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[null,"1.","Record Nr.",null,"UNINA9910169360103321"]
[null,null,"Autore",null,"Fox, L. <Leslie>"]
[null,null,"Titolo",null,"Computing methods for scientists and engineers / by L. Fox and D. F. Mayers"]
[null,null,"Pubbl/distr/stampa",null,"Oxford : Clarendon Press, 1968"]
[null,null,"Descrizione fisica",null,"xii, 255 p. ; 25 cm"]
[null,null,"Collana",null,"Monographs on numerical analysis"]
[null,null,"Locazione",null,"DCH"]
[null,null,"Collocazione",null,"DCH-001-12"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910790634903321"]
[null,null,"Autore",null,"Siron Eric"]
[null,null,"Titolo",null,"Microsoft Hyper-V cluster design / / Eric Siron"]
[null,null,"Pubbl/distr/stampa",null,"Birmingham : , : Packt Publishing, , [2013]"]
[{"$nulls":4},"©2013"]
[null,null,"ISBN",null,"1-78217-769-8"]
[null,null,"Descrizione fisica",null,"1 online resource (462 p.)"]
[null,null,"Disciplina",null,"005.4476"]
[null,null,"Soggetti",null,"System design"]
[{"$nulls":4},"System design - Data processing"]
[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","Includes index."]
[null,null,"Nota di contenuto",null,"Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Hyper-V Cluster Orientation; Terminology; Clustering in a Microsoft environment; Create a project document; Purposes for a Hyper-V Server cluster; High availability; High Availability Printing; Balancing resources; Geographic dispersion; Natural replacement for aging infrastructure; Test, development, and training systems; Cloud hosting; Resource metering; VDI and RemoteFX; Be open to other purposes; Goals for a Hyper-V Server cluster"]
[{"$nulls":4},"Identify the resources that cannot be virtualizedConsult with application vendors; Involve internal stakeholders; Define phases and timelines; Perform further research; Define success metrics; Measure and predict your workload; Only allow changes during the planning phase; Looking forward to the Design phase; Host computers; Storage; Cluster Shared Volumes; SMB shares; Mixing SMB 3.0 and CSV; Networking; Management; Cluster and Cluster Shared Volumes; Live Migration; Subnetting; Virtual machine traffic; Storage traffic; Physical adapter considerations; Adapter teaming; Active Directory"]
[{"$nulls":4},"Virtualized domain controllersSupporting software; Management tools; Backup; Training; A sample Hyper-V Cluster planning document; Sample project title - Techstra Hyper-V Cluster Project; Sample project - purposes; Sample project - goals; Review the sample project; Summary; Chapter 2: Cluster Design and Planning; Starting the design phase; Planning for existing systems; Deciding how you will virtualize physical systems; Determining requirements for existing systems; "]
[{"$nulls":4},"Microsoft Assessment and Planning Toolkit; Performance Monitor; General approaches to reading the metrics; Memory measurements"]
[{"$nulls":4},"Network measurementsDisk measurements; Processor measurements; Host computer components; Hyper-V Server requirements; CPU; Memory; Host networking; Host storage; Management operating system; Hyper-V Server; Windows Server; Deciding on a management operating system; Networking; Advanced networking hardware; Shared storage; Storage area network devices; Network-attached storage devices; General purpose computers; Shared storage performance characteristics; Designing shared storage; Software licensing; Windows Server and guest virtualization rights; Software Assurance; Client access licenses"]
[{"$nulls":4},"Other software licensesHyper-V and cluster-related software planning; Remote software applications; Local software applications; Blade hardware; Physical placement; Security; Domain separation; Hyper-V isolation; Network isolation; Complete the planning phase; Sample project - planning and design; Sample project - hardware; Summary; Chapter 3: Constructing a Hyper-V Server Cluster; Documenting the initial setup phase; Build steps not covered in this book; Auxiliary built-in tools; Acquiring and enabling the GUI tools; Enabling the tools on Windows 8/8.1 from the GUI"]
[{"$nulls":4},"Enabling the tools on Windows Server 2012/R2 in the GUI"]
[null,null,null,"Sommario/riassunto","This book is written in a friendly and practical style with numerous tutorials centred on common as well as atypical Hyper-V cluster designs. This book also features a sample cluster design throughout to help you learn how to design a Hyper-V in a real-world scenario.Microsoft Hyper-V Cluster Design is perfect for the systems administrator who has a good understanding of Windows Server in an Active Directory domain and is ready to expand into a highly available virtualized environment. It only expects that you will be familiar with basic hypervisor terminology."]
[null,"3.","Record Nr.",null,"UNINA9910814521403321"]
[null,null,"Autore",null,"Yang Xin-She"]
[null,null,"Titolo",null,"Engineering optimization : an introduction with metaheuristic applications / / Xin-She Yang"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, NJ, : Wiley, c2010"]
[null,null,"ISBN",null,"9786612707773"]
[{"$nulls":4},"9781282707771"]
[{"$nulls":4},"1282707779"]
[{"$nulls":4},"9780470640425"]
[{"$nulls":4},"0470640421"]
[{"$nulls":4},"9780470640418"]
[{"$nulls":4},"0470640413"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (377 p.)"]
