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[null,"1.","Record Nr.",null,"UNINA9910778924703321"]
[null,null,"Titolo",null,"New public governance, the third sector and co-production / / edited by Victor Pestoff, Taco Brandsen and Bram Verschuere"]
[null,null,"Pubbl/distr/stampa",null,"New York, N.Y. : , : Routledge, , 2012"]
[null,null,"ISBN",null,"1-136-51884-3"]
[{"$nulls":4},"1-136-51885-1"]
[{"$nulls":4},"0-203-15229-8"]
[null,null,"Descrizione fisica",null,"1 online resource (423 p.)"]
[null,null,"Collana",null,"Routledge critical studies in public management ; ; 7"]
[null,null,"Disciplina",null,"338.6/3"]
[null,null,"Soggetti",null,"Public administration"]
[{"$nulls":4},"Nonprofit organizations"]
[{"$nulls":4},"Public-private sector cooperation"]
[{"$nulls":4},"Social participation"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"New Public Governance, the Third Sector and Co-Production; Copyright; Contents; List of Tables; List of Figures; Foreword; 1 Co-Production as a Maturing Concept; PART I What Is Co-Production? Conceptual and Theoretical Perspectives; 2 Co-Production and Third Sector Social Services in Europe: Some Crucial Conceptual Issues; 3 From Engagement to Co-Production: How Users and Communities Contribute to Public Services; 4 Co-Production: Contested Meanings and Challenges for User Organizations; 5 Third Sector and the Co-Construction of Canadian Public Policy; 6 From Co-Production to Co-Governance"]
[{"$nulls":4},"PART II How Does Co-Production Work?7 Co-Production from a Normative Perspective; 8 Co-Production and Network Structures in Public Education; 9 The Conditions for Successful Co-Production in Housing: A Case Study of German Housing Cooperatives; 10 Co-Production in an Information Age; PART III How Does Co-Management Work?; 11 Co-Management to Solve Homelessness: Wicked Solutions for Wicked Problems; 12 Co-Management in Urban Regeneration: New Perspectives on Transferable Collaborative Practice"]
[{"$nulls":4},"13 'Don't Bite The Hand That Feeds You?' On the Partnerships between Private Citizen Initiatives and Local Government14 Co-Producing Safety or Participative Window Dressing? Regulation Partnerships in German "]
[{"$nulls":4},"Local Governance Arrangements; 15 The Potential of Nonprofit-Government Partnerships for Promoting Citizen Involvement; PART IV Effects of Co-Production: Service Quality, Accountability and Democracy; 16 Co-Production and Service Quality: A New Perspective for the Swedish Welfare State; 17 Co-Production: An Alternative to the Partial Privatization Processes in Italy and Norway"]
[{"$nulls":4},"18 The Challenges of Co-Management for Public Accountability: Lessons from Flemish Child Care19 New Public Governance, Co-Production and Third Sector Social Services in Europe: Crowding In and Crowding Out; 20 Conclusion: Taking Research on Co-Production a Step Further; List of Contributors; Index"]
[null,null,null,"Sommario/riassunto","In recent years public management research in a variety of disciplines has paid increasing attention to the role of citizens and the third sector in the provision of public services. Several of these efforts have employed the concept of co-production to better understand and explain this trend. This book aims to go further by systematizing the growing body of academic papers and reports that focus on various aspects of co-production and its potential contribution to new public governance. It has an interdisciplinary focus that makes a unique contribution to the body of knowledge in this fie"]
[null,"2.","Record Nr.",null,"UNINA9910831035903321"]
[null,null,"Autore",null,"Haupt Randy L"]
[null,null,"Titolo",null,"Genetic algorithms in electromagnetics / / Randy L. Haupt, Douglas H. Werner"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, New Jersey : , : IEEE Press : , c2007"]
[null,null,"ISBN",null,"0-470-65345-0"]
[{"$nulls":4},"1-280-82671-1"]
[{"$nulls":4},"9786610826711"]
[{"$nulls":4},"0-470-10628-X"]
[{"$nulls":4},"0-470-10627-1"]
[null,null,"Descrizione fisica",null,"1 online resource (317 p.)"]
[null,null,"Disciplina",null,"537.015197"]
[{"$nulls":4},"621.30285/631"]
[{"$nulls":4},"621.30285631"]
[null,null,"Soggetti",null,"Antenna arrays - Design"]
[{"$nulls":4},"Electromagnetism - Mathematical models"]
[{"$nulls":4},"Genetic algorithms"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 277-297) and index."]
