For each of the following statement, identify if it is True or False: Big-O for worst case of Linear Search is linear. Big-O for worst case of Linear Search is logarithmic. Big-O for best cases of Linear Search and Binary Search are the same. Binary Search is better than Linear Search in the best case. Big-O for worst case and average case of Binary Search are the same. In Binary Search, Big-O for average case is better than Big-O for worst case. True False

For each of the following statement, identify if it is True or False: Big-O for worst case of Linear Search is linear. Big-O for worst case of Linear Search is logarithmic. Big-O for best cases of Linear Search and Binary Search are the same. Binary Search is better than Linear Search in the best case. Big-O for worst case and average case of Binary Search are the same. In Binary Search, Big-O for average case is better than Big-O for worst case. True False

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

Problem 1PE

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This assignment uses several heuristic search techniques to find possibly optimal truth assignments for variables in the given Boolean formulas (see the bottom of the assignment). The formulas are in conjunctive normal form (ANDs of ORs). The fitness of an assignment is the number of clauses (ORs) that the assignment satisfies. If there are c clauses, then the highest fitness is bounded by c. However, if the formula is not satisfiable, then you cannot simultaneously make all c clauses true. You will use three of the following seven techniques: DPLL Resolution Genetic algorithms Local search Simulated annealing GSAT WalkSAT You must choose at least one complete algorithm to implement - DPLL or Resolution.
Appendix A 10-Fold Cross Validation for Parameter Selection Cross Validation is the standard method for evaluation in empirical machine learning. It can also be used for parameter selection if we make sure to use the training set only. To select parameter A of algorithm A(X) over an enumerated range d E [A1,..., A] using dataset D, we do the following: 1. Split the data D into 10 disjoint folds. 2. For each value of A e (A1,..., Ar]: (a) For i = 1 to 10 Train A(A) on all folds but ith fold Test on ith fold and record the error on fold i (b) Compute the average performance of A on the 10 folds. 3. Pick the value of A with the best average performance Now, in the above, D only includes the training data and the parameter A is chosen without the knowledge of the test data. We then re-train on the entire train set D using the chosen A and evaluate the result on the test set.
Show the differences between breadth first search and best first search in 8 Puzzle game. Start and goal states are given below. Sequence of operation must be up, down, left, right for blank tile and heuristic function is number of tiles out of place. Maximum 4 levels may be searched.
The following problem is called the coupon collector problem and has many applications in computer science.Consider a bag that contains N different types of coupons (say coupons numbered 1 . . .N. There areinfinite