introduction to oracle9i student guide volume 2

Sybex - OCP Introduction to Oracle9i SQL Study Guide

... Village Parkway, Alameda, CA 94501Tel: 510/ 523 - 823 3 Fax: 510/ 523 -23 73 HTTP://www.sybex.comwww.sybex.comCopyright 20 02 SYBEX, Inc., Alameda, CACopyright 20 02 SYBEX, Inc., Alameda, CAwww.sybex.comAssessment ... bytes. VARCHAR2 columns require only the amount of space needed to store the data and can store up to 4000 bytes. There is no default size for the VARCHAR2 datatype. An empty VARCHAR2 (20 00) column ... FK Table Datatype VARCHAR2 VARCHAR2 NUMBER NUMBER Length 9 50 11 ,2 11 ,2 www.sybex.comCopyright 20 02 SYBEX, Inc., Alameda, CACopyright 20 02 SYBEX, Inc., Alameda, CAwww.sybex.comAssessment...

Lecture Notes: Introduction to Finite Element Method (Chapter 2)

Danh mục: Toán học

... ) (2) 1 1 01 2 10 1 2 14 2 13 2 1 2 2 11 1 13 2 1 2 2 11 1 11−− −−=− −=−( )TChecking,1 1 01 2 10 1 2 3 2 1 2 2 ... 12 1 21 22 2 1 2 1 2 1 2 : : (3)A is called a n×n (square) matrix, and x and b are (column)vectors of dimension n.Lecture Notes: Introduction to Finite Element Method Chapter 1. Introduction © ... x bn nn nn n nn n n11 1 12 2 1 1 21 1 22 2 2 2 1 1 2 2+ + + =+ + + =+ + + = (1)where x1, x 2 , , xn are the unknowns.In matrix form:Ax b= (2) where[ ]{ } { }Ax b=...

Introduction to Oracle9i: SQL

Danh mục: Cơ sở dữ liệu

... Operator 2- 18Rules of Precedence 2- 19ORDER BY Clause 2- 22 Sorting in Descending Order 2- 23Sorting by Column Alias 2- 24Sorting by Multiple Columns 2- 25Summary 2- 26Practice 2 Overview 2- 27v3 ... Oracle Corporation, 20 01. All rights reserved. Introduction Creating and Removing Synonyms 12- 24Summary 12- 25Practice 12 Overview 12- 2613 Controlling User AccessObjectives 13 -2 Controlling User ... BETWEEN Condition 2- 10Using the IN Condition 2- 11Using the LIKE Condition 2- 12 Using the NULL Conditions 2- 14Logical Conditions 2- 15Using the AND Operator 2- 16Using the OR Operator 2- 17Using the...

Introduction to Oracle9i : PL/SQL

Danh mục: Kỹ thuật lập trình

... 12- 17Referencing a Public Variable from a Stand-alone Procedure 12- 18Removing Packages 12- 19Guidelines for Developing Packages 12- 20Advantages of Packages 12- 21Summary 12- 23Practice 12 ... Introduction to Oracle9i: PL/SQL Student Guide . Volume 140054GC10Production 1.0June 20 01D 329 4516 Creating Database TriggersObjectives 16 -2 Types of Triggers 16-3Guidelines ... 11-19 12 Creating PackagesObjectives 12- 2Overview of Packages 12- 3Components of a Package 12- 4Referencing Package Objects 12- 5Developing a Package 12- 6Creating the Package Specification 12- 8Declaring...

Tài liệu Oracle 9i - SQL - Student Guide - Volume 1 docx

Danh mục: Cơ sở dữ liệu

... Operator 2- 18Rules of Precedence 2- 19ORDER BY Clause 2- 22 Sorting in Descending Order 2- 23Sorting by Column Alias 2- 24Sorting by Multiple Columns 2- 25Summary 2- 26Practice 2 Overview 2- 27vEXTRACT ... BETWEEN Condition 2- 10Using the IN Condition 2- 11Using the LIKE Condition 2- 12 Using the NULL Conditions 2- 14Logical Conditions 2- 15Using the AND Operator 2- 16Using the OR Operator 2- 17Using the ... Group Results 5 -21 Excluding Group Results: The HAVING Clause 5 -22 Using the HAVING Clause 5 -23 Nesting Group Functions 5 -25 Summary 5 -26 Practice 5 Overview 5 -27 ixviiUsing the TO_ CHAR Function...

introduction to stochastic differential equations v1.2 (berkeley lecture notes) - l. evans

