LEADER 02138nam 2200385Ia 450 001 996387727103316 005 20200824132853.0 035 $a(CKB)4940000000087294 035 $a(EEBO)2248531446 035 $a(OCoLC)ocm52614585e 035 $a(OCoLC)52614585 035 $a(EXLCZ)994940000000087294 100 $a20030715d1655 uy 0 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe lawyers looking-glass: or, A cleer discovery of the dangerous snares$b[electronic resource] $ewherewith the practicers of law endeavour to entangle Your Highness, and to make you the patron of their injustice, and oppression, and so to lead you as the blinde ship-money judges led the late blinde king into a ditch; which God forbid. Together with some seasonable preparatives to remedy this great evill: for the glory of God, Your Highnesses honour, and the peace and welfare of these nations: and, all Gods people both ministers of the gospel, and members of the army, and others: specially in and about the cities of London, and Westminster, are earnestly desired (as they will answer it at the great day of account) to speak words in season, and otherwise use their best endeavours to strengthen the hands of Your Highness and councel in carrying on the work of the Lord against the mighty 210 $aLondon, $cPrinted for Jeffery Corbet$dFeb. 20. 1655 215 $a[8] p 300 $aSigned at end: Jeffrey Corbet. Edward Pitt. 1. Jan. 1655. 300 $aReproduction of original in: National Library of Scotland. 330 $aeebo-0097 606 $aLawyers$zGreat Britain$vEarly works to 1800 606 $aLegal ethics$zGreat Britain$vEarly works to 1800 606 $aCourt administration$zGreat Britain$vEarly works to 1800 615 0$aLawyers 615 0$aLegal ethics 615 0$aCourt administration 700 $aCorbet$b Jeffrey$01007597 701 $aPitt$b Edward$ffl. 1655.$01010323 801 0$bEAE 801 1$bEAE 906 $aBOOK 912 $a996387727103316 996 $aThe lawyers looking-glass: or, A cleer discovery of the dangerous snares$92336716 997 $aUNISA LEADER 01070nam 2200301Ia 450 001 996397710503316 005 20210104171851.0 035 $a(CKB)4940000000064161 035 $a(EEBO)2240935673 035 $a(OCoLC)ocn953793123e 035 $a(OCoLC)953793123 035 $a(EXLCZ)994940000000064161 100 $a20160720d1551 uy 0 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe bokes of Salomon$b[electronic resource] $enamely Prouerbia, Ecclesiastes, Cantica canticorum, Sapientia, Ecclesiasticus or Iesus the sonne of Syrach 210 $aImprinted at London $cIn the Fletestrete at the sygne of the Rose Garland, by Wyllyam Copland$danno Do. MDLI mensis Aprill [1551] 215 $a[488] p 300 $aPlace of publication and printer from colophon. 300 $aReproduction of original in: British Library. 330 $aeebo-0018 702 $aCopland$b William$f-1568 or 1569, 801 0$bUMI 801 1$bUMI 906 $aBOOK 912 $a996397710503316 996 $aThe bokes of Salomon$92416231 997 $aUNISA LEADER 07301nam 2200469 450 001 996464438303316 005 20220723133451.0 010 $a3-030-86905-9 035 $a(CKB)5470000001298877 035 $a(MiAaPQ)EBC6796441 035 $a(Au-PeEL)EBL6796441 035 $a(OCoLC)1282008832 035 $a(PPN)258299320 035 $a(EXLCZ)995470000001298877 100 $a20220723d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMean field game and its applications in wireless networks /$fReginald A. Banez [and three others] 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$dİ2021 215 $a1 online