solution should have O(l1.length + l2.length) time complexity, since this is what you will be asked to accomplish in an interview. Given two singly linked lists sorted in non-decreasing order, your task is to merge them. In other words, return a singly linked list, also sorted in non-decreasing order, that contains the elements from both original lists.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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solution should have O(l1.length + l2.length) time complexity, since this is what you will be asked to accomplish in an interview.

Given two singly linked lists sorted in non-decreasing order, your task is to merge them. In other words, return a singly linked list, also sorted in non-decreasing order, that contains the elements from both original lists.

[execution time limit] 4 seconds (py)
[input] linkedlist.integer 11
A singly linked list of integers.
Guaranteed constraints:
0 < list size < 104
-10° < element value < 10° .
[input] linkedlist.integer 12
A singly linked list of integers.
Guaranteed constraints:
0 < list size < 10ª ,
|-10° < element value < 10°
[output] linkedlist.integer
A list that contains elements from both 11 and 12, sorted in non-decreasing order.
[Python 2] Syntax Tips
Transcribed Image Text:[execution time limit] 4 seconds (py) [input] linkedlist.integer 11 A singly linked list of integers. Guaranteed constraints: 0 < list size < 104 -10° < element value < 10° . [input] linkedlist.integer 12 A singly linked list of integers. Guaranteed constraints: 0 < list size < 10ª , |-10° < element value < 10° [output] linkedlist.integer A list that contains elements from both 11 and 12, sorted in non-decreasing order. [Python 2] Syntax Tips
TESTS
CUSTOM TESTS
O RUN TESTS
O Codewriting
F 3000
Note: Your solution should have o(11.Jength + 12.Jength) time complexity, since this is what you will be asked to accomplish in an interview.
Test 1
Given two singly linked lists sorted in non-decreasing order, your task is to merge them. In other words, return a singly linked list, also sorted in non-decreasing
Input:
order, that contains the elements from both original lists.
11: [1, 2,
12: [4, 5, 6]
Example
Expected Output:
[1, 2, 3, 4, 5, 6]
• For 11 = [1, 2, 3] and 12 = [4, 5, 6] , the output should be
Click the "Run Tests" button to see output and
console logs.
solution(11, 12) = [1, 2, 3, 4, 5, 6] ;
• For 11 = [1, 1, 2, 4] and 12 = [0, 3, 5] , the output should be
Test 2
solution(11, 12) = [0, 1, 1, 2, 3, 4, 5].
Test 3
Input/Output
Test 4
• [execution time limit] 4 seconds (py)
Test 5
[input] linkedlist.integer I1
Test 6
A singly linked list of integers.
Test 7
Guaranteed constraints:
Test 8
0 < list size < 104
Test 9
-109 < element value < 109
Test 10
• [input] linkedlist.integer 12
Test 11.
Transcribed Image Text:TESTS CUSTOM TESTS O RUN TESTS O Codewriting F 3000 Note: Your solution should have o(11.Jength + 12.Jength) time complexity, since this is what you will be asked to accomplish in an interview. Test 1 Given two singly linked lists sorted in non-decreasing order, your task is to merge them. In other words, return a singly linked list, also sorted in non-decreasing Input: order, that contains the elements from both original lists. 11: [1, 2, 12: [4, 5, 6] Example Expected Output: [1, 2, 3, 4, 5, 6] • For 11 = [1, 2, 3] and 12 = [4, 5, 6] , the output should be Click the "Run Tests" button to see output and console logs. solution(11, 12) = [1, 2, 3, 4, 5, 6] ; • For 11 = [1, 1, 2, 4] and 12 = [0, 3, 5] , the output should be Test 2 solution(11, 12) = [0, 1, 1, 2, 3, 4, 5]. Test 3 Input/Output Test 4 • [execution time limit] 4 seconds (py) Test 5 [input] linkedlist.integer I1 Test 6 A singly linked list of integers. Test 7 Guaranteed constraints: Test 8 0 < list size < 104 Test 9 -109 < element value < 109 Test 10 • [input] linkedlist.integer 12 Test 11.
Expert Solution
Step 1

let us see the answer:-

Introduction:-

  • The concept is comparable to array merging.
  • However, the new head of the returning list must be addressed first.
  • Keep two trackers, one for each list, compare and choose the smaller one, and advance the smaller one's tracker.
  • When one list has been exhausted, add the other list to it, and we're done.
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