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Keehn,D and Lacy,J74 : Vsam Data Set Design Parameters ; IBM Sys J, vol3, 1974, pp186 202 Kelton, W David85 : Transient Exponential-Erlang Queues and Steady-State Simulation ; CACM, vol28 no7, Jul1985, pp741 749 Kent,William78 : Data and Reality, Basic Assumptions in Data Processing Reconsidered; North-Holland, 1978 Kerr, Douglas S(ed)75 : Proc of the Internat Conf on Large Databases; ACM, 1975 Kerschberg,Larry(ed)86 : Expert Database Systems; Benjamin-Cummings, Jan1986 Kim,Michelle Y86 : Synchronized Disk Interleaving ; IEEE TC, Vol C-35 no11, Nov1986 King,JL and Schrems,EL78 : Cost-Bene t Analysis in Information Systems Development and Operation ; ACM C Surveys, vol10 no1, Mar1978, pp19 24 King,JM81 : Evaluating Data Base Management Systems; VanNostrand-Reinhold, NY, 1981, 275 pp King,WFIII(ed)75 : Internat Conf on Management of Data; ACM-SIGMOD 75, ACM 1975 King,WFIII80 : Relational Database Systems, Where Do We Stand Today ; Information Processing 80, Proc 1980 IFIP Congress, North-Holland 1980 Kitsuregawa,M and Mikio,T87 : Functional Disk System for Relational Database ; IEEE CS DE 3, Feb1987 Kiviat,PJ,Villanueva,R,and Markowitz,HM69 : The Simscript II Programming Language; Prentice Hall, 1969 Kleinrock, Leonard75 : Queuing Systems, vol1: Theory; Wiley 1975, 417 pp Knight,KE68 : Evolving Computer Performance ; Datamation, Jan1968, pp31 35 Knott, Gary D75 : Hashing Functions and Hash Table Storage and Retrieval ; Comp J, vol18 no3, 1975, pp265 278 Knuth,Donald E69 : The Art of Computer Programming, vol2: Seminumerical Algorithms; Addison-Wesley, 1969, 634 pp Knuth,Donald E73F : The Art of Computer Programming, vol1 - Fundamental Algorithms; Addison-Wesley, 2nd ed, 1973, 634 pp Knuth,Donald E73S : The Art of Computer Programming, vol3 - Sorting and Searching; Addison Wesley, 1973, 722 pp Knuth,DE79 : TEX and metafont, New Directions in Typesetting; Digital Press, 1979 Kobayashi,H78 : Modeling and Analysis: An Introduction to Performance Evaluation Methodology; Addison-Wesley, 1978, 446 pp Kochen,Manfred (ed)67 : The Growth of Knowledge; Wiley, 1967 Kollias,JG, Stocker,PM, and Dearnley,PA77 : Improving the Performance of an Intelligent Data Management System ; Comp J, vol20, 1977, pp302 307 Kollias,JG and Hatzopoulos,M83 : Some Additional Models and Studies of the File Assignment Problem ; ACM C Surveys, vol15 no1, Mar1983, pp81 82 Konheim,AG, Mack,MH, McNeill,RK, Tuckerman,B, and Waldbaum,G80 : The ips Cryptographic Programs ; IBM SysJ, vol19 no2, 1980, pp253 283 Korth,H and Silberschatz,A86 : Database System Concepts; McGrawHill, 1986 Kral, J71 : Some Properties of the Scatter Storage Technique with Linear Probing ; Comp J, vol14 no2, May 1971, pp145 149 Kriegel,H-P and Seeger,B87 : Multidimensional Dynamic Quantile Hashing is Very E cient for Non-Uniform Record Distributions ; IEEE CS DE 3, LA, Feb1987 Krinos,JD73 : Interaction Statistics from a Data Base Management System ; Proc 1973 NCC, AFIPS vol42, 1973, pp283 290 Kroenke,David M78 : DATABASE: A Professional s Primer; Science Res Associates, 1978, 323 pp.

Entity integrity means that each table must have a column or combination of columns with unique values Unique means that no two rows of a table have the same value For exam ple, StdSSN in Student is unique and the combination of StdSSN and OfferNo is unique in Enrollment Entity integrity ensures that entities (people, things, and events) are uniquely identified in a database For auditing, security, and communication reasons, it is important that business entities be easily traceable Referential integrity means that the column values in one table must match column values in a related table For example, the value of StdSSN in each row of the Enrollment table must match the value of StdSSN in some row of the Student table Referential integrity ensures that a database contains valid connections For example, it is critical that each row of the Enrollment table contains a Social Security number of a valid student Otherwise, some enrollments can be meaningless, possibly resulting in students denied enrollment because nonexisting students took their places For more precise definitions of entity integrity and referential integrity, some other defini tions are necessary These prerequisite definitions and the more precise definitions follow Definitions Superkey: a column or combination of columns containing unique values for each row The combination of every column in a table is always a superkey because rows in a table must be unique

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The pointer-to-function adaptors are shown here: template <class Argument, class Result> pointer_to_unary_function<Argument, Result> ptr_fun(Result (*func)(Argument)); template <class Argument1, class Argument2, class Result> pointer_to_binary_function<Argument1, Argument2, Result> ptr_fun(Result (*func)(Argument1, Argument2)); Here, ptr_fun( ) returns either an object of type pointer_to_unary_function or pointer_to_binary_function These classes are shown here:

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