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008 140917s2014 gw |||| o |||| 0|eng
010 _a 2019752242
020 _a9783319076591
024 7 _a10.1007/978-3-319-07659-1
_2doi
035 _a(DE-He213)978-3-319-07659-1
040 _aDLC
_beng
_epn
_erda
_cDLC
072 7 _aMAT007000
_2bisacsh
072 7 _aPBKJ
_2bicssc
072 7 _aPBKJ
_2thema
082 0 4 _a515.352
_223
100 1 _aAwrejcewicz, Jan,
_eauthor.
245 1 0 _aOrdinary Differential Equations and Mechanical Systems /
_cby Jan Awrejcewicz.
250 _a1st ed. 2014.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _a1 online resource (XV, 614 pages 213 illustrations, 52 illustrations in color.)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _a1. Introduction -- 2. First order ODEs -- 3. Second order ODEs -- 4. Linear ODEs -- 5. Higher-order ODEs polynomial form -- 6. Systems -- 7. Theory and criteria of similarity -- 8. Model and modeling -- 9. Phase plane and phase space -- 10. Stability -- 11. Modeling via perturbation methods -- 12. Continualization and discretization -- 13. Bifurcations -- 14. Optimization of systems -- 15. Chaos and synchronization.
520 _aThis book applies a step-by-step treatment of the current state-of-the-art of ordinary differential equations used in modeling of engineering systems/processes and beyond. It covers systematically ordered problems, beginning with first and second order ODEs, linear and higher-order ODEs of polynomial form, theory and criteria of similarity, modeling approaches, phase plane and phase space concepts, stability optimization, and ending on chaos and synchronization. Presenting both an overview of the theory of the introductory differential equations in the context of applicability and a systematic treatment of modeling of numerous engineering and physical problems through linear and non-linear ODEs, the volume is self-contained, yet serves both scientific and engineering interests. The presentation relies on a general treatment, analytical and numerical methods, concrete examples, and engineering intuition. The scientific background used is well balanced between elementary and advanced level, making it as a unique self-contained source for both theoretically and application oriented graduate and doctoral students, university teachers, researchers and engineers of mechanical, civil and mechatronic engineering.
588 _aDescription based on publisher-supplied MARC data.
650 0 _aDifferential equations.
650 0 _aDynamics.
650 0 _aErgodic theory.
650 0 _aMathematical models.
650 0 _aMechanics.
650 1 4 _aOrdinary Differential Equations.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M12147
650 2 4 _aClassical Mechanics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/P21018
650 2 4 _aDynamical Systems and Ergodic Theory.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M1204X
650 2 4 _aMathematical Modeling and Industrial Mathematics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M14068
776 0 8 _iPrint version:
_tOrdinary differential equations and mechanical systems.
_z9783319076584
_w(DLC) 2014947361
776 0 8 _iPrinted edition:
_z9783319076584
776 0 8 _iPrinted edition:
_z9783319076607
776 0 8 _iPrinted edition:
_z9783319352893
906 _a0
_bibc
_corigres
_du
_encip
_f20
_gy-gencatlg
942 _2ddc
_cBK
999 _c448934
_d448934