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