resource (184 pages) 225 1 $aWireless networks (Springer Firm) 311 $a3-030-86904-0 327 $aIntro -- Preface -- Contents -- Acronyms -- 1 Overview of Mean Field Games in Wireless Networks -- 1.1 Background and Requirements -- 1.1.1 Technical Requirements -- 1.1.2 Enabling Technologies -- 1.2 5G/6G Wireless Networks -- 1.2.1 Ultra-Dense Networks -- 1.2.2 Device-to-Device Communications -- 1.2.3 Internet-of-Things -- 1.2.4 Unmanned Aerial Vehicle Networks -- 1.2.5 Mobile Edge Networks -- 1.3 Introduction to Mean Field Games -- 1.4 Research Works on Mean Field Games in Wireless Networks -- 1.4.1 Single-Population Mean Field Games for Ultra-Dense Networks -- 1.4.2 Multiple-Population Mean Field Game for Social Networks -- 1.4.3 Mean-Field-Type Game for Multi-Access Edge Computing Networks -- 1.5 Organization and Summary -- References -- 2 Introduction to Mean Field Games and Mean-Field-Type Games -- 2.1 Introduction -- 2.1.1 Basic Concepts of Game Theory -- 2.1.1.1 Extensive-Form and Strategic-Form Games -- 2.1.1.2 Pure Strategies and Mixed Strategies -- 2.1.1.3 Nash Equilibrium -- 2.1.2 Mean Field Games and Related Fields of Study -- 2.2 Optimal Control Theory -- 2.2.1 Deterministic Optimal Control -- 2.2.1.1 Dynamic Programming Principle -- 2.2.1.2 Hamilton-Jacobi-Bellman Equation -- 2.2.2 Stochastic Optimal Control -- 2.2.2.1 Stochastic Process and Stochastic Differential Equations -- 2.2.2.2 Ito Stochastic Differentiation Rule -- 2.2.2.3 Stochastic Optimal Control Problem -- 2.2.2.4 Dynamic Programming Principle -- 2.2.2.5 Hamilton-Jacobi-Bellman Equation -- 2.3 Differential Games -- 2.3.1 Deterministic Differential Games -- 2.3.2 Stochastic Differential Games -- 2.4 Mean Field Games -- 2.4.1 Background and Motivation -- 2.4.2 Analytic Solution -- 2.4.3 Numerical Methods -- 2.4.4 Linear-Quadratic Mean Field Games -- 2.4.5 Multiple-Population Mean Field Games -- 2.5 Mean-Field-Type Games -- 2.5.1 Background. 327 $a2.5.2 Linear-Quadratic Mean-Field-Type Control -- 2.5.3 Linear-Quadratic Mean-Field-Type Games -- References -- 3 A Survey of Mean Field Game Applications in Wireless Networks -- 3.1 Ultra-Dense Networks -- 3.1.1 Overview of Ultra-Dense Networks -- 3.1.2 Research Opportunities and Challenges -- 3.1.3 Proposed Mean Field Game Solutions -- 3.1.3.1 Interference Management -- 3.1.3.2 Propagation Modeling -- 3.1.3.3 Energy Efficiency -- 3.1.3.4 Scheduling -- 3.1.4 Summary -- 3.2 Device-to-Device Communications and Internet-of-Things -- 3.2.1 Overview of Device-to-Device Communications and Internet-of-Things -- 3.2.2 Research Opportunities and Challenges -- 3.2.3 Proposed Mean Field Game Solutions -- 3.2.3.1 Interference Management and Power Control -- 3.2.3.2 Proximity Services -- 3.2.3.3 Network Security -- 3.2.4 Summary -- 3.3 Unmanned Aerial Vehicle Networks -- 3.3.1 Overview of Unmanned Aerial Vehicle Networks -- 3.3.2 Research Opportunities and Challenges -- 3.3.3 Proposed Mean Field Game Solutions -- 3.3.3.1 Channel Modeling -- 3.3.3.2 Energy Efficiency -- 3.3.3.3 Deployment -- 3.3.3.4 Trajectory Optimization -- 3.3.4 Summary -- 3.4 Mobile Edge Networks -- 3.4.1 Overview of Mobile Edge Networks -- 3.4.2 Research Opportunities