[null,null,"Disciplina",null,"620.001/5196"]
[null,null,"Soggetti",null,"Heuristic programming"]
[{"$nulls":4},"Mathematical optimization"]
[{"$nulls":4},"Engineering mathematics"]
[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,"Engineering Optimization: An Introduction with Metaheuristic Applications; CONTENTS; List of Figures; Preface; Acknowledgments; Introduction; PART I FOUNDATIONS OF OPTIMIZATION AND ALGORITHMS; 1 A Brief History of Optimization; 1.1 Before 1900; 1.2 Twentieth Century; 1.3 Heuristics and Metaheuristics; Exercises; 2 Engineering Optimization; 2.1 Optimization; 2.2 Type of Optimization; 2.3 Optimization Algorithms; 2.4 Metaheuristics; 2.5 Order Notation; 2.6 Algorithm Complexity; 2.7 No Free Lunch Theorems; Exercises; 3 Mathematical Foundations; 3.1 Upper and Lower Bounds; 3.2 Basic Calculus"]
[{"$nulls":4},"3.3 Optimality3.3.1 Continuity and Smoothness; 3.3.2 Stationary Points; 3.3.3 Optimality Criteria; 3.4 Vector and Matrix Norms; 3.5 Eigenvalues and Definiteness; 3.5.1 Eigenvalues; 3.5.2 Definiteness; 3.6 Linear and Affine Functions; 3.6.1 Linear Functions; 3.6.2 Affine Functions; 3.6.3 Quadratic Form; 3.7 Gradient and Hessian Matrices; 3.7.1 Gradient; 3.7.2 Hessian; 3.7.3 Function approximations; 3.7.4 Optimality of multivariate functions; 3.8 Convexity; 3.8.1 Convex Set; 3.8.2 Convex Functions; Exercises; 4 Classic Optimization Methods I; "]
[{"$nulls":4},"4.1 Unconstrained Optimization"]
[{"$nulls":4},"4.2 Gradient-Based  Methods4.2.1 Newton's Method; 4.2.2 Steepest Descent Method; 4.2.3 Line Search; 4.2.4 Conjugate Gradient Method; 4.3 Constrained Optimization; 4.4 Linear Programming; 4.5 Simplex Method; 4.5.1 Basic Procedure; 4.5.2 Augmented Form; 4.6 Nonlinear Optimization; 4.7 Penalty Method; 4.8 Lagrange Multipliers; 4.9 Karush-Kuhn-Tucker Conditions; Exercises; 5 Classic Optimization Methods II; 5.1 BFGS Method; 5.2 Nelder-Mead Method; 5.2.1 A Simplex; 5.2.2 Nelder-Mead Downhill Simplex; 5.3 Trust-Region Method; 5.4 Sequential Quadratic Programming; 5.4.1 Quadratic Programming"]
[{"$nulls":4},"5.4.2 Sequential Quadratic ProgrammingExercises; 6 Convex Optimization; 6.1 KKT Conditions; 6.2 Convex Optimization Examples; 6.3 Equality Constrained Optimization; 6.4 Barrier Functions; 6.5 Interior-Point Methods; 6.6 Stochastic and Robust Optimization; Exercises; 7 Calculus of Variations; 7.1 Euler-Lagrange Equation; 7.1.1 Curvature; 7.1.2 Euler-Lagrange Equation; 7.2 Variations with Constraints; 7.3 Variations for Multiple Variables; 7.4 Optimal Control; 7.4.1 Control Problem; 7.4.2 Pontryagin's Principle; 7.4.3 Multiple Controls; 7.4.4 Stochastic Optimal Control; Exercises"]
[{"$nulls":4},"8 Random Number Generators8.1 Linear Congruential Algorithms; 8.2 Uniform Distribution; 8.3 Other Distributions; 8.4 Metropolis Algorithms; Exercises; 9 Monte Carlo Methods; 9.1 Estimating π; 9.2 Monte Carlo Integration; 9.3 Importance of Sampling; Exercises; 10 Random Walk and Markov Chain; 10.1 Random Process; 10.2 Random Walk; 10.2.1 ID Random Walk; 10.2.2 Random Walk in Higher Dimensions; 10.3 Lévy Flights; 10.4 Markov Chain; 10.5 Markov Chain Monte Carlo; 10.5.1 Metropolis-Hastings Algorithms; 10.5.2 Random Walk; 10.6 Markov Chain and Optimisation; Exercises"]
[{"$nulls":4},"PART II METAHEURISTIC ALGORITHMS"]
[null,null,null,"Sommario/riassunto","An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences  From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insigh"]