LEADER 05280nam 2200637 450 001 9910807445203321 005 20230807212327.0 010 $a1-5231-1037-6 010 $a1-119-00028-9 010 $a1-119-02004-2 010 $a1-118-99128-1 035 $a(CKB)3710000000321383 035 $a(EBL)1895875 035 $a(SSID)ssj0001402740 035 $a(PQKBManifestationID)11771609 035 $a(PQKBTitleCode)TC0001402740 035 $a(PQKBWorkID)11360577 035 $a(PQKB)10637428 035 $a(MiAaPQ)EBC1895875 035 $a(DLC) 2014048449 035 $a(Au-PeEL)EBL1895875 035 $a(CaPaEBR)ebr11005790 035 $a(CaONFJC)MIL687889 035 $a(OCoLC)899134821 035 $a(EXLCZ)993710000000321383 100 $a20141211h20152015 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aProject management 2.0 $eleveraging tools, distributed collaboration, and metrics for project success /$fHarold Kerzner 210 1$aHoboken, New Jersey :$cJohn Wiley & Sons Inc.,$d[2015] 210 4$dİ2015 215 $a1 online resource (339 p.) 300 $aIncludes index. 311 $a1-322-56607-0 311 $a1-118-99125-7 327 $aCover; Title Page; Copyright; Contents; Chapter 1 Project Management 2.0; 1.0 Introduction: Changing Times; 1.1 Characteristics of PM 1.0; 1.2 Other Critical Issues With PM 1.0; 1.3 Project Management 2.0; 1.4 Criticism of PM 2.0; 1.5 Project Management 2.0 : Technological Blessing or Curse?; 1.6 Policing PM 2.0; 1.7 Working With Stakeholders in PM 2.0; Today's View of Stakeholder Relations Management; Need for Meaningful Information; All That Glitters is not Gold; 1.8 Finding the Information; 1.9 Percent Complete Dilemma; 1.10 Information Overload; 1.11 Customer Satisfaction Headache 327 $a1.12 Determining Project Health1.13 Dashboard Rules for Displaying Data; 1.14 Reduction in Cost of Paperwork; 1.15 Reduction in Executive Meddling; 1.16 Project Management Skills; 1.17 Contingency Planning; Discussion Questions; Chapter 2 A Peek Into the Future of Project Management; 2.0 Changing Times; 2.1 Impact of Recessions; 2.2 Executive View of Project Management; 2.3 Engagement Project Management; 2.4 Growth of More Complex Projects; 2.5 Need for Additional Metrics; 2.6 New Developments in Project Management; 2.7 Project Manager's Tool Box; 2.8 Need for Continuous Improvement 327 $a2.9 ConclusionsDiscussion Questions; Chapter 3 Understanding Success and Failure; 3.0 Introduction; 3.1 Project Management-Early Years: 1945-1960; 3.2 Project Management Begins to Grow: 1970-1985; 3.3 Growth in Competing Constraints; 3.4 Rule of Inversion; 3.5 Growth in Measurement Techniques; 3.6 Trade-Offs; 3.7 Putting Together Components of Success; 3.8 New Definition of Success; 3.9 Understanding Project Failure; 3.10 Causes of Project Failure; Discussion Questions; Chapter 4 Value-Driven Project Management; 4.0 Introduction; 4.1 Understanding Today's View of Value; 4.2 Value Modeling 327 $a4.3 Value and Leadership Changes for PM 2.04.4 Value-Based Trade-Offs; 4.5 Need for Value Metrics; 4.6 Creating a Value Metric; 4.7 Displaying Value Metrics in a Dashboard; 4.8 Selecting Value Attributes; 4.9 Additional Complexities With Value Metrics; Discussion Questions; Chapter 5 Growing Importance of Metrics With PM 2.0; 5.0 Introduction; 5.1 Enterprise Resource Planning; 5.2 Need for Better Project Metrics; 5.3 Causes for Lack of Support for Metrics Management; 5.4 Characteristics of a Metric; 5.5 Metrics Selection; 5.6 Key Performance Indicators; Need for KPIs; Using KPIs 327 $aAnatomy of a KPIKPI Characteristics; KPI Failures; 5.7 Dashboards and Scorecards; 5.8 Business Intelligence; 5.9 Growth in Dashboard Information Systems; 5.10 Selecting an Infographics Designer; 5.11 Project Health Check Metrics; 5.12 Maintaining Project's Direction; 5.13 Metrics and Virtual Teams; 5.14 Metric Mania; 5.15 Metric Training Sessions; 5.16 Metric Owners; 5.17 Answering Metric Questions; Discussion Questions; Chapter 6 Project Management Methodologies: 1.0 Versus 2.0; 6.0 Introduction; 6.1 PM 2.0 Definition of Project Management Excellence; 6.2 Need for a Methodology 327 $a6.3 Need for an Enterprisewide Methodology 330 $aGet connected and improve outcomes with a more modern approach to project management Project Management 2.0 tackles the new emerging approach and toolset for practicing project management in a virtual world. Author Harold Kerzner is recognized as the thought leader in project management, and in this book, he shows how PM 2.0 offers better outcomes with a focus on new tools, better governance, improved collaboration, and more meaningful reporting using KPIs, metrics, and dashboards. This full color guide explores the impact PM 2.0 changes are having on organizations around the world, and provid 606 $aProject management 615 0$aProject management. 