and Challenges -- 3.4.3 Proposed Mean Field Game Solutions -- 3.4.3.1 Latency and Energy Consumption Optimization -- 3.4.3.2 Resource Management -- 3.4.3.3 Caching -- 3.4.3.4 Computation Offloading -- 3.4.4 Summary -- References -- 4 Mean Field Game Applications in Ultra-Dense 5G, 6G, and Beyond Wireless Networks -- 4.1 Introduction -- 4.2 Ultra-Dense Device-to-Device Networks -- 4.2.1 System Model and Problem Formulation -- 4.2.2 Differential Game Model for Power Control -- 4.2.2.1 State Space -- 4.2.2.2 Cost Function -- 4.2.3 Optimal Control Problem and Mean Field Equilibrium. 327 $a4.3 Ultra-Dense Unmanned Aerial Vehicles Networks -- 4.3.1 System Model -- 4.3.2 Mean Field Game Problem Formulation and Analysis -- 4.4 User-Dense Multi-Access Edge Computing Systems -- 4.4.1 Single-Resource Case -- 4.4.2 Multi-Resource Case -- References -- 5 Multiple-Population Mean Field Game for Social Networks -- 5.1 System Model -- 5.1.1 Opinion Dynamics Equation -- 5.1.2 Cost Function -- 5.2 Mean Field Game with Single Population -- 5.2.1 Background -- 5.2.2 A Mean Field Game Problem for Single-Population Social Networks -- 5.3 Mean Field Game with Several Populations -- 5.3.1 Background and Motivation -- 5.3.2 A Mean Field Game Problem for Multiple-Population Social Networks -- 5.4 Adjoint Method for Mean Field Games with Several Populations -- 5.4.1 Background -- 5.4.2 Adjoint Method for the Social Network Problems -- 5.5 Numerical Method for Mean Field Games with Several Populations -- 5.5.1 Background -- 5.5.2 Numerical Method for the Social Network Problems -- 5.6 Simulation Results and Discussion -- 5.6.1 Theoretical Results -- 5.6.2 Experimental Results with Real Dataset -- 5.6.2.1 Description of the Dataset -- 5.6.2.2 Processing of the Dataset -- 5.6.2.3 Procedure of the Experiment -- 5.6.2.4 Results and Analysis -- 5.6.3 Performance Analysis -- 5.7 Related Works -- 5.8 Conclusion -- References -- 6 Mean-Field-Type Game for Multi-Access Edge Computing Networks -- 6.1 System Model -- 6.1.1 Cost Functions -- 6.1.2 Network State Dynamics Equation -- 6.2 Mean-Field-Type Game Problem Formulation -- 6.2.1 Preliminaries -- 6.2.2 Cost Functions -- 6.2.3 Network State Dynamics Equation -- 6.2.4 Non-cooperative Problem -- 6.2.5 Cooperative Problem -- 6.3 Linear-Quadratic Mean-Field-Type-Game Solution Using a Direct Method -- 6.3.1 Non-cooperative Solution -- 6.3.2 Cooperative Solution. 327 $a6.4 Mean-Field-Type Game Based Computation Offloading Algorithms -- 6.4.1 Non-cooperative Computation Offloading -- 6.4.2 Cooperative Computation Offloading -- 6.5 Performance Evaluation -- 6.5.1 Baseline Approaches -- 6.5.2 Performance Metrics -- 6.6 Simulation Results and Discussion -- 6.6.1 Simulation Setup -- 6.6.2 Optimal Offloading Control -- 6.6.3 Network Efficiency -- 6.6.4 System Cost and Benefit-Cost Ratio -- 6.7 Related Works -- 6.8 Conclusion -- References. 410 0$aWireless networks (Springer (Firm)) 606 $aMean field theory 615 0$aMean field theory. 676 $a530.144 700 $aBanez$b Reginald A.$01072367 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996464438303316 996 $aMean field game and its applications in wireless networks$92900977 997 $aUNISA