1. Solve the Eight Tiled Puzzle Problem Using Hill-climbing algorithm with the help of C++ programming language. Initial state and goal state are given below. 4 7 2 1 2 5 7 8 6 Initial state Goal state 3.

problem didnt even answer D and E

big o notation time complexity for question 4 & 5

Consider the following sequence and answer the questions 2, 7, 14, 23, 34, . (1) Develop the recursive solution to identify numbers in the list. (2) Develop the closed-form solution of the recursive solution you made in the previous question.

Boolean Satisfaction Problem Boolean Satisfiability Problem (SAT) (https://en.wikipedia.org/wiki/Boolean_satisfiability_problem) is one of the most important problems in Computer Science. SAT is a problem that has NP-Complete complexity, where the only way to solve the problem is to try all the possibilities and check which one is correct. [LO 1, LO 2, LO 3 & LO 4,] Briefly describe how you used Backtracking to solve the Boolean Satisfiability Problem. Note that your solution must have exponential complexity. [LO 1, LO 2, LO 3 & LO 4,] Briefly explain how you use Strongly Connected Component (SCC) to solve the special case of the Boolean Satisfiability Problem, namely 2-SAT (https://en.wikipedia. org/wiki/2-SAT) . This solution has linear complexity. Solve the Subparts A&B thank u NOTE LO1: Explain fundamental concept of analysis arithms. LO2: Apply algorithm techniques and methods. LO3: Solve a problem using specific algorithm. LO4: Compare several algorithm design...

a. Correctness of dynamic programming algorithm: Usually, a dynamic programming algorithm can be seen as a recursion and proof by induction is one of the easiest way to show its correctness. The structure of a proof by strong induction for one variable, say n, contains three parts. First, we define the Proposition P(n) that we want to prove for the variable n. Next, we show that the proposition holds for Base case(s), such as n = 0, 1, . . . etc. Finally, in the Inductive step, we assume that P(n) holds for any value of n strictly smaller than n' , then we prove that P(n') also holds. Use the proof by strong induction properly to show that the algorithm of the Knapsack problem above is correct. b. Bounded Knapsack Problem: Let us consider a similar problem, in which each item i has ci > 0 copies (ci is an integer). Thus, xi is no longer a binary value, but a non-negative integer at most equal to ci , 0 ≤ xi ≤ ci . Modify the dynamic programming algorithm seen at class for this...

Write the code in python programming for the below problem. Introduction One useful data point in detecting fraud is the account history of a customer. For an account, we receive notification of purchases and, sometimes, reports of fraud. Typically, a prior report of fraud for an account would increase the perceived risk of fraud on future transactions. Similarly, a history of non-fraudulent purchases for an account would decrease the risk of fraud. A credit card holder has 90 days to report any fraudulent transactions with the card. So if an account has purchases over 90 days old and no reports of fraud, we assume that these older purchases were not-fraudulent. Problem Description The purpose of this programming problem is to determine the status of a customer account history at the time a new purchase is made. The input is a sequence of customer account events, in chronological order. Each event has three fields, all of which are of string type ,, For example:...

Can you please solve a and b. The exercise is for a course call computer organization

In C++, please and thank you.

Given three sequences of length m, n, and p each, you are to design and analyze an algorithm to find the longest common subsequence (LCSS) for the three sequence. Is it possible to use dynamic programming to find the LCSS between the three sequences? If yes, provide recursive solution to the above problem.

Please solve max 30 minutes thank u Boolean Satisfaction Problem Boolean Satisfiability Problem (SAT) (https://en.wikipedia.org/wiki/Boolean_satisfiability_problem) is one of the most important problems in Computer Science. SAT is a problem that has NP-Complete complexity, where the only way to solve the problem is to try all the possibilities and check which one is correct. [LO 1, LO 2, LO 3 & LO 4,] Briefly explain how you use Strongly Connected Component (SCC) to solve the special case of the Boolean Satisfiability Problem, namely 2-SAT (https://en.wikipedia. org/wiki/2-SAT) . This solution has linear complexity. NOTE LO1: Explain fundamental concept of analysis arithms. LO2: Apply algorithm techniques and methods. LO3: Solve a problem using specific algorithm. LO4: Compare several algorithm design methods

Problem 4 We can use lists of numbers like l to represent a mathematical vector. Recall from math classes that a vector is an object with a magnitude and direction. The magnitude is the sqrt of the sum of the squares (for a vector (x,y) it's the Pythagorean theorem for the magnitude (x^2 + y^2)**(1/2)). For a vector of any other length, the formula generalizes to (l[0]^2 + l[1]^2 + l[2]^2 + ... )**(1/2). For this problem use l from Problem 1 and a for loop to compute the magnitude of l with the result stored in l_mag. For l above, its magnitude is 12.96. Python gives you the ** exponentiation operator to raise a number to a power. You could also import math and use math.sqrt(). l = [1, 2, 3, 4, 5, 7, 8] Please give proper explanation and typed answer only.