Bundle: Database Systems: Design, Implementation, & Management, Loose-leaf Version, 12th + Lms Integrated For Mindtap Computing, 1 Term (6 Months) Printed Access Card
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ISBN: 9781337129992
Author: Coronel
Publisher: CENGAGE L
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Chapter 5, Problem 16RQ
Explanation of Solution
Design trap:
- One of the most common design traps is “fan trap” when the user contains one entity in two one-to-many relationship to another entities that time fan trap is occurred.
- Thus producing an association among other entities that is not expressed in the model.
- When the relationship is identified as incorrect or improper model at that time design trap is occurred.
- So, the design trap is represented in a way that is not consistent with the real world.
Example:
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I need help in construct a matlab code to find the voltage, the currents, and the watts based on that circuit.
Objective
Implement Bottom-Up Iterative MergeSort and analyze its efficiency compared to
recursive MergeSort. Unlike the recursive approach, which involves multiple function
calls and stack overhead, the bottom-up version sorts iteratively by merging small
subarrays first, reducing recursion depth and improving performance.
Task
1. Implement Bottom-Up Iterative MergeSort
о Start with single-element subarrays and iteratively merge them into larger
sorted sections.
Use a loop-based merging process instead of recursion.
○ Implement an efficient in-place merging strategy if possible.
2. Performance Analysis
Compare execution time with recursive MergeSort on random, nearly
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○ Measure and plot time complexity vs. input size.
O
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Explain why the iterative version reduces function call overhead and when
it performs better.
•
Code implementation with comments.
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A short report (1-2 pages) comparing performance.
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Graph of execution time vs. input size for…
Given a shared data set, we allow multiple readers to read at the same time, and only one single writer can access the shared data at the same time. In the lecture slides, a solution is given. However, the problem is that the write cannot write forever, if there are always at least one reader.
How to ensure that the writer can eventually write? Propose your solution by using semaphores and implemented in Python
from threading import Thread, Semaphore
from time import sleep
from sys import stdout
class Reader(Thread):
def__init__(self, name):
self.n=name; Thread.__init__(self)
defrun(self):
globalnr, nw, dr, dw
whileTrue:
# ⟨await nw == 0 then nr += 1⟩
e.acquire()
ifnw>0:
#if nw > 0 or dw > 0 :
dr+=1; e.release(); r.acquire()
nr+=1
ifdr>0: dr-=1; r.release()
else: e.release()
# read data
stdout.write(self.n+' reading\n')
sleep(1)
# ⟨nr -= 1⟩
e.acquire()
nr-=1
ifnr==0anddw>0:
dw-=1 ; w.release()
else: e.release()
class Writer(Thread):
def__init__(self, name):…
Chapter 5 Solutions
Bundle: Database Systems: Design, Implementation, & Management, Loose-leaf Version, 12th + Lms Integrated For Mindtap Computing, 1 Term (6 Months) Printed Access Card
Ch. 5 - Prob. 1RQCh. 5 - What kinds of data would you store in an entity...Ch. 5 - Prob. 3RQCh. 5 - What is a subtype discriminator? Give an example...Ch. 5 - Prob. 5RQCh. 5 - What is the difference between partial...Ch. 5 - Prob. 7RQCh. 5 - According to the data model, is it required that...Ch. 5 - Prob. 9RQCh. 5 - Prob. 10RQ
Ch. 5 - Prob. 11RQCh. 5 - Prob. 12RQCh. 5 - Prob. 13RQCh. 5 - When implementing a 1:1 relationship, where should...Ch. 5 - What is time-variant data, and how would you deal...Ch. 5 - Prob. 16RQCh. 5 - Prob. 1PCh. 5 - Prob. 2PCh. 5 - Prob. 3PCh. 5 - Prob. 4PCh. 5 - Prob. 5PCh. 5 - Prob. 6PCh. 5 - Prob. 7PCh. 5 - Prob. 8CCh. 5 - Prob. 9CCh. 5 - Prob. 10C
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