Exercise 8.8.13. Encode A or B or C or D, assuming each is an inclusive OR. Do so using as few constraints as you can.
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- Write a program to maintain a list of items as a circular queue, which isimplemented using an array. Simulate insertions and deletions to the queue anddisplay a graphical representation of the queue after every operation.Write a program to maintain a list of items as a circular queue, which isimplemented using an array. Simulate insertions and deletions to the queue anddisplay a graphical representation of the queue after every operation.Lab Exercise 2Modify example 2 (Example2: Changing Text ) so that only the content of the clicked paragraph is changed. The content of the other paragraphs remain unchanged. Here is the example2 <html> <head> <script type="text/javascript" language="javascript"> function ChangeText() { var x = document.getElementsByTagName("p"); x[0].innerHTML = "SFDV4001"; x[1].innerHTML = "SFDV3004"; } </script> </head> <body> <p onClick= "ChangeText()">NETW4001 <p>NETW3004 </body></html>Q. No. 2: Let Σ = {a, b, c}. a. Draw a DFSA that rejects all words for which the last two letters match. b. Draw a DFSA that rejects all words for which the first two letters match.
- 3. Two 7-digit integers (leading zeros allowed) are considered to be equivalent if one can be obtained from the other by rearranging its digits. For example, 0012234, 0312042, 3220014 and 2100243 are all considered equivalent, whereas 0012234 and 0001234 are not equivalent. How many nonequivalent 7-digit integers are there in which the digits 0, 2, 4 and 6 can each appear at most once?Must be new solution and run on GNU Common Lisp! Using Lisp, write a program that solves the Missionaries and Cannibals problem that uses a DFS( depth first search). It should use (mac start end). Start is the current state (which can be (3 3 l) and End is the goal state (which can be (0 0 r). This should output the sequences of moves needed to reach the end state from the start state. This should print nil if there is no solution. For example, the call should be something like this! Call: (mac '(3 3 l) '(0 0 r)) Output: ((3 3 l) (2 2 r) (3 2 l) (3 0 r) (3 1 l) (1 1 r) (2 2 l) (0 2 r) (0 3 l) (0 1 r) (1 1 l) (0 0 r))Please help me answer the following question.Your post is appropriate and correct, except for one statement which is inconsistent: "The space complexity is O(n), no extra space us needed. " O(n) contradicts no extra space. Please clarify. Class, As interaction contribution, you may try to answer the following question: Q: Indeed, the complexity is Theta(n^2) . However, there is a difference in number of operations. While comparisons are n^2 always (all cases), the number of assignments is different (having cases). Try to discuss the cases from assignments perspective. ------------------------------------------------------------------------------------------------------*** Context: ***In the Selection Sort algorithm, we first find the smallest element and bring it to the array position 0.Next, we bring the second smallest element and put it in the position 1...etc. By the ith iteration, the with smallest element comes at the ith position. We will need (n-1) iterations in total. When…
- Translate into English. Let p = "I am studying Java”, q = “It is sunny”, r = “I am at the beach" For "or" indicate inclusive/exclusive in your English language. a. p^q b. rq c.q→ (pv¬r)Part a. Make a diagram of memory for point one when n == 2. int expo(int x, int n) { int r, t; if (n == 0) r = 1; else if (n == 1) r = x; else { t = expo (x, n / 2); r = t * t; if (n % 2 == 1) r *= t: } //-- -point one return r; int main(void) { int i; i = expo(4, 5); return 0; Part b. Using divide-and-conquer recursion to solve a problem similar to Prob- lem 3 is somewaiät tricky but a good test of programming skill. Write a function definition that provides a divide-and-conquer implementation of the following interface: double max_adj_sum(const double *a, int lo, int hi); // REQUIRES: hi - lo >= 2. // PROMISES: Return value is the largest sum that can be made by adding // Elements a[lo] ... a[hi -1] exist. two elements among a[lo] ... a[hi-1] with adjacent inderes. Hint: It makes sense to have two base cases, not just one.2.2.14 Sorted queues being combined. Create a static function that receives two queues of sorted items as inputs and returns a queue formed by combining the two queues into a single sorted order queue. 2.2.15 Bottom-up mergesort of a queue. Create an implementation of the bottom-up mergesort using the following strategy: Make N queues, each holding one of the N things, given N items. assemble the N queues into a queue. Apply Exercise 2.2.14's merging process to the first two queues several times, and at the conclusion, reinsert the combined queue.Continue until there is just one queue left in the queue of queues.
- Implement in C Programing 7.10.1: LAB: Product struct Given main(), build a struct called Product that will manage product inventory. Product struct has three data members: a product code (string), the product's price (double), and the number count of product in inventory (int). Assume product code has a maximum length of 20. Implement the Product struct and related function declarations in Product.h, and implement the related function definitions in Product.c as listed below: Product InitProduct(char *code, double price, int count) - set the data members using the three parameters Product SetCode(char *code, Product product) - set the product code (i.e. SKU234) to parameter code void GetCode(char *productCode, Product product) - return the product code in productCode Product SetPrice(double price, Product product) - set the price to parameter product double GetPrice(Product product) - return the price Product SetCount(int count, Product product) - set the number of items in inventory…Define the following sets: A={x, y, z, t}, B={s, t, u, v, w, x}, C={t, v, u, s}, D={s, t, u, v}Determine whether each of the statements is true, false, or meaningless. State your answer clearly.(You do not have to justify your answers, but they have to be correct.) (a){s, t}⊂D (b)A⊆B (c)A∈C (d)|C|=|B|please provide orignal solution.3. Big-O Dating Game. Match each data structure with the correct desired behavior so that each algorithm achieves its best Big-O (runtime efficiency). Feel free to justify each match. Structure A: I'm the kind of algorithm who wants a data structure that isn't slow minded. When I ask it a question, I expect my data structure to be able to find the answer quickly and efficiently, but I don’t need to keep my data in any particular order. (What data structure would be appropriate in a find-heavy algorithm?) Structure B (2): I like to keep things tidy. I like it best when everything is in its rightful place and would like to meet a data structure that isn't going to make that difficult. (What data structure would be appropriate for an algorithm that needs to maintain the ordering of my data?)