LEADER 02095nam 2200361 450 001 9910592291603321 005 20230517044325.0 035 $a(CKB)5840000000091311 035 $a(NjHacI)995840000000091311 035 $a(EXLCZ)995840000000091311 100 $a20230517d2021 uy 0 101 0 $aita 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 13$aUn panno medievale dell'azienda pratese di Francesco Datini $eStudio e ricostruzione sperimentale /$fDaniela Degl'Innocenti, Giampiero Nigro 210 1$aFlorence :$cFirenze University Press,$d2021. 215 $a1 online resource (172 pages) 225 0 $aBiblioteca di storia 311 $a88-5518-585-3 330 $aThe volume concludes a multi-year study conceived and carried out by the Museo del Tessuto of Prato, which involved public bodies and cultural institutions in the city motivated by the desire to see one of the identifying products of the Prato textile district returned to contemporary life: its cloth. The idea to experimentally reconstruct the cloth arose from the study of some documents of the Datini Fund, a unique archival complex in the world for historical and economic studies on the Middle Ages. The collective and interdisciplinary project is documented in a volume created in collaboration with the International Institute of Economic History "F. Datini". The historical contributions on the manufacturing and commercial management of the Datini cloth are followed by a second part that documents the study and experimentation phases of its reconstruction. 517 $aUn panno medievale dell’azienda pratese di Francesco Datini 517 $aUn panno medievale dell?azienda pratese di Francesco Datini 676 $a380.10924 700 $aDegl'Innocenti$b Daniela$01346866 702 $aNigro$b Giampiero 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910592291603321 996 $aUn panno medievale dell'azienda pratese di Francesco Datini$93079901 997 $aUNINA LEADER 03952nam 22006855 450 001 9910300158203321 005 20200703202216.0 010 $a3-319-04367-6 024 7 $a10.1007/978-3-319-04367-8 035 $a(CKB)3710000000088884 035 $a(SSID)ssj0001186990 035 $a(PQKBManifestationID)11675241 035 $a(PQKBTitleCode)TC0001186990 035 $a(PQKBWorkID)11242812 035 $a(PQKB)10362353 035 $a(MiAaPQ)EBC1697914 035 $a(DE-He213)978-3-319-04367-8 035 $a(PPN)176751033 035 $a(EXLCZ)993710000000088884 100 $a20140212d2014 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAntenna Design by Simulation-Driven Optimization /$fby Slawomir Koziel, Stanislav Ogurtsov 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (145 pages) $cillustrations 225 1 $aSpringerBriefs in Optimization,$x2190-8354 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-04366-8 320 $aIncludes bibliographical references and index. 327 $a1. Introduction -- 2. Antenna Design Using Electromagnetic Simulations -- 3. Surrogate-Based Optimization -- 4. Methodologies for Variable-Fidelity Optimization of Antenna Structures -- 5. Low-Fidelity Antenna Models -- 6. Simulation-Based UWB Antenna Design -- 7. Optimization of Dielectric Resonator Antennas -- 8. Surrogate-Based Optimization of Microstrip Broadband Antennas -- 9. Simulation-Driven Antenna Array Optimization -- 10. Antenna Optimization with Surrogates and Adjoint Sensitivities.- 11. Simulation-Based Multi-Objective Antenna Optimization with Surrogate Models -- 12. Practical Aspects of Surrogate-Based Antenna Design: Selecting Model Fidelity -- 13. Discussion and Recommendations. 330 $aThis Brief reviews a number of techniques exploiting the surrogate-based optimization concept and variable-fidelity EM simulations for efficient optimization of antenna structures. The introduction of each method is illustrated with examples of antenna design. The authors demonstrate the ways in which practitioners can obtain an optimized antenna design at the computational cost corresponding to a few high-fidelity EM simulations of the antenna structure. There is also a discussion of the selection of antenna model fidelity and its influence on performance of the surrogate-based design process. This volume is suitable for electrical engineers in academia as well as industry, antenna designers and engineers dealing with computationally-expensive design problems. 410 0$aSpringerBriefs in Optimization,$x2190-8354 606 $aMathematical optimization 606 $aMicrowaves 606 $aOptical engineering 606 $aComputer simulation 606 $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008 606 $aMicrowaves, RF and Optical Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T24019 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 615 0$aMathematical optimization. 615 0$aMicrowaves. 615 0$aOptical engineering. 615 0$aComputer simulation. 615 14$aOptimization. 615 24$aMicrowaves, RF and Optical Engineering. 615 24$aSimulation and Modeling. 676 $a621.3824 700 $aKoziel$b Slawomir$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721636 702 $aOgurtsov$b Stanislav$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300158203321 996 $aAntenna Design by Simulation-Driven Optimization$92522507 997 $aUNINA