LEADER 01031nam0 22002771i 450 001 SUN0010990 005 20060427120000.0 100 $a20021129d1991 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aFrancia$fdi Rosanna Ricci 210 $aRoma$cBancaria$d1991 215 $a149 p.$d24 cm. 410 1$1001SUN0010973$12001 $aManuali di legislazioni bancarie estere$v2$1210 $aRoma$cBancaria. 606 $aBanche$xSpagna$xLegislazione$2FI$3SUNC005996 620 $dRoma$3SUNL000360 676 $a346.46082$v21 700 1$aRicci$b, Rosanna$3SUNV008312$0133008 712 $aBancaria$3SUNV002286$4650 801 $aIT$bSOL$c20181109$gRICA 912 $aSUN0010990 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$d00 CONS VI.Em.24 $e00 5406 995 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$h5406$kCONS VI.Em.24$op$qa 996 $aFrancia$9443529 997 $aUNICAMPANIA LEADER 03897nam 2200601 450 001 9910460666003321 005 20200520144314.0 010 $a1-63157-324-1 035 $a(CKB)3710000000552080 035 $a(OCoLC)935736446 035 $a(CaBNVSL)swl00406102 035 $a(MiAaPQ)EBC4307174 035 $a(Au-PeEL)EBL4307174 035 $a(CaPaEBR)ebr11138053 035 $a(CaONFJC)MIL884209 035 $a(OCoLC)939264315 035 $a(EXLCZ)993710000000552080 100 $a20160119d2016 fy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aAgile project management for business transformation success /$fPaul Paquette and Milan Frankl 205 $aFirst edition. 210 1$aNew York, New York (222 East 46th Street, New York, NY 10017) :$cBusiness Expert Press,$d2016. 215 $a1 online resource (xii, 117 pages) 225 1 $aPortfolio and project management collection,$x2156-8200 311 $a1-63157-323-3 320 $aIncludes bibliographical references (pages 109-114) and index. 327 $a1. Agile concepts -- 2. Agile change management, an overview -- 3. Agile background -- 4. Agile communication -- 5. Agile teamwork functionality -- 6. Governance and enterprise agile -- 7. Agile processes -- 8. Agile market leadership -- 9. Agile organizational alignment and support -- 10. Agile resource optimization -- 11. Conclusion -- Agile glossary -- Bibliography -- Index. 330 3 $aThis book is intended to provide project management office (PMO) executives practical information to promote enterprise Agile for business value compatibility within their organization. The primary benefit of this book is to promote a sense of common purpose and collaboration between the project delivery and the organization. Agile project delivery methods are adaptable to the emergence of unknown requirements identified in the later part of the project delivery lifecycle. Transparency is improved through the Agile characteristics of continuous feedback loops, daily stand-up meetings, demonstrations, retrospectives, prototypes, and project management tools such as Kanban boards, burn-down charts, and pie chart dashboards. The key success factor is direct business participation and collaboration to ensure that a business focus determines the output. Agile project management delivers business value rather than following a plan by using prioritized backlogs to ensure early and consistent delivery of features and products from the customer perspective without the overhead of low-value artifacts and bureaucracy. The Agile Advantage encourages technology deployment as a paradigm shift rather than a planned incremental improvement to existing systems and processes. Agile promotes innovation and creates synergies through a business focus viewing technology deployments as a catalyst for change rather than the final objective. Technology investments implemented through Agile processes result in improved market leadership, organizational alignment, and resource efficiency delivering competitive advantage. 410 0$aPortfolio and project management collection.$x2156-8200 606 $aProject management 606 $aAgile software development 608 $aElectronic books. 610 $aAgile method 610 $abusiness process 610 $aproject management 610 $aprototyping 610 $aresource optimization 615 0$aProject management. 615 0$aAgile software development. 676 $a658.404 700 $aPaquette$b Paul.$0931176 702 $aFrankl$b Milan. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910460666003321 996 $aAgile project management for business transformation success$92094806 997 $aUNINA LEADER 05363nam 2200697Ia 450 001 9910139250203321 005 20200520144314.0 010 $a1-118-40067-4 010 $a1-118-40065-8 010 $a1-118-40064-X 035 $a(CKB)2560000000103317 035 $a(EBL)1207568 035 $a(OCoLC)830837653 035 $a(SSID)ssj0000885958 035 $a(PQKBManifestationID)11499250 035 $a(PQKBTitleCode)TC0000885958 035 $a(PQKBWorkID)10816517 035 $a(PQKB)11313624 035 $a(MiAaPQ)EBC1207568 035 $a(DLC) 2013011634 035 $a(Au-PeEL)EBL1207568 035 $a(CaPaEBR)ebr10716702 035 $a(CaONFJC)MIL496087 035 $a(PPN)191455539 035 $a(EXLCZ)992560000000103317 100 $a20130320d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDifference and differential equations with applications in queueing theory$b[electronic resource] /$fAliakbar M. Haghighi, Dimitar P. Mishev 210 $aHoboken, NJ $cJohn Wiley & Sons, Inc.$dc2013 215 $a1 online resource (420 p.) 300 $aDescription based upon print version of record. 311 $a1-118-39324-4 320 $aIncludes bibliographical references and index. 327 $aCover; Title page; Copyright page; Contents; Preface; CHAPTER ONE: Probability and Statistics; 1.1. Basic Definitions and Concepts of Probability; 1.2. Discrete Random Variables and Probability Distribution Functions; 1.3. Moments of a Discrete Random Variable; 1.4. Continuous Random Variables; 1.5. Moments of a Continuous Random Variable; 1.6. Continuous Probability Distribution Functions; 1.7. Random Vector; 1.8. Continuous Random Vector; 1.9. Functions of a Random Variable; 1.10. Basic Elements of Statistics; 1.10.1. Measures of Central Tendency; 1.10.2. Measure of Dispersion 327 $a1.10.3. Properties of Sample Statistics1.11. Inferential Statistics; 1.11.1. Point Estimation; 1.11.2. Interval Estimation; 1.12. Hypothesis Testing; 1.13. Reliability; Exercises; CHAPTER TWO: Transforms; 2.1. Fourier Transform; 2.2. Laplace Transform; 2.3. Z-Transform; 2.4. Probability Generating Function; 2.4.1. Some Properties of a Probability Generating Function; Exercises; CHAPTER THREE: Differential Equations; 3.1. Basic Concepts and Definitions; 3.2. Existence and Uniqueness; 3.3. Separable Equations; 3.3.1. Method of Solving Separable Differential Equations 327 $a3.4. Linear Differential Equations3.4.1. Method of Solving a Linear First-Order Differential Equation; 3.5. Exact Differential Equations; 3.6. Solution of the First ODE by Substitution Method; 3.6.1. Substitution Method; 3.6.2. Reduction to Separation of Variables; 3.7. Applications of the First-Order ODEs; 3.8. Second-Order Homogeneous ODE; 3.8.1. Solving a Linear Homogeneous Second-Order Differential Equation; 3.9. The Second-Order Nonhomogeneous Linear ODE with Constant Coefficients; 3.9.1. Method of Undetermined Coefficients; 3.9.2. Variation of Parameters Method 327 $a3.10. Miscellaneous Methods for Solving ODE3.10.1. Cauchy-Euler Equation; 3.10.2. Elimination Method to Solve Differential Equations; 3.10.3. Application of Laplace Transform to Solve ODE; 3.10.4. Solution of Linear ODE Using Power Series; 3.11. Applications of the Second-Order ODE; 3.11.1. Spring-Mass System: Free Undamped Motion; 3.11.2. Damped-Free Vibration; 3.12. Introduction to PDE: Basic Concepts; 3.12.1. First-Order Partial Differential Equations; 3.12.2. Second-Order Partial Differential Equations; Exercises; CHAPTER FOUR: Difference Equations; 4.1. Basic Terms 327 $a4.2. Linear Homogeneous Difference Equations with Constant Coefficients4.3. Linear Nonhomogeneous Difference Equations with Constant Coefficients; 4.3.1. Characteristic Equation Method; 4.3.2. Recursive Method; 4.4. System of Linear Difference Equations; 4.4.1. Generating Functions Method; 4.5. Differential-Difference Equations; 4.6. Nonlinear Difference Equations; Exercises; CHAPTER FIVE: Queueing Theory; 5.1. Introduction; 5.2. Markov Chain and Markov Process; 5.3. Birth and Death (B-D) Process; 5.4. Introduction to Queueing Theory; 5.5. Single-Server Markovian Queue, M/M/1 327 $a5.5.1. Transient Queue Length Distribution for M/M/1 330 $a"This book features a collection of topics that are used in stochastic processes and, particularly, in queueing theory. Differential equations, difference equations, and Markovian queues (as they relate to systems of linear differential difference equations) are presented, and the relationship between the methods and applications are thoroughly addressed"--$cProvided by publisher. 606 $aDifference equations 606 $aDifferential equations 606 $aQueuing theory 615 0$aDifference equations. 615 0$aDifferential equations. 615 0$aQueuing theory. 676 $a519.8/2 686 $aMAT029000$2bisacsh 700 $aHaghighi$b Aliakbar Montazer$0891451 701 $aMishev$b D. P$g(Dimiter P.)