676 $a658.4/04 700 $aKerzner$b Harold$0248153 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910807445203321 996 $aProject management 2.0$91542024 997 $aUNINA LEADER 03283nam 2200745 a 450 001 9910966520803321 005 20200520144314.0 010 $a9780674053915 010 $a0674053915 024 7 $a10.4159/9780674053915 035 $a(CKB)2670000000040578 035 $a(OCoLC)651657407 035 $a(CaPaEBR)ebrary10399444 035 $a(SSID)ssj0000423723 035 $a(PQKBManifestationID)11300344 035 $a(PQKBTitleCode)TC0000423723 035 $a(PQKBWorkID)10468665 035 $a(PQKB)11112859 035 $a(MiAaPQ)EBC3300779 035 $a(Au-PeEL)EBL3300779 035 $a(CaPaEBR)ebr10399444 035 $a(DE-B1597)574322 035 $a(DE-B1597)9780674053915 035 $a(OCoLC)1294423839 035 $a(Perlego)1148558 035 $a(EXLCZ)992670000000040578 100 $a20080918d2009 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aNaming infinity $ea true story of religious mysticism and mathematical creativity /$fLoren Graham and Jean-Michel Kantor 205 $a1st ed. 210 $aCambridge, Mass. $cBelknap Press of Harvard University Press$d2009 215 $a1 online resource (252 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9780674032934 311 08$a0674032934 320 $aIncludes bibliographical references (p. 212-227) and index. 327 $aStorming a monastery -- A crisis in mathematics -- The French trio: Borel, Lebesgue, Baire -- The Russian trio: Egorov, Luzin, Florensky -- Russian mathematics and mysticism -- The legendary Lusitania -- Fates of the Russian trio -- Lusitania and after -- The human in mathematics, then and now. 330 $aIn 1913, Russian imperial marines stormed an Orthodox monastery at Mt. Athos, Greece to haul off monks engaged in a dangerously heretical practice known as Name Worshipping. Loren Graham and Jean-Michel Kantor take us on an exciting mathematical mystery tour as they unravel a bizarre tale of political struggles, psychological crises, sexual complexities, and ethical dilemmas. The men and women of the leading French and Russian mathematical schools are central characters in this absorbing tale that could not be told until now. Naming Infinity is a poignant human interest story that raises provocative questions about science and religion, intuition and creativity. 606 $aMathematics$zRussia (Federation)$xReligious aspects 606 $aMysticism$zRussia (Federation) 606 $aMathematics$zRussia (Federation)$xPhilosophy 606 $aMathematics$zFrance$xReligious aspects 606 $aMathematics$zFrance$xPhilosophy 606 $aSet theory 615 0$aMathematics$xReligious aspects. 615 0$aMysticism 615 0$aMathematics$xPhilosophy. 615 0$aMathematics$xReligious aspects. 615 0$aMathematics$xPhilosophy. 615 0$aSet theory. 676 $a510.947/0904 686 $aBH 3200$2rvk 700 $aGraham$b Loren R$047336 701 $aKantor$b Jean-Michel$01804822 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910966520803321 996 $aNaming infinity$94353059 997 $aUNINA LEADER 05512nam 2200757 a 450 001 9911020251503321 005 20200520144314.0 010 $a9786610847693 010 $a9781280847691 010 $a1280847697 010 $a9780470612491 010 $a0470612495 010 $a9780470394625 010 $a0470394625 010 $a9781847045812 010 $a1847045812 035 $a(CKB)1000000000335551 035 $a(EBL)700741 035 $a(SSID)ssj0000313009 035 $a(PQKBManifestationID)11222644 035 $a(PQKBTitleCode)TC0000313009 035 $a(PQKBWorkID)10358140 035 $a(PQKB)10565906 035 $a(MiAaPQ)EBC700741 035 $a(MiAaPQ)EBC261987 035 $a(Au-PeEL)EBL261987 035 $a(CaONFJC)MIL84769 035 $a(OCoLC)501315925 035 $a(CaSebORM)9781905209316 035 $a(OCoLC)857504033 035 $a(OCoLC)ocn857504033 035 $a(EXLCZ)991000000000335551 100 $a20061003d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aWavelets and their applications /$fedited by Michel Misiti ... [et al.] 205 $a1st edition 210 $aLondon ;$aNewport Beach, CA $cISTE$d2007 215 $a1 online resource (354 p.) 225 1 $aISTE ;$vv.668 300 $a"Part of this book adapted from "Les ondelettes et leurs applications" published in France by Hermes Science/Lavoisier in 2003."