04590nam 2200529 450 99654684180331620230429142849.03-031-11085-410.1007/978-3-031-11085-6(MiAaPQ)EBC7187230(Au-PeEL)EBL7187230(CKB)26068922900041(DE-He213)978-3-031-11085-6(PPN)267808607(EXLCZ)992606892290004120230429d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierBody of knowledge for modeling and simulation a handbook by the society for modeling and simulation international /edited by Tuncer Ören, Bernard P. Zeigler, and Andreas Tolk1st ed. 2023.Cham, Switzerland :Springer,[2023]©20231 online resource (549 pages)Simulation Foundations, Methods and Applications,2195-2825Print version: Ören, Tuncer Body of Knowledge for Modeling and Simulation Cham : Springer International Publishing AG,c2023 9783031110849 Includes bibliographical references and index.1. Preliminary -- 2. M&S BOK Core Areas and the Big Picture -- 3. Simulation as Experimentation -- 4. Simulation as Experience to Enhance Three Types of Skills -- 5. Simulation Games (Simulation as Experience for Entertainment) -- 6. Infrastructure -- 7. Reliability and Quality Assurance of M&S -- 8. Ethics -- 9. Enterprise (Economics of M&S) -- 10. Maturity -- 11. Supporting Domains: Computers and Computation -- 12. Supporting Science Areas -- 13. Supporting Engineering Areas.-14. Supporting Social Science and Management Areas -- 15. Philosophy and Modelling and Simulation -- 16. History -- 17. Core Research Areas -- 18. Trends, Desirable Features, and Challenges. .Commissioned by the Society for Modeling and Simulation International (SCS), this needed, useful new ‘Body of Knowledge’ (BoK) collects and organizes the common understanding of a wide collection of professionals and professional associations. Modeling and simulation (M&S) is a ubiquitous discipline that lays the computational foundation for real and virtual experimentation, clearly stating boundaries—and interactions—of systems, data, and representations. The field is well known, too, for its training support via simulations and simulators. Indeed, with computers increasingly influencing the activities of today’s world, M&S is the third pillar of scientific understanding, taking its place along with theory building and empirical observation. This valuable new handbook provides intellectual support for all disciplines in analysis, design and optimization. It contributes increasingly to the growing number of computational disciplines, addressing the broad variety of contributing as well as supported disciplines and application domains. Further, each of its sections provide numerous references for further information. Highly comprehensive, the BoK represents many viewpoints and facets, captured under such topics as: Mathematical and Systems Theory Foundations Simulation Formalisms and Paradigms Synergies with Systems Engineering and Artificial Intelligence Multidisciplinary Challenges Ethics and Philosophy Historical Perspectives Examining theoretical as well as practical challenges, this unique volume addresses the many facets of M&S for scholars, students, and practitioners. As such, it affords readers from all science, engineering, and arts disciplines a comprehensive and concise representation of concepts, terms, and activities needed to explain the M&S discipline. Under the leadership of three SCS Fellows, Dr. Ören, University of Ottawa, Dr. Zeigler, The University of Arizona, and Dr. Tolk, The MITRE Corporation, more than 50 international scholars from 15 countries provided insights and experience to compile this initial M&S Body of Knowledge.Simulation Foundations, Methods and Applications,2195-2825Models and modelmakingSimulation methodsModels and modelmaking.Simulation methods.745.5928Tolk AndreasZeigler Bernard P.Ören Tuncer I.MiAaPQMiAaPQMiAaPQBOOK996546841803316Body of knowledge for modeling and simulation3364024UNISA02486nam0 22004813i 450 VAN024999120230531123608.873N978303043036820220912d2020 |0itac50 baengCH|||| |||||Topological methods in data analysis and visualization Vtheory, algorithms, and applicationsHamish Carr ... [et al.] editorsChamSpringer2020x, 270 p.ill.24 cm001VAN00685522001 Mathematics and visualization210 Berlin [etc.]Springer2001-VAN0249992Topological methods in data analysis and visualization V198254268-XXComputer science [MSC 2020]VANC019670MF55-XXAlgebraic topology [MSC 2020]VANC019672MF68U10Computing methodologies for image processing [MSC 2020]VANC019978MF00B25Proceedings of conferences of miscellaneous specific interest [MSC 2020]VANC020732MF68U05Computer graphics; computational geometry (digital and algorithmic aspects) [MSC 2020]VANC020787MF68T09Computational aspects of data analysis and big data [MSC 2020]VANC035916MF55N31Persistent homology and applications, topological data analysis [MSC 2020]VANC037156MF68U03Computational aspects of digital topology [MSC 2020]VANC037157MFData analysisKW:KGeometryKW:KMathematical techniques in visualizationKW:KScientific ComputingKW:KScientific visualizationKW:KTopological methodsKW:KCHChamVANL001889CarrHamishVANV094951TopoInVis Workshop2017Tokyo, JapanVANV204342Springer <editore>VANV108073650ITSOL20240614RICAhttp://doi.org/10.1007/978-3-030-43036-8E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN0249991BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 4906 08eMF4906 20220912 Topological methods in data analysis and visualization v1982542UNICAMPANIA