa Campos, Luis Manuel. Non-Linear Differential Equations and Dynamical Systems. Edited by L. M. B. C. Campos. CRC Press, 2019. http://dx.doi.org/10.1201/9780429028991.

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11

Lorenz, Hans-Walter. Nonlinear dynamical economics and chaotic motion. Springer-Verlag, 1989.

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12

Adomian, George. Nonlinear stochastic operator equations. Academic Press, 1986.

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13

Carvalho, Alexandre N. Attractors for infinite-dimensional non-autonomous dynamical systems. Springer New York, 2013.

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14

Fiedler, Bernold. Global bifurcation of periodic solutions with symmetry. Springer-Verlag, 1988.

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15

Capietto, Anna. Stability and Bifurcation Theory for Non-Autonomous Differential Equations: Cetraro, Italy 2011, Editors: Russell Johnson, Maria Patrizia Pera. Springer Berlin Heidelberg, 2013.

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16

Rozovskii, B. L. Stochastic Evolution Systems: Linear Theory and Applications to Non-linear Filtering. Springer Netherlands, 1990.

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17

Pavel, Winternitz, ed. Systèmes dynamiques non linéaires: Intégrabilité et comportement qualitatif. Presses de l'Université de Montréal, 1986.

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18

A, Eden, ed. Exponential attractors for dissipative evolution equations. Wiley, 1994.

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19

V, Pogorelov Nikolai, and Semenov A. Yu 1955-, eds. Mathematical aspects of numerical solution of hyperbolic systems. Chapman & Hall/CRC, 2001.

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20

1939-, Verhulst F., ed. Averaging methods in nonlinear dynamical systems. Springer-Verlag, 1985.

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21

A, Morozov, ed. Introduction to non-linear algebra. World Scientific, 2007.

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22

Jia, Jingfei. Fast Radiative-Transfer-Equation-Based Image Reconstruction Algorithms for Non-Contact Diffuse Optical Tomography Systems. [publisher not identified], 2015.

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23

Dao, Nguyen. IUTAM Symposium on Recent Developments in Non-linear Oscillations of Mechanical Systems: Proceedings of the IUTAM Symposium held in Hanoi, Vietnam, March 2-5, 1999. Springer Netherlands, 2000.

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24

Colombo, Maria. Flows of Non-smooth Vector Fields and Degenerate Elliptic Equations: With Applications to the Vlasov-Poisson and Semigeostrophic Systems. Scuola Normale Superiore, 2017.

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25

Prodromos, Daoutidis, ed. Control of nonlinear differential algebraic equation systems: With applications to chemical processes. Chapman & Hall/CRC, 1999.

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26

Horing, Norman J. Morgenstern. Q. M. Pictures; Heisenberg Equation; Linear Response; Superoperators and Non-Markovian Equations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0003.

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Three fundamental and equivalent mathematical frameworks (“pictures”) in which quantum theory can be lodged are exhibited and their relations and relative advantages/disadvantages are discussed: (1) The Schrödinger picture considers the dynamical development of the overall system state vector as a function of time relative to a fixed complete set of time-independent basis eigenstates; (2) The Heisenberg picture (convenient for the use of Green’s functions) embeds the dynamical development of the system in a time-dependent counter-rotation of the complete set of basis eigenstates relative to th
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27

Perko, Lawrence. Differential Equations and Dynamical Systems. Springer London, Limited, 2012.

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28

Perko, Lawrence. Differential Equations and Dynamical Systems. Springer, 2013.

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29

Perko, Lawrence. Differential Equations and Dynamical Systems. Springer London, Limited, 2013.

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30

Differential Equations and Dynamical Systems. 3rd ed. Springer, 2001.

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31

Differential Equations and Dynamical Systems. Springer, 1996.

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32

Differential equations and dynamical systems. Springer-Verlag, 1991.

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33

Differential equations and dynamical systems. 2nd ed. Springer-Verlag, 1993.

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34

Differential Equations and Dynamical Systems. Springer, 2001.

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35

Differential Equations and Dynamical Systems. Springer, 2012.