Danh mục: Toán học

... independence=∞k=0e−λ 2 2(sk(t)−sk(s)) 2 since Akis N(0, 1)= e−λ 2 2∞k=0(sk(t)−sk(s)) 2 = e−λ 2 2∞k=0s 2 k(t)−2sk(t)sk(s)+s 2 k(s)= e−λ 2 2(t−2s+s)by Lemma 4= e−λ 2 2(t−s).By ... dx.15Example 2. Again take X(·)=W (·), u(x, t)=eλx−λ 2 t 2 , F ≡ 0, G ≡ 1. ThendeλW (t)−λ 2 t 2 =−λ 2 2eλW (t)−λ 2 t 2 +λ 2 2eλW (t)−λ 2 t 2 dt + λeλW (t)−λ 2 t 2 dWby Itˆo’s ... e−2btE(X 2 0) +2 e−btE(X0)Et0e−b(t−s)dW+ σ 2 t0e−2b(t−s)ds= e−2btE(X 2 0)+σ 2 2b(1 −e−2bt).Thus the varianceV (X(t)) = E(X 2 (t)) −E(X(t)) 2 is given byV (X(t)) = e−2btV (X0)+σ 2 2b(1 −e−2bt),assuming,...

introduction to stochastic differential equations 1.2 - evans l c

Danh mục: Kế hoạch kinh doanh

... N(m1,σ 2 1),Y is N(m 2 ,σ 2 2), thenX + Y is N(m1+ m 2 ,σ 2 1+ σ 2 2). To see this, just calculateφX+Y(λ)=φX(λ)φY(λ)=e−im1λ−λ 2 σ 2 1 2 e−im 2 λ−λ 2 σ 2 2 2 = e−i(m1+m 2 )λ−λ 2 2(σ 2 1+σ 2 2). 22 Remark. ... independence=∞k=0e−λ 2 2(sk(t)−sk(s)) 2 since Akis N(0, 1)= e−λ 2 2∞k=0(sk(t)−sk(s)) 2 = e−λ 2 2∞k=0s 2 k(t)−2sk(t)sk(s)+s 2 k(s)= e−λ 2 2(t−2s+s)by Lemma 4= e−λ 2 2(t−s).By ... V.55Example 2. Again take X(·)=W (·), u(x, t)=eλx−λ 2 t 2 , F ≡ 0, G ≡ 1. ThendeλW (t)−λ 2 t 2 =−λ 2 2eλW (t)−λ 2 t 2 +λ 2 2eλW (t)−λ 2 t 2 dt + λeλW (t)−λ 2 t 2 dWby Itˆo’s...

INTRODUCTION TO URBAN WATER DISTRIBUTION - CHAPTER 2 docx

Danh mục: Cao đẳng - Đại học

... hourlydemands.00.00–0 .24 0 .25 –0.490.50–0.740.75–0.991.00–1 .24 1 .25 –1.491.50–1.741.75–1.99 2. 00 2. 24 2. 25 2. 49500 1000 1500Hours per year 20 00 25 00Hourly peak factorsFigure 2. 32. Frequencydistribution ... G H86 ,25 1 p1(%)3 723 10040 026 A1 25 0 ha c1(%) 100 100 100 0 100 0 0 4074 ,26 1 p 2 (%) 20 5 28 11 12 0 5 19A 2 ϭ185 ha c 2 (%) 100 100 95 100 100 0 100 8018,5 42 p3(%)1018300 420 27A3ϭ57 ... 123 4567891011 12 m3761 717 674 499 616 936 1343 13 72 1547 1736 1838 18 82 pfh0. 620 0.584 0.549 0.407 0.5 02 0.763 1.095 1.118 1 .26 1 1.415 1.498 1.534Hour 13 14 15 16 17 18 19 20 21 22 23 24 m31372...

The Oxford Introduction to Proto-Indo-European Part 2 pps

Danh mục: Anh ngữ phổ thông

... ste¯t, OIr ta¯‘is’, OCS stoitu˘] (2) w-derivative(no apparent change inmeaning)*steh 2 -w- ‘stand’[cf. Lith sto´via ‘stands’, Goth sto¯jan to stand’, Grkstoa¯´‘marketplace’ (< ... -o´-*-sth 2 -o´- ‘standing’[cf. Skt pra-stha- ‘stable, Wrm, solid’, OIr ross‘promontory’] (2) -to ´-*sth 2 -to ´- ‘standing, placed’[cf. Skt sthita´- standing’, Lat status ‘placed’, Grkstato´s ... groups. This proto-language may not have undergone a simple splitinto Proto-Baltic and Proto-Slavic. Another possibility often put forward isthat Balto-Slavic became divided into three subgroups:...