--T.p. verso. 311 08$a9781905209316 311 08$a1905209312 320 $aIncludes bibliographical references (p. [321]-327) and index. 327 $aWavelets and their Applications; Table of Contents; Notations; Introduction; Chapter 1. A Guided Tour; 1.1. Introduction; 1.2. Wavelets; 1.2.1. General aspects; 1.2.2. A wavelet; 1.2.3. Organization of wavelets; 1.2.4. The wavelet tree for a signal; 1.3. An electrical consumption signal analyzed by wavelets; 1.4. Denoising by wavelets: before and afterwards; 1.5. A Doppler signal analyzed by wavelets; 1.6. A Doppler signal denoised by wavelets; 1.7. An electrical signal denoised by wavelets; 1.8. An image decomposed by wavelets; 1.8.1. Decomposition in tree form 327 $a1.8.2. Decomposition in compact form1.9. An image compressed by wavelets; 1.10. A signal compressed by wavelets; 1.11. A fingerprint compressed using wavelet packets; Chapter 2. Mathematical Framework; 2.1. Introduction; 2.2. From the Fourier transform to the Gabor transform; 2.2.1. Continuous Fourier transform; 2.2.2. The Gabor transform; 2.3. The continuous transform in wavelets; 2.4. Orthonormal wavelet bases; 2.4.1. From continuous to discrete transform; 2.4.2. Multi-resolution analysis and orthonormal wavelet bases; 2.4.3. The scaling function and the wavelet; 2.5. Wavelet packets 327 $a2.5.1. Construction of wavelet packets2.5.2. Atoms of wavelet packets; 2.5.3. Organization of wavelet packets; 2.6. Biorthogonal wavelet bases; 2.6.1. Orthogonality and biorthogonality; 2.6.2. The duality raises several questions; 2.6.3. Properties of biorthogonal wavelets; 2.6.4. Semi-orthogonal wavelets; Chapter 3. From Wavelet Bases to the Fast Algorithm; 3.1. Introduction; 3.2. From orthonormal bases to the Mallat algorithm; 3.3. Four filters; 3.4. Efficient calculation of the coefficients; 3.5. Justification: projections and twin scales; 3.5.1. The decomposition phase 327 $a3.5.2. The reconstruction phase3.5.3. Decompositions and reconstructions of a higher order; 3.6. Implementation of the algorithm; 3.6.1. Initialization of the algorithm; 3.6.2. Calculation on finite sequences; 3.6.3. Extra coefficients; 3.7. Complexity of the algorithm; 3.8. From 1D to 2D; 3.9. Translation invariant transform; 3.9.1. ? -decimated DWT; 3.9.2. Calculation of the SWT; 3.9.3. Inverse SWT; Chapter 4. Wavelet Families; 4.1. Introduction; 4.2. What could we want from a wavelet?; 4.3. Synoptic table of the common families; 4.4. Some well known families 327 $a4.4.1. Orthogonal wavelets with compact support4.4.1.1. Daubechies wavelets: dbN; 4.4.1.2. Symlets: symN; 4.4.1.3. Coiflets: coifN; 4.4.2. Biorthogonal wavelets with compact support: bior; 4.4.3. Orthogonal wavelets with non-compact support; 4.4.3.1. The Meyer wavelet: meyr; 4.4.3.2. An approximation of the Meyer wavelet: dmey; 4.4.3.3. Battle and Lemarie? wavelets: btlm; 4.4.4. Real wavelets without filters; 4.4.4.1. The Mexican hat: mexh; 4.4.4.2. The Morlet wavelet: morl; 4.4.4.3. Gaussian wavelets: gausN; 4.4.5. Complex wavelets without filters; 4.4.5.1. Complex Gaussian wavelets: cgau 327 $a4.4.5.2. Complex Morlet wavelets: cmorl 330 $aThe last 15 years have seen an explosion of interest in wavelets with applications in fields such as image compression, turbulence, human vision, radar and earthquake prediction. Wavelets represent an area that combines signal in image processing, mathematics, physics and electrical engineering. As such, this title is intended for the wide audience that is interested in mastering the basic techniques in this subject area, such as decomposition and compression. 410 0$aISTE 606 $aWavelets (Mathematics) 615 0$aWavelets (Mathematics) 676 $a515/.2433 701 $aMisiti$b Michel$0978944 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911020251503321 996 $aWavelets and their applications$92231452 997 $aUNINA