$0891452 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139250203321 996 $aDifference and differential equations with applications in queueing theory$91991100 997 $aUNINA LEADER 04862nam 22007455 450 001 9910686468203321 005 20260408161613.0 010 $a981-19-9527-3 024 7 $a10.1007/978-981-19-9527-9 035 $a(CKB)5840000000241981 035 $a(MiAaPQ)EBC7236610 035 $a(Au-PeEL)EBL7236610 035 $a(DE-He213)978-981-19-9527-9 035 $a(OCoLC)1375994938 035 $a(PPN)269657479 035 $a(MiAaPQ)EBC7235390 035 $a(EXLCZ)995840000000241981 100 $a20230406d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aElliptic Extensions in Statistical and Stochastic Systems /$fby Makoto Katori 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (134 pages) 225 1 $aSpringerBriefs in Mathematical Physics,$x2197-1765 ;$v47 311 08$a981-19-9526-5 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Brownian Motion and Theta Functions -- Biorthogonal Systems of Theta Functions and Macdonald Denominators -- KMLGV Determinants and Noncolliding Brownian Bridges -- Determinantal Point Processes Associated with Biorthogonal Systems -- Doubly Periodic Determinantal Point Processes -- Future Problems. 330 $aHermite's theorem makes it known that there are three levels of mathematical frames in which a simple addition formula is valid. They are rational, q-analogue, and elliptic-analogue. Based on the addition formula and associated mathematical structures, productive studies have been carried out in the process of q-extension of the rational (classical) formulas in enumerative combinatorics, theory of special functions, representation theory, study of integrable systems, and so on. Originating from the paper by Date, Jimbo, Kuniba, Miwa, and Okado on the exactly solvable statistical mechanics models using the theta function identities (1987), the formulas obtained at the q-level are now extended to the elliptic level in many research fields in mathematics and theoretical physics. In the present monograph, the recent progress of the elliptic extensions in the study of statistical and stochastic models in equilibrium and nonequilibrium statistical mechanics and probability theory is shown. At the elliptic level, many special functions are used, including Jacobi's theta functions, Weierstrass elliptic functions, Jacobi's elliptic functions, and others. This monograph is not intended to be a handbook of mathematical formulas of these elliptic functions, however. Thus, use is made only of the theta function of a complex-valued argument and a real-valued nome, which is a simplified version of the four kinds of Jacobi's theta functions. Then, the seven systems of orthogonal theta functions, written using a polynomial of the argument multiplied by a single theta function, or pairs of such functions, can be defined. They were introduced by Rosengren and Schlosser (2006), in association with the seven irreducible reduced affine root systems. Using Rosengren and Schlosser's theta functions, non-colliding Brownian bridges on a one-dimensional torus and an interval are discussed, along with determinantal point processes on a two-dimensional torus. Their scaling limitsare argued, and the infinite particle systems are derived. Such limit transitions will be regarded as the mathematical realizations of the thermodynamic or hydrodynamic limits that are central subjects of statistical mechanics. 410 0$aSpringerBriefs in Mathematical Physics,$x2197-1765 ;$v47 606 $aMathematical physics 606 $aStochastic processes 606 $aStatistical physics 606 $aQuantum theory 606 $aMathematical Physics 606 $aStochastic Processes 606 $aStatistical Physics 606 $aQuantum Physics 606 $aFuncions el·líptiques$2thub 606 $aProcessos estocàstics$2thub 606 $aFísica estadística$2thub 608 $aLlibres electrònics$2thub 615 0$aMathematical physics. 615 0$aStochastic processes. 615 0$aStatistical physics. 615 0$aQuantum theory. 615 14$aMathematical Physics. 615 24$aStochastic Processes. 615 24$aStatistical Physics. 615 24$aQuantum Physics. 615 7$aFuncions el·líptiques 615 7$aProcessos estocàstics 615 7$aFísica estadística 676 $a515.983 700 $aKatori$b Makoto$f1931-$0755845 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910686468203321 996 $aElliptic Extensions in Statistical and Stochastic Systems$93149417 997 $aUNINA