LEADER 00881nam0-22003011i-450- 001 990006271460403321 005 19980601 035 $a000627146 035 $aFED01000627146 035 $a(Aleph)000627146FED01 035 $a000627146 100 $a19980601d1967----km-y0itay50------ba 105 $a--------00-yy 200 1 $aEconomia dei servizi di pubblica utilita'$fWinston Clemens ; traduzione a cura di Glauco Della Porta. 210 $aTorino$cUtet$d1967 215 $aXV,, 740 p.$d24 cm 225 1 $a"Sociologia ed economisti$v22 676 $a330 700 1$aClemens,$bWinston$0407030 702 1$aDella Porta,$bGlauco 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006271460403321 952 $aXV C 9 (22)$b52866$fFGBC 959 $aFGBC 996 $aEconomia dei servizi di pubblica utilita$9641123 997 $aUNINA DB $aGIU01 LEADER 03191nam 22006855 450 001 9910842300003321 005 20250808093217.0 010 $a3-031-48766-4 024 7 $a10.1007/978-3-031-48766-8 035 $a(CKB)30597459500041 035 $a(MiAaPQ)EBC31200901 035 $a(Au-PeEL)EBL31200901 035 $a(DE-He213)978-3-031-48766-8 035 $a(EXLCZ)9930597459500041 100 $a20240228d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aClear Thinking $eStructured Analytic Techniques and Strategic Foresight Analysis for Decisionmakers /$fby Randolph H. Pherson, Ole Donner, Oliver Gnad 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (259 pages) 225 1 $aProfessional Practice in Governance and Public Organizations,$x2731-9784 311 08$a3-031-48765-6 327 $aChapter 1. Setting the Stage -- Chapter 2. Understanding How We Think: System I and System 2 -- Chapter 3. Conceptualizing Your Topic -- Chapter 4. Blackout In Berlin! -- Chapter 5. Terror in Stockholm -- Chapter 6. Conflict or Cooperation in the Arctic? -- Chapter 7. Optimizing the Impact of Your Product -- Chapter 8. Outlook. 330 $aThis book enables analysts in government and the private sector as well as policy advisors and decision makers to assess global risks and opportunities systematically, make well-founded and informed decisions, and anticipate the unanticipated. The authors illuminate the basics of intuitive and analytical thinking and how structured techniques can mitigate the impact of cognitive biases, misapplied heuristics, and intuitive traps. Three case studies illustrate how to apply over 30 Structured Analytic Techniques (SATs) with step-by-step instructions. The final chapter focuses on how to optimize the impact of your analytic product, be it a paper, briefing, or digital display. 410 0$aProfessional Practice in Governance and Public Organizations,$x2731-9784 606 $aSecurity, International 606 $aPolitical science 606 $aCognitive psychology 606 $aPolitical leadership 606 $aWorld politics 606 $aInternational Security Studies 606 $aGovernance and Government 606 $aCognitive Psychology 606 $aPolitical Leadership 606 $aPolitical History 615 0$aSecurity, International. 615 0$aPolitical science. 615 0$aCognitive psychology. 615 0$aPolitical leadership. 615 0$aWorld politics. 615 14$aInternational Security Studies. 615 24$aGovernance and Government. 615 24$aCognitive Psychology. 615 24$aPolitical Leadership. 615 24$aPolitical History. 676 $a153.83 700 $aPherson$b Randolph H.$01732020 702 $aDonner$b Ole 702 $aGnad$b Oliver 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910842300003321 996 $aClear Thinking$94145622 997 $aUNINA LEADER 03716nam 22006255 450 001 9911034956403321 005 20251022130431.0 010 $a981-9508-12-6 024 7 $a10.1007/978-981-95-0812-9 035 $a(MiAaPQ)EBC32373397 035 $a(Au-PeEL)EBL32373397 035 $a(CKB)41705292100041 035 $a(DE-He213)978-981-95-0812-9 035 $a(OCoLC)1546815218 035 $a(EXLCZ)9941705292100041 100 $a20251022d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRandom Vibration with Machine Learning Method /$fby Jian-Qiao Sun 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (265 pages) 225 1 $aNonlinear Physical Science,$x1867-8459 311 08$a981-9508-11-8 327 $aIntroduction -- Theoretical Foundation -- Simulation -- Response Process -- Response Moment -- Response Distribution -- Classical Random Vibration -- Random Vibration with Neural Networks -- Method of Feynman-Kac -- Green?s Operator -- Data-Driven Random Vibration -- Data-Driven Generalized Cell Mapping -- New Application of Simulation. 330 $aThe book presents the theoretical foundation of random vibration of dynamic systems and new machine learning methods for the analysis of linear and nonlinear random vibration problems. This is the first book on the market that introduces the tools of artificial intelligence, i.e. neural networks, to engineering problems of random vibration. The first part of the book briefly reviews probability theory, stochastic processes, spectral analysis of stochastic processes, stochastic calculus, and a brief and general discussion of the response process viewed as a mapping of random excitation and uncertainties, equations for response probability distribution and reliability problems. The second part of the book presents studies of linear and nonlinear random vibration problems. In particular, the radial basis neural networks solution is introduced. Extensive examples are presented to demonstrate the neural network solution. Data-driven random vibration problems are also discussed, including density estimation, model identification and model-free generalized cell mapping. Finally, Monte Carlo simulation is discussed from a new perspective. This book can be adopted as an advanced reference book of an undergraduate random vibration class. The entire book is an excellent choice for a graduate random vibration course, and is also a good reference book for practice engineers and researchers. 410 0$aNonlinear Physical Science,$x1867-8459 606 $aMultibody systems 606 $aVibration 606 $aMechanics, Applied 606 $aMachine learning 606 $aNeural networks (Computer science) 606 $aMultibody Systems and Mechanical Vibrations 606 $aMachine Learning 606 $aMathematical Models of Cognitive Processes and Neural Networks 615 0$aMultibody systems. 615 0$aVibration. 615 0$aMechanics, Applied. 615 0$aMachine learning. 615 0$aNeural networks (Computer science) 615 14$aMultibody Systems and Mechanical Vibrations. 615 24$aMachine Learning. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 676 $a620.3 700 $aSun$b Jian-Qiao$0860940 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911034956403321 996 $aRandom Vibration with Machine Learning Method$94448993 997 $aUNINA