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020 _a9783319266305
_9978-3-319-26630-5
024 7 _a10.1007/978-3-319-26630-5
_2doi
050 4 _aTA352-356
050 4 _aQC20.7.N6
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072 7 _aGPFC
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082 0 4 _a515.39
_223
245 1 0 _aMathematical Modeling and Applications in Nonlinear Dynamics
_h[electronic resource] /
_cedited by Albert C.J. Luo, Hüseyin Merdan.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aVII, 205 p. 31 illus., 30 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aNonlinear Systems and Complexity,
_x2196-0003 ;
_v14
505 0 _aFrom the Contents: Introduction -- Mathematical Neuroscience: from neurons to networks -- Jupiters belts, our Ozone holes, and Degenerate tori -- Analytical solutions of periodic motions in time-delay systems -- DNA elasticity and its biological implications -- Epidemiology, dynamics, control and multi-patch mobility.
520 _aThe book covers nonlinear physical problems and mathematical modeling, including molecular biology, genetics, neurosciences, artificial intelligence with classical problems in mechanics and astronomy and physics. The chapters present nonlinear mathematical modeling in life science and physics through nonlinear differential equations, nonlinear discrete equations and hybrid equations. Such modeling can be effectively applied to the wide spectrum of nonlinear physical problems, including the KAM (Kolmogorov-Arnold-Moser (KAM)) theory, singular differential equations, impulsive dichotomous linear systems, analytical bifurcation trees of periodic motions, and almost or pseudo- almost periodic solutions in nonlinear dynamical systems. Provides methods for mathematical models with switching, thresholds, and impulses, each of particular importance for discontinuous processes Includes qualitative analysis of behaviors on Tumor-Immune Systems and methods of analysis for DNA, neural networks and epidemiology Introduces new concepts, methods, and applications in nonlinear dynamical systems covering physical problems and mathematical modeling relevant to molecular biology, genetics, neurosciences, artificial intelligence as well as classic problems in mechanics, astronomy, and physics Demonstrates mathematic modeling relevant to molecular biology, genetics, neurosciences, artificial intelligence as well as classic problems in mechanics, astronomy, and physics.
650 0 _aDynamics.
_962316
650 0 _aNonlinear theories.
_93339
650 0 _aNeural networks (Computer science) .
_962317
650 0 _aNonlinear Optics.
_911414
650 0 _aBioinformatics.
_99561
650 0 _aGraph theory.
_93662
650 1 4 _aApplied Dynamical Systems.
_932005
650 2 4 _aMathematical Models of Cognitive Processes and Neural Networks.
_932913
650 2 4 _aNonlinear Optics.
_911414
650 2 4 _aComputational and Systems Biology.
_931619
650 2 4 _aGraph Theory.
_93662
700 1 _aLuo, Albert C.J.
_eeditor.
_0(orcid)0000-0001-8208-6108
_1https://orcid.org/0000-0001-8208-6108
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_962318
700 1 _aMerdan, Hüseyin.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_962319
710 2 _aSpringerLink (Online service)
_962320
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319266282
776 0 8 _iPrinted edition:
_z9783319266299
776 0 8 _iPrinted edition:
_z9783319799834
830 0 _aNonlinear Systems and Complexity,
_x2196-0003 ;
_v14
_962321
856 4 0 _uhttps://doi.org/10.1007/978-3-319-26630-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80947
_d80947