EBK NEW PERSPECTIVES ON HTML5, CSS3, AN
6th Edition
ISBN: 9781337516358
Author: Carey
Publisher: CENGAGE LEARNING - CONSIGNMENT
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Chapter 12.2, Problem 3QC
Program Plan Intro
To give the reason for attribute node not being the part of document node tree.
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The difference between (1) a database management system (DBMS) and (2) a database, is:
a.
The first refers to a complete accounting system, the second refers to a subset of that
b.
The first is program software, the second is proprietary data and related files
c.
The first is hardware, the second is software
d.
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a) An example of the linear hash index is given below. Every time a new overflow
page is added, the bucket pointed by Next is split, and Next is incremented by one.
Show the index state after adding the keys 39, 25, and 29.
hi
ho
Level=0, N=4
000
00
0*8*
001
01
17*33*
010
10
6*26* 42*
011
11
7* 11* 15* 23*
100
00
4* 12* 20*
101
01
5* 13* 21* 37*
Next
What would be the runtime (big-O asymptotic notation) of Dijkstra’s algorithm if it is implemented based on an unsorted minimum priority queue in terms of vertices (v) and edges (e)? Please show all steps including the runtime of each step of the algorithm.
Chapter 12 Solutions
EBK NEW PERSPECTIVES ON HTML5, CSS3, AN
Ch. 12.2 - Prob. 1QCCh. 12.2 - Prob. 2QCCh. 12.2 - Prob. 3QCCh. 12.2 - Prob. 4QCCh. 12.2 - Prob. 5QCCh. 12.2 - Prob. 6QCCh. 12.3 - Prob. 1QCCh. 12.3 - Prob. 2QCCh. 12 - Prob. 1RACh. 12 - Prob. 2RA
Ch. 12 - Prob. 3RACh. 12 - Prob. 4RACh. 12 - Prob. 5RACh. 12 - Prob. 6RACh. 12 - Prob. 7RACh. 12 - Prob. 8RACh. 12 - Prob. 9RACh. 12 - Prob. 10RACh. 12 - Prob. 11RACh. 12 - Prob. 12RACh. 12 - Prob. 13RACh. 12 - Prob. 1CP1Ch. 12 - Prob. 2CP2Ch. 12 - Prob. 3CP2Ch. 12 - Prob. 4CP2Ch. 12 - Prob. 5CP2Ch. 12 - Prob. 4CP3Ch. 12 - Prob. 20CP3Ch. 12 - Prob. 3CP4Ch. 12 - Prob. 4CP4Ch. 12 - Prob. 5CP4Ch. 12 - Prob. 6CP4Ch. 12 - Prob. 7CP4Ch. 12 - Prob. 8CP4Ch. 12 - Prob. 9CP4Ch. 12 - Prob. 10CP4Ch. 12 - Prob. 11CP4Ch. 12 - Prob. 12CP4Ch. 12 - Prob. 13CP4Ch. 12 - Prob. 14CP4
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- a) An extendable hashing index is given below. Present the state of the index after adding the keys 21, 25, and 29. Directory Buckets 0*8* 12* 20* 00 9* 13*33* 01 10 6*26* 42* 11 7* 11* 15*23* b) Explain the concepts of global depth and local depth of buckets. Which buckets in the index above (after inserting 21, 25 and 29) have a global depth equal to the local depth? c) Describe the bulk loading algorithm for B+ trees. What are the differences to using a simple B+ tree add operation?arrow_forwardb) Below is an example of a B+ tree. Add an element with key 19 and then delete an element with key 1. Present the final result. 1* 3* . 10 18 24 27 37 10*15* - 18 20 22 24*26* 24* 26* - 27* 30*32* 37*40*arrow_forwardBooks (bid, author, title, publisher, year, notes); Members (mid, name, surname, street, city, country, phone, notes); Borrow (rid, bid, mid, date, notes);arrow_forward
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- An example of a linear hash index is given below. Every time a new overflow page is added, the bucket pointed by Next is split and Next is incremented by one. Show the index state after adding the keys 10, 13, and 15. h₁ ho Level=0, N=4 000 00 0*8* 001 01 9* 25* 33* Next 010 10 6* 26* 42* 46* 011 11 7* 11*23* 100 00 4* 12*20* 101 01 5* 29* 37*21*arrow_forwardCustomer (cid, name, surname, city, address, phone); Account (aid, cid, amount, created, comment); Transfer (tid, from_aid, to_aid, cid, amount, date, descr);arrow_forwardCustomer (cid, name, surname, city, address, phone); Account (aid, cid, amount, created, comment); Payment (pid, payer_aid, ref_num, vend_aid, vend_com, amount, date); Transfer (tid, from_aid, to_aid, cid, amount, date, descr);arrow_forward
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