LEADER 02450nam 22004453 450 001 9911035167703321 005 20250817090354.0 010 $a1-955578-27-3 035 $a(MiAaPQ)EBC32251115 035 $a(Au-PeEL)EBL32251115 035 $a(CKB)40332923800041 035 $a(OCoLC)1534191771 035 $a(Exl-AI)32251115 035 $a(EXLCZ)9940332923800041 100 $a20250817d2025 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProject Economics and Decision Analysis $eDeterministic and Probabilistic Models 205 $a3rd ed. 210 1$aTulsa, OK :$cPennWell Books, LLC,$d2025. 210 4$d©2025. 215 $a1 online resource (554 pages) 311 08$a1-955578-26-5 327 $aCover Page -- Title Page -- Copyright Page -- Contents -- Preface -- Objective -- Changes in the Third Addition -- Emphasis and Style -- Examples and Assignment Problems -- Spreadsheet Applications -- Nomenclature -- Reviewers' Comments -- Request for Suggestions -- Acknowledgements -- Section I - Deterministic Models -- 1 - Introduction -- Profit Planning -- Some Basic Principles of Economics -- Uncertainty and Risk -- Problems -- References -- 2 - The time value of money -- The Concept of Interest -- Cash Flow Diagram -- The Time Value of Money -- Loan Amortization Schedule -- Funds Flow and Compounding/Discounting -- Spreadsheet Applications -- The Time Zero Dilemma -- Problems$7Generated by AI. 330 $aA clear, practical, and comprehensive guide to capital investment evaluation, capital budgeting, and decision analysis.Designed for students and professionals alike, the book walks readers step-by-step through decision-making under uncertainty, emphasizing real-world application with numerous solved examples, illustrations, and end-of-chapter. 606 $aCapital investments$xDecision making$7Generated by AI 606 $aPetroleum industry and trade$7Generated by AI 615 0$aCapital investments$xDecision making 615 0$aPetroleum industry and trade 700 $aMian$b M. A$01622883 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911035167703321 996 $aProject Economics and Decision Analysis$94450210 997 $aUNINA LEADER 04213nam 22007215 450 001 9910558491103321 005 20251113201356.0 010 $a9783030971786$b(electronic bk.) 010 $z9783030971779 024 7 $a10.1007/978-3-030-97178-6 035 $a(MiAaPQ)EBC6943652 035 $a(Au-PeEL)EBL6943652 035 $a(CKB)21448750900041 035 $a(PPN)261518992 035 $a(DE-He213)978-3-030-97178-6 035 $a(EXLCZ)9921448750900041 100 $a20220330d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCOVID-19 Epidemiology and Virus Dynamics $eNonlinear Physics and Mathematical Modeling /$fby Till D. Frank 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (367 pages) 225 1 $aUnderstanding Complex Systems,$x1860-0840 311 08$aPrint version: Frank, Till D. COVID-19 Epidemiology and Virus Dynamics Cham : Springer International Publishing AG,c2022 97830309717799 320 $aIncludes bibliographical references and index. 327 $aChapter 1. Introduction -- Chapter 2. Nonlinear physics and synergetics -- Chapter 3. Epidemiological models and COVID-19 epidemics -- Chapter 4. Nonlinear physics of epidemics: part A -- Chapter 5. Nonlinear physics of epidemics: part B -- Chapter 6. Nonlinear physics of epidemics: part C -- Chapter 7. Model-based reproduction numbers -- Chapter 8. Modeling interventions -- Chapter 9. Models of virus dynamics -- Chapter 10. Virus dynamics in humans: unstable directions and order parameters. 330 $aThis book addresses the COVID-19 pandemic from a quantitative perspective based on mathematical models and methods largely used in nonlinear physics. It aims to study COVID-19 epidemics in countries and SARS-CoV-2 infections in individuals from the nonlinear physics perspective and to model explicitly COVID-19 data observed in countries and virus load data observed in COVID-19 patients. The first part of this book provides a short technical introduction into amplitude spaces given by eigenvalues, eigenvectors, and amplitudes.In the second part of the book, mathematical models of epidemiology are introduced such as the SIR and SEIR models and applied to describe COVID-19 epidemics in various countries around the world. In the third part of the book, virus dynamics models are considered and applied to infections in COVID-19 patients. This book is written for researchers, modellers, and graduate students in physics and medicine, epidemiology and virology, biology, applied mathematics, and computer sciences. This book identifies the relevant mechanisms behind past COVID-19 outbreaks and in doing so can help efforts to stop future COVID-19 outbreaks and other epidemic outbreaks. Likewise, this book points out the physics underlying SARS-CoV-2 infections in patients and in doing so supports a physics perspective to address human immune reactions to SARS-CoV-2 infections and similar virus infections. 410 0$aUnderstanding Complex Systems,$x1860-0840 606 $aSystem theory 606 $aEpidemiology 606 $aMathematical physics 606 $aDynamics 606 $aNonlinear theories 606 $aPublic health 606 $aComplex Systems 606 $aEpidemiology 606 $aMathematical Methods in Physics 606 $aApplied Dynamical Systems 606 $aPublic Health 615 0$aSystem theory. 615 0$aEpidemiology. 615 0$aMathematical physics. 615 0$aDynamics. 615 0$aNonlinear theories. 615 0$aPublic health. 615 14$aComplex Systems. 615 24$aEpidemiology. 615 24$aMathematical Methods in Physics. 615 24$aApplied Dynamical Systems. 615 24$aPublic Health. 676 $a614.592414 676 $a614.4015118 700 $aFrank$b Till Daniel$0750689 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910558491103321 996 $aCOVID-19 epidemiology and virus dynamics$92973137 997 $aUNINA