[null,null,"Nota di contenuto",null,"Preface. -- Acknowledgments. -- 1. Introduction to Optimization in Electromagnetics. -- 1.1 Optimizing a Function of One Variable. -- 1.1.1 Exhaustive Search. -- 1.1.2 Random Search. -- 1.1.3 Golden Search. -- 1.1.4 Newton's Method. -- 1.1.5 Quadratic Interpolation. -- 1.2 Optimizing a Function of Multiple Variables. -- 1.2.1 Random Search. -- 1.2.2 Line Search. -- 1.2.3 Nelder-Mead Downhill Simplex Algorithm. -- 1.3 Comparing Local Numerical Optimization Algorithms. -- 1.4 Simulated Annealing. -- 1.5 Genetic Algorithm. -- 2. Anatomy of a Genetic Algorithm. -- 2.1 Creating an Initial Population. -- 2.2 Evaluating Fitness. -- 2.3 Natural Selection. -- 2.4 Mate Selection. -- 2.4.1 Roulette Wheel Selection. -- 2.4.2 Tournament Selection. -- 2.5 Generating Offspring. -- 2.6 Mutation. -- 2.7 Terminating the Run. -- 3. Step-by-Step Examples. -- 3.1 Placing Nulls. -- 3.2 Thinned Arrays. -- 4. Optimizing Antenna Arrays. -- 4.1 Optimizing Array Amplitude Tapers. -- 4.2 Optimizing Array Phase Tapers. -- 4.2.1 Optimum Quantized Low-Sidelobe Phase Tapers. -- 4.2.2 Phase-Only Array Synthesis Using Adaptive GAs. -- 4.3 Optimizing Arrays with Complex "]
[{"$nulls":4},"Weighting. -- 4.3.1 Shaped-Beam Synthesis. -- 4.3.2 Creating a Plane Wave in the Near Field. -- 4.4 Optimizing Array Element Spacing. -- 4.4.1 Thinned Arrays. -- 4.4.2 Interleaved Thinned Linear Arrays. -- 4.4.3 Array Element Perturbation. -- 4.4.4 Aperiodic Fractile Arrays. -- 4.4.5 Fractal-Random and Polyfractal Arrays. -- 4.4.6 Aperiodic Refl ectarrays. -- 4.5 Optimizing Conformal Arrays. -- 4.6 Optimizing Reconfi gurable Apertures. -- 4.6.1 Planar Reconfi gurable Cylindrical Wire Antenna Design. -- 4.6.2 Planar Reconfi gurable Ribbon Antenna Design. -- 4.6.3 Design of Volumetric Reconfi gurable Antennas. -- 4.6.4 Simulation Results--Planar Reconfi gurable Cylindrical Wire Antenna. -- 4.6.5 Simulation Results--Volumetric Reconfi gurable Cylindrical Wire Antenna. -- 4.6.6 Simulation Results--Planar Reconfi gurable Ribbon Antenna. -- 5. Smart Antennas Using a GA."]
[{"$nulls":4},"5.1 Amplitude and Phase Adaptive Nulling. -- 5.2 Phase-Only Adaptive Nulling. -- 5.3 Adaptive Reflector. -- 5.4 Adaptive Crossed Dipoles. -- 6. Genetic Algorithm Optimization of Wire Antennas. -- 6.1 Introduction. -- 6.2 GA Design of Electrically Loaded Wire Antennas. -- 6.3 GA Design of Three-Dimensional Crooked-Wire Antennas. -- 6.4 GA Design of Planar Crooked-Wire and Meander-Line Antennas. -- 6.5 GA Design of Yagida Antennas. -- 7. Optimization of Aperture Antennas. -- 7.1 Refl ector Antennas. -- 7.2 Horn Antennas. -- 7.3 Microstrip Antennas. -- 8. Optimization of Scattering. -- 8.1 Scattering from an Array of Strips. -- 8.2 Scattering from Frequency-Selective Surfaces. -- 8.2.1 Optimization of FSS Filters. -- 8.2.2 Optimization of Reconfi gurable FSSs. -- 8.2.3 Optimization of EBGs. -- 8.3 Scattering from Absorbers. -- 8.3.1 Conical or Wedge Absorber Optimization. -- 8.3.2 Multilayer Dielectric Broadband Absorber Optimization. -- 8.3.3 Ultrathin Narrowband Absorber Optimization. -- 9. GA Extensions. -- 9.1 Selecting Population Size and Mutation Rate. -- 9.2 Particle Swarm Optimization (PSO). -- 9.3 Multiple-Objective Optimization. -- 9.3.1 Introduction. -- 9.3.2 Strength Pareto Evolutionary Algorithm Strength Value Calculation. -- 9.3.3 Strength Pareto Evolutionary Algorithm Pareto Set Clustering. -- 9.3.4 Strength Pareto Evolutionary Algorithm Implementation. -- 9.3.5 SPEA-Optimized Planar Arrays. -- 9.3.6 SPEA-Optimized Planar Polyfractal Arrays. -- Appendix: MATLAB Code. -- Bibliography. -- Index."]
[null,null,null,"Sommario/riassunto","A thorough and insightful introduction to using genetic algorithms to optimize electromagnetic systems Genetic Algorithms in Electromagnetics focuses on optimizing the objective function when a computer algorithm, analytical model, or experimental result describes the performance of an electromagnetic system. It offers expert guidance to optimizing electromagnetic systems using genetic algorithms (GA), which have proven to be tenacious in finding optimal results where traditional techniques fail. Genetic Algorithms in Electromagnetics begins with an introduction to optimization and several commonly used numerical optimization routines, and goes on to feature: . Introductions to GA in both binary and continuous variable forms, complete with examples of MATLAB(r) commands. Two step-by-step examples of optimizing antenna arrays as well as a comprehensive overview of applications of GA to antenna array design problems. Coverage of GA as an adaptive algorithm, including adaptive and smart arrays as well as adaptive reflectors and crossed dipoles. Explanations of the optimization of several different wire antennas, starting with the famous \"crooked monopole\". How to optimize horn, reflector, and microstrip patch antennas, which require significantly more computing power than wire antennas. Coverage of GA optimization of scattering, including scattering from frequency selective surfaces and electromagnetic band gap materials. Ideas on operator and parameter "]
[{"$nulls":4},"selection for a GA. Detailed explanations of particle swarm optimization and multiple objective optimization. An appendix of MATLAB code for experimentation."]