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001449699 001__ 1449699
001449699 003__ OCoLC
001449699 005__ 20230310004414.0
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001449699 019__ $$a1346365871
001449699 020__ $$a9783031047299$$q(electronic bk.)
001449699 020__ $$a303104729X$$q(electronic bk.)
001449699 020__ $$z9783031047282
001449699 020__ $$z3031047281
001449699 0247_ $$a10.1007/978-3-031-04729-9$$2doi
001449699 035__ $$aSP(OCoLC)1345459010
001449699 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dOCLCQ
001449699 049__ $$aISEA
001449699 050_4 $$aTA342
001449699 08204 $$a620.001/5118$$223/eng/20221004
001449699 1001_ $$aPalacios, Antonio,$$eauthor.
001449699 24510 $$aMathematical modeling :$$ba dynamical systems approach to analyze practical problems in STEM disciplines /$$cAntonio Palacios.
001449699 264_1 $$aCham :$$bSpringer,$$c[2022]
001449699 264_4 $$c©2022
001449699 300__ $$a1 online resource (xvii, 564 pages) :$$billustrations (some color).
001449699 336__ $$atext$$btxt$$2rdacontent
001449699 337__ $$acomputer$$bc$$2rdamedia
001449699 338__ $$aonline resource$$bcr$$2rdacarrier
001449699 4901_ $$aMathematical engineering
001449699 504__ $$aIncludes bibliographical references and index.
001449699 5050_ $$aIntroduction- Algebraic Models -- Discrete Models -- Continuous Models -- Bifurcation Theory -- Network-Based Modeling -- Delay Models -- Spatial-Temporal Models -- Stochastic Models -- Model Reduction and Simplification.
001449699 506__ $$aAccess limited to authorized users.
001449699 520__ $$aThis book provides qualitative and quantitative methods to analyze and better understand phenomena that change in space and time. An innovative approach is to incorporate ideas and methods from dynamical systems and equivariant bifurcation theory to model, analyze and predict the behavior of mathematical models. In addition, real-life data is incorporated in the derivation of certain models. For instance, the model for a fluxgate magnetometer includes experiments in support of the model. The book is intended for interdisciplinary scientists in STEM fields, who might be interested in learning the skills to derive a mathematical representation for explaining the evolution of a real system. Overall, the book could be adapted in undergraduate- and postgraduate-level courses, with students from various STEM fields, including: mathematics, physics, engineering and biology.
001449699 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 4, 2022).
001449699 650_0 $$aMathematical models.
001449699 650_0 $$aEngineering$$xMathematical models.
001449699 650_0 $$aEngineering mathematics.
001449699 655_0 $$aElectronic books.
001449699 77608 $$iPrint version: $$z3031047281$$z9783031047282$$w(OCoLC)1305912710
001449699 830_0 $$aMathematical engineering.
001449699 852__ $$bebk
001449699 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-04729-9$$zOnline Access$$91397441.1
001449699 909CO $$ooai:library.usi.edu:1449699$$pGLOBAL_SET
001449699 980__ $$aBIB
001449699 980__ $$aEBOOK
001449699 982__ $$aEbook
001449699 983__ $$aOnline
001449699 994__ $$a92$$bISE