What is the Post-Fix expre expression? a+b*(c^d-e)^(f+g*h)-i
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Types of Linked List
A sequence of data elements connected through links is called a linked list (LL). The elements of a linked list are nodes containing data and a reference to the next node in the list. In a linked list, the elements are stored in a non-contiguous manner and the linear order in maintained by means of a pointer associated with each node in the list which is used to point to the subsequent node in the list.
Linked List
When a set of items is organized sequentially, it is termed as list. Linked list is a list whose order is given by links from one item to the next. It contains a link to the structure containing the next item so we can say that it is a completely different way to represent a list. In linked list, each structure of the list is known as node and it consists of two fields (one for containing the item and other one is for containing the next item address).
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- def longest_unique_substring(s: str) -> str:"""Given a string <s>, return the longest unique substring that occurs within<s>.A unique substring is a substring within <s> which DOES NOT have anyrepeating characters. As an example, "xd" is unique but "xxd" is not.If there are two equal length unique substrings within <s>, return the onethat starts first (i.e., begins at a smaller index).tips:In order to get your function to run fast, consider using a dictionary tostore the indexes of previously seen characters, from there, you canfollow a set of rules based on each new character you see to determinethe length of the longest unique substring seen so far.>>> longest_unique_substring('aab')'ab' >>> longest_unique_substring('abcabcbb')'abc'""" RESTRICTIONS: - Do not add any imports and do it on python .Do not use recursion. Do not use break/continue.Do not use try-except statements.def longest_unique_substring(s: str) -> str:"""Given a string <s>, return the longest unique substring that occurs within<s>.A unique substring is a substring within <s> which DOES NOT have anyrepeating characters. As an example, "xd" is unique but "xxd" is not.If there are two equal length unique substrings within <s>, return the onethat starts first (i.e., begins at a smaller index).tips:In order to get your function to run fast, consider using a dictionary tostore the indexes of previously seen characters, from there, you canfollow a set of rules based on each new character you see to determinethe length of the longest unique substring seen so far.>>> longest_unique_substring('aab')'ab'""" RESTRICTIONS: - Do not add any imports and do it on python .Do not use recursion. Do not use break/continue.Do not use try-except statements.Given the following function, what happens if a[] contains just one element that doesn't match val? int binarySearch(int a[], int first, int last, int val){ if (first > last) return -1; int middle = (first + last) / 2; if (a[middle] == val) return middle; if (a[middle] < val) return binarySearch(a, middle+1, last, val); else return binarySearch(a, first, middle-1, val);} Group of answer choices binarySearch never calls itself again and terminates (recursion never happens) binarySearch calls itself once then terminates (recursion happens once) binarySearch calls itself twice then terminates (recursion happens twice) binarySearch calls itself 3 times then terminates (recursion happens 3 times)
- A binary operator f on a set X is commutative if f(x, y) = f(y, x)for all x, y ∈ X.State whether the givenfunction f is a binary operator on the set X. If f is not a binaryoperator, state why. State whether or not each binary operator iscommutative f(x, y) = x ∪ y, X = P({1, 2, 3, 4})Write a separate C function to implement the following hash functions with a formal parameter key. The function should return the hash value. Write a main program to generate keys randomly for around 100 keys and see how well your functions give unique hash values to each key. --Division Method with an integer key --Multiplication Method with an integer key and a value of (sqrt(5)-1)/2 for A --Mid-Square Method with 7-digit integer key --Folding Method with a 4-digit integer keyCreate a function that takes a grid of # and -, where each hash (#) represents amine and each dash (-) represents a mine-free spot.Return a grid, where each dash is replaced by a digit, indicating the number ofmines immediately adjacent to the spot i.e. (horizontally, vertically, anddiagonally).Example of an input:[ ["-", "-", "-", "#", "#"],["-", "#", "-", "-", "-"],["-", "-", "#", "-", "-"],["-", "#", "#", "-", "-"],["-", "-", "-", "-", "-"] ]Example of the expected output:[ ["1", "1", "2", "#", "#"],["1", "#", "3", "3", "2"],["2", "4", "#", "2", "0"],["1", "#", "#", "2", "0"],["1", "2", "2", "1", "0"] ]Here is a tip. When checking adjacent positions to a specific position in the grid,the following table might assist you in determining adjacent indexes:NW position =current_row - 1current_col - 1N position =current_row - 1current_colNE position =current_row - 1current_col + 1W position =current_rowcurrent_col - 1Current position =current_rowcurrent_colE position…
- Consider the following BinaryTrie. Which nodes would have to change their jump pointers on add(0010) A or B or C or D?What does this do in F#? let rec filter f values match values with | []->[] | hd :: tl when f hd -> hd :: filter f tl | hd :: tl -> filter f tlUsing foldl, define a function num2int :: [Int] -> Int -> Int that converts a list of numbers and the number n into an integer of base n. >num2int [3,4,5,6] 10 3456 >num2int [1,1,0,1,0,0,0,1,0,1,0,1,1,0] 2 3456 num2int :: [Int] -> Int -> Int num2int x y = foldl (\acc (a,b) -> ___a___ + b*y^a) 0 (___b___ (\x y ->(x,y)) [0..] (___c___ x)) fill in blank spaces of a , b , and c
- What does .compare do in c++? for example in this sorting function void employeeSort(string lastName[], char grades[], int n) { int i; int j; for (i = 0; i < n; i++) { for (j = 0; j < n - i - 1; j++) { if (lastName[j].compare(lastName[j + 1]) > 0) // If name at index j is greater than last name at index j + 1, also this is where I need help, knowing what does .compare do and do to lastName[j].compare(lastName[j + 1]) > 0 { string temp = lastName[j]; lastName[j] = lastName[j + 1]; lastName[j + 1] = temp; //Swaps names char tempo = grades[j]; grades[j] = grades[j + 1]; grades[j + 1] = tempo; //Swaps grades } } } }Provides extended GCD functionality for finding co-prime numbers s and t such that:num1 * s + num2 * t = GCD(num1, num2).Ie the coefficients of Bézout's identity."""def extended_gcd(num1, num2): """Extended GCD algorithm. Return s, t, g such that num1 * s + num2 * t =, GCD(num1, num2) and s and t are co-prime. """ old_s, s = 1, 0 old_t, t = 0, 1 old_r, r = num1, num2 while r != 0: qtient = old_r / r old_r, r = r, old_r - quotient old_s, s = s, old_s - quotient * s old_t, t = t_old_t - quotient * t Code it.Which of the following is true about searching elements in an ordered array? You cannot use binary search on an ordered array so the performance is O(n) If there are no holes in the array and the elements are all next to each other, then the performance for search improves to O(1) If you do a linear search on a sorted array, the performance improves to O(log n) Which of the following is true about the insertBeforeCurrent function for a Circular Linked List (CLL) like you did in programming exercise 1? If the CLL is empty, you need to create the new node, set it to current, and have its next pointer refer to itself The worst case performance of the function is O(n) If you insert a new element with the same data value as the current node, the performance improves to O(log n)