introduction to lean manufacturing vietnamese PHẦN 2 ppt

Danh mục: Tiếp thị - Bán hàng

... manufacturing. 22 Steven Spear and H. Kent Bowen: Decoding the DNA of the Toyota Production System (Giải Mã Gien Hệ Thống Sản Xuất Toyota). Ấn bản Harvard Business Review, tháng 9-10 1999. 23 http://www.advancedmanufacturing.com/September00/informationtech.htm ... năm 20 00 21 để có thể tham khảo danh sách các vấn đề cần được bao gồm trong kế hoạch triển khai. 20 http://www.industryweek.com/CurrentArticles/asp/articles.asp?ArticleID=1589 21 ... Thiệu về Lean Manufacturing Trang 19 trên 20 5. Kết Hợp Lean với Các Hệ Thống Khác 5.1 Hệ Thống Sản Xuất Toyota Mặc dù bắt nguồn từ Hệ thống Sản xuất Toyota (TPS), Lean Manufacturing đã được...

Oracle9i Installation Guide phần 2 docx

Danh mục: Cơ sở dữ liệu

... PHCO _23 7 92, PHCO_ 24 148, PHKL _24 268, PHKL _24 729 , PHKL_ 25 475, PHKL _25 525 , PHNE _24 715, PHSS _23 670, PHSS _24 301,PHSS _24 303, PHSS _24 627 , PHSS _22 868 For patch bundles:http://www.software.hp.com/SUPPORT_PLUSFor ... (IY 228 54), IY26778, IY28766, IY28949, IY29965, IY30150http://techsupport.services.ibm.com/server/fixesHP-UX 11.0 (64- bit)Sept. 20 01 Quality Pack, PHCO _23 7 92, PHCO_ 24 148, PHKL _24 268, ... 5 12 MB of RAM is required to install Oracle9i Server.A minimum of 5 12 MB of RAM is required to install Oracle9i Management and Infrastructure.A minimum of 25 6 MB is required to install Oracle9i...

A Programmer’s Introduction to PHP 4.0 phần 2 ppsx

Danh mục: Kỹ thuật lập trình

... include:3e85.9736e24Chapter 2 32 Gilmore_ 02 12/ 4/00 1:04 PM Page 32 placed between the two operands, which is not always the case in other program-ming languages.The precedence and associativity of operators ... front of the variable to be cast. A typecan be cast by inserting one of the casts in front of the variable (see Table 2- 2).Table 2- 2. Cast Operators for VariablesCAST OPERATORS CONVERSION(int) ... >= NA Less than, less than or equal to, greater than,greater than or equal to == != === <> NA Is equal to, is not equal to, identical to, is notequal to & ^ | L Bitwise AND, bitwise...

MIT.Press.Introduction.to.Autonomous.Mobile.Robots part 2 pptx

Danh mục: Kĩ thuật Viễn thông

... gallopingfree flyN 2 k1–()!=k 2= NN 2 k1–()!3! 321 ⋅⋅ 6====Locomotion 23 Figure 2. 9The Raibert hopper [28 , 124 ]. Image courtesy of the LegLab and Marc Raibert. © 1983.Figure 2. 10The 2D single bow ... wheelflow 22 Chapter 2 Figure 2. 9 shows the Raibert hopper [28 , 124 ], one of the most well-known single-legged hopping robots created. This robot makes continuous corrections to body attitudeand to ... P2 from Honda, Japan. © Honda Motor Corporation.Specifications:Maximum speed: 2 km/hAutonomy: 15 minWeight: 21 0 kgHeight: 1. 82 mLeg DOF: 2 x 6Arm DOF: 2 x 7Locomotion 17that implement...

an introduction to credit risk modeling phần 2 docx

Danh mục: Quản trị kinh doanh

... and B -2 0 2 -2 0 2 00.050.10.15 -2 0 2 -2 0 2 Joint Distribution at Horizon 20 03 CRC Press LLCPCA.Infact,theindustryandcountryindiceshaveacleareconomicmeaning,whereastheglobalfactorsarisingfromaPCAareofsynthetictype.AlthoughtheyadmitsomevagueinterpretationasshowninFig-ure1.7,theirmeaningisnotasclearasisthecasefortheindustryandcountry ... LLCagingcreditportfolios.TheirtoolsarebasedonamodificationofMer-ton’sassetvaluemodel,seeChapter3,andincludeatoolforestimatingdefaultprobabilities(CreditMonitorTM)frommarketinformationandatoolformanagingcreditportfolios(PortfolioManagerTM).Thefirsttool’smainoutputistheExpectedDefaultFrequencyTM(EDF),whichcannowadaysalsobeobtainedonlinebymeansofanewlydevelopedweb-basedKMV-toolcalledCreditEdgeTM.ThemainoutputofthePortfolioManagerTMisthelossdistributionofacreditportfolio.Ofcourse,bothproductshavemanymoreinterestingfeatures,andtousitseemsthatmostlargebanksandinsuranceuseatleastoneofthemajorKMVproducts.AreferencetothebasicsoftheKMV-ModelisthesurveypaperbyCrosbie[19].CreditMetricsTMisatrademarkoftheRiskMetricsTMGroup,acom-panywhichisaspin-offoftheformerJPMorganbank,whichnowbelongstotheChaseGroup.ThemainproductarisingfromtheCreditMetricsTMframeworkisatoolcalledCreditManagerTM,whichin-corporatesasimilarfunctionalityasKMV’sPortfolioManagerTM.Itiscertainlytruethatthetechnicaldocumentation[54]ofCreditMetricsTMwaskindofapioneeringworkandhasinfluencedmanybank-internaldevelopmentsofcreditriskmodels.Thegreatsuccessofthemodelun-derlyingCreditMetricsTMisinpartduetothephilosophyofitsauthorsGupton,Finger,andBhatiatomakecreditriskmethodologyavailabletoabroadaudienceinafullytransparentmanner.Bothcompaniescontinuetocontributetothemarketofcreditriskmodelsandtools.Forexample,theRiskMetricsTMGrouprecentlyde-velopedatoolforthevaluationofCollateralizedDebtObligations,andKMVrecentlyintroducedanewreleaseoftheirPortfolioManagerTMPM2.0,herebypresentingsomesignificantchangesandimprovements.Returningtothesubjectofthissection,wenowdiscussthefac-tormodelsusedinKMV’sPortfolioManagerTMandCreditMetricsTMCreditManagerTM.Bothmodelsincorporatetheideathateveryfirmadmitsaprocessofassetvalues,suchthatdefaultorsurvivalofthefirmdependsonthestateoftheassetvaluesatacertainplanninghorizon.Iftheprocesshasfallenbelowacertaincriticalthreshold,calledthedefaultpointofthefirminKMVterminology,thenthecompanyhasdefaulted.Iftheassetvalueprocessisabovethecriticalthreshold,thefirmsurvives.AssetvaluemodelshavetheirrootsinMerton’sseminalpaper[86]andwillbeexplainedindetailinChapter3andalsotosomeextentinSection2.4.1. 20 03 ... },pi=P[Li≥1], (2. 11)wherepiagaindenotesthedefaultprobabilityofobligori.Notethat (2. 11)allowsformultipledefaultsofasingleobligor.ThelikelihoodoftheeventthatobligoridefaultsmorethanonceisgivenbyP[Li 2] =1−e−λi(1+λi),whichistypicallyasmallnumber.Forexample,inthecaseofλi=0.01wewouldobtainP[Li 2] =0.5basispoints.Inotherwords,whensimulatingaPoisson-distributeddefaultvariablewithλi=0.01wecanexpectthatonly1outof20,000scenariosisnotapplicablebecauseofamultipledefault.Ontheotherside,forobligorswithgoodcreditquality(forexample,aAAA-borrowerwithadefaultprobabilityof2basispoints),amultiple-defaultprobabilityof0.5basispointsisarelativelyhighnumber.Theintensityλiistypicallyquiteclosetothedefaultprobabilitypi,duetopi=P[Li≥1]=1−e−λi≈λi (2. 12) forsmallvaluesofλi.Equation (2. 12) showsthattheone-yeardefaultprobabilityequalstheprobabilitythatanexponentialwaitingtimewithintensityλitakesplaceinthefirstyear.Ingeneral,thesumofindependentvariablesL1∼Pois(λ1),L 2 ∼Pois(λ 2 )hasdistribution7Pois(λ1+λ 2 ).Assumingindependence,theportfolio’stotalnumberoflosseswouldbegivenbyL=mi=1Li∼Poismi=1λi. (2. 13)Correlationisintroducedintothemodelbyagainfollowingamixtureapproach,imthiscasewithPoissonvariables(seealsoJoe[67],Section7 .2. 7More...