Concepts Of Programming Languages
12th Edition
ISBN: 9780134997186
Author: Sebesta, Robert W.
Publisher: Pearson,
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Chapter 2, Problem 6PS
Explanation of Solution
Most common syntax error in LISP programs:
- First, closely analyze the structure of a LISP
program .- The main data structure is a list and the elements in a list are specified by delimiting with the parenthesis.
- For example, a simple list with four atoms as its elements is written as given below:
(A B C D)
- Nested list structures with four eleme...
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Students have asked these similar questions
Design a dynamic programming algorithm for the Longest Alternating Subsequence problem
described below:
Input: A sequence of n integers
Output: The length of the longest subsequence where the numbers alternate between being larger and
smaller than their predecessor
The algorithm must take O(n²) time. You must also write and explain the recurrence.
Example 1:
Input: [3, 5, 4, 1, 3, 6, 5, 7, 3, 4]
Output: 8 ([3, 5, 4, 6, 5, 7, 3, 4])
Example 2:
Input: [4,7,2,5,8, 3, 8, 0, 4, 7, 8]
Output: 8 ([4, 7, 2, 5, 3, 8, 0,4])
(Take your time with this for the subproblem for this one)
Design a dynamic programming algorithm for the Coin-change problem described below:
Input: An amount of money C and a set of n possible coin values with an unlimited supply of each
kind of coin.
Output: The smallest number of coins that add up to C exactly, or output that no such set exists.
The algorithm must take O(n C) time. You must also write and explain the recurrence.
Example 1:
Input: C24, Coin values = = [1, 5, 10, 25, 50]
Output: 6 (since 24 = 10+ 10+1+1 +1 + 1)
Example 2:
Input: C = 86, Coin values = [1, 5, 6, 23, 35, 46, 50]
Output: 2 (since 86 = 46+35+5)
Design a dynamic programming algorithm for the Longest Common Subsequence problem de-
scribed below
Input: Two strings x = x1x2 xm and y = Y1Y2... Yn
Output: The length of the longest subsequence that is common to both x and y.
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The algorithm must take O(m n) time. You must also write and explain the recurrence.
(I want the largest k such that there are 1 ≤ i₁ < ... < ik ≤ m and 1 ≤ j₁ < ... < jk ≤ n such that
Xi₁ Xi2 Xik = Yj1Yj2 ··· Yjk)
Example 1:
Input: x = 'abcdefghijklmnopqrst' and y = 'ygrhnodsh ftw'
Output: 6 ('ghnost' is the longest common subsequence to both strings)
Example 2:
Input: x = 'ahshku' and y = ‘asu'
Output: 3 ('asu' is the longest common subsequence to both strings)
Chapter 2 Solutions
Concepts Of Programming Languages
Ch. 2 - In what year was Plankalkl designed? In what year...Ch. 2 - What two common data structures were included in...Ch. 2 - How were the pseudocodes of the early 1950s...Ch. 2 - Speedcoding was invented to overcome two...Ch. 2 - Prob. 5RQCh. 2 - Prob. 6RQCh. 2 - Prob. 7RQCh. 2 - Prob. 8RQCh. 2 - Prob. 9RQCh. 2 - Prob. 10RQ
Ch. 2 - Prob. 11RQCh. 2 - Prob. 12RQCh. 2 - Prob. 13RQCh. 2 - Prob. 14RQCh. 2 - Prob. 15RQCh. 2 - Prob. 16RQCh. 2 - Prob. 17RQCh. 2 - Prob. 18RQCh. 2 - Prob. 19RQCh. 2 - Prob. 20RQCh. 2 - Prob. 21RQCh. 2 - On what programming language was COBOL based?Ch. 2 - In what year did the COBOL design process begin?Ch. 2 - What data structure that appeared in COBOL...Ch. 2 - What organization was most responsible for the...Ch. 2 - Prob. 26RQCh. 2 - Prob. 27RQCh. 2 - Prob. 28RQCh. 2 - Prob. 29RQCh. 2 - Prob. 30RQCh. 2 - Prob. 31RQCh. 2 - Prob. 32RQCh. 2 - Prob. 33RQCh. 2 - Prob. 34RQCh. 2 - Prob. 35RQCh. 2 - Prob. 36RQCh. 2 - Prob. 37RQCh. 2 - Prob. 38RQCh. 2 - Prob. 39RQCh. 2 - What Ada construct provides support for abstract...Ch. 2 - What populates the Smalltalk world?Ch. 2 - Prob. 42RQCh. 2 - Prob. 43RQCh. 2 - Prob. 44RQCh. 2 - What do the Ada and COBOL languages have in...Ch. 2 - What was the first application for Java?Ch. 2 - Prob. 47RQCh. 2 - How does the typing system of PHP and JavaScript...Ch. 2 - Prob. 49RQCh. 2 - Prob. 50RQCh. 2 - Prob. 51RQCh. 2 - Prob. 52RQCh. 2 - Prob. 53RQCh. 2 - What data structure does Python use in place of...Ch. 2 - Prob. 55RQCh. 2 - What characteristic of Rubys arithmetic operators...Ch. 2 - Prob. 57RQCh. 2 - Prob. 58RQCh. 2 - Prob. 59RQCh. 2 - Prob. 60RQCh. 2 - Prob. 61RQCh. 2 - Prob. 62RQCh. 2 - Prob. 63RQCh. 2 - Prob. 1PSCh. 2 - Prob. 2PSCh. 2 - Prob. 3PSCh. 2 - Prob. 4PSCh. 2 - Prob. 5PSCh. 2 - Prob. 6PSCh. 2 - Prob. 7PSCh. 2 - Prob. 8PSCh. 2 - Prob. 9PSCh. 2 - Prob. 10PSCh. 2 - Prob. 11PSCh. 2 - Prob. 12PSCh. 2 - Prob. 13PSCh. 2 - Prob. 14PSCh. 2 - Prob. 15PSCh. 2 - Prob. 16PSCh. 2 - Prob. 17PSCh. 2 - Prob. 18PSCh. 2 - Prob. 19PSCh. 2 - Prob. 20PSCh. 2 - Prob. 21PSCh. 2 - Prob. 22PSCh. 2 - Prob. 23PSCh. 2 - Prob. 24PS
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