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36

Differential equations and dynamical systems. 2nd ed. Springer, 1996.

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37

Differential Equations and Dynamical Systems. Island Press, 1996.

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38

Baulieu, Laurent, John Iliopoulos, and Roland Sénéor. Towards a Relativistic Quantum Mechanics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198788393.003.0007.

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Towards a relativistic quantum mechanics. Klein–Gordon and the problems of the probability current and the negative energy solutions. The Dirac equation and negative energies. P, C, and T symmetries. Positrons. The Schrödinger equation as the non-relativistic limit of relativistic equations. Majorana and Weyl equations. Relativistic corrections in hydrogen-like atoms. The Dirac equation as a quantum system with an infinite number of degrees of freedom.
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39

Horing, Norman J. Morgenstern. Equations of Motion with Particle–Particle Interactions and Approximations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0008.

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Starting with the equation of motion for the field operator ψ(x,t) of an interacting many-particle system, the n-particle Green’s function (Gn) equation of motion is developed, with interparticle interactions generating an infinite chain of equations coupling it to (n+1)- and (n−1)-particle Green’s functions (Gn+1 and Gn−1, respectively). Particularly important are the one-particle Green’s function equation with its coupling to the two-particle Green’s function and the two-particle Green’s function equation with its coupling to the three-particle Green’s function. To develop solutions, it is n
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40

Nozière, Pierre. INRA feeding system for ruminants. Edited by Daniel Sauvant and Luc Delaby. Wageningen Academic Publishers, 2018. http://dx.doi.org/10.3920/978-90-8686-872-8.

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The INRA Feeding System for Ruminants has been renewed to better address emerging challenges for animal nutrition: prevision of productive responses, product quality, animal health and emissions to the environment, in a larger extent of breeding contexts. The new system is mainly built from meta-analyses of large data bases, and modelling. The dietary supply model accounts for digestive interactions and flows of individual nutrients, so that feed values depend on the final ration. Animal requirements account for variability in metabolic efficiency. Various productive and non-productive animal
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41

Weakly Connected Nonlinear Systems Boundedness And Stability Of Motion. CRC Press, 2012.

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42

Grusa, K. U., and Karl-Ulrich Grusa. Mathematical Analysis of Nonlinear Dynamic Processes: An Introduction to Processes Governed by Partial Differential Equations (Pitman Research Notes in Mathematics Series). Longman Scientific and Technical, 1989.

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43

Luis Manuel Braga da Costa Campos. Non-Linear Differential Equations and Dynamical Systems. Taylor & Francis Group, 2019.

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44

Non-Linear Differential Equations and Dynamical Systems. Taylor & Francis Group, 2023.

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45

Luis Manuel Braga da Costa Campos. Non-Linear Differential Equations and Dynamical Systems. Taylor & Francis Group, 2019.

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46

Luis Manuel Braga da Costa Campos. Non-Linear Differential Equations and Dynamical Systems. Taylor & Francis Group, 2019.

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47

Luis Manuel Braga da Costa Campos. Non-Linear Differential Equations and Dynamical Systems. Taylor & Francis Group, 2019.

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48

Non-Linear Differential Equations and Dynamical Systems. Taylor & Francis Group, 2019.

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49

Rajeev, S. G. Fluid Mechanics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805021.001.0001.

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Starting with a review of vector fields and their integral curves, the book presents the basic equations of the subject: Euler and Navier–Stokes. Some solutions are studied next: ideal flows using conformal transformations, viscous flows such as Couette and Stokes flow around a sphere, shocks in the Burgers equation. Prandtl’s boundary layer theory and the Blasius solution are presented. Rayleigh–Taylor instability is studied in analogy with the inverted pendulum, with a digression on Kapitza’s stabilization. The possibility of transients in a linearly stable system with a non-normal operator
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50

Premios de investicación [i.e. investigación] concedidos por la Academia en las secciones de exactas y físicas durante el periodo (1999-2000). Academia de Ciencias Exactas, Físicas, Químicas y Naturales de Zaragoza], 2000.

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