Any computing issue that falls within the category of NP-complete problem has yet to find an effective solution algorithm.
<h3>Which problems are NP-complete?</h3>
- Any of a family of computer problems that have no effective solution algorithm are referred to as NP-complete issues.
- The traveling salesman problem, satisfiability issues, and graph-covering issues are only a few examples of the significant computer science issues that fall under this category.
- The difficulty of NP and NP-Complete issues is equal. If a problem is included in both NP and NP-Hard Problems, it is said to be NP-Complete.
- This statement, "This problem can change into an NP-complete problem on a non-deterministic Turing machine," is untrue for the obvious reason that while any problem in P is also a problem in NP, no problem in P is an NP-complete problem (unless P=NP, of course). If P is an NP problem and all NP problems convert into NP-complete problems, then P must also undergo this transformation.
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Answer:
books = []
fp = open("bookTitles.txt")
for line in fp.readlines():
title = line.strip()
if title not in books:
books.append(title)
fp.close()
fout = open("noDuplicates.txt", "w")
for title in books:
print(tile, file=fout)
fout.close()
except FileNotFoundError:
print("Unable to open bookTitles.txt")
Answer is your company’s address
Answer:
Ammeter
Explanation:
Instrument for measuring either direct or alternating electric current, in amperes. Ammeters vary in their operating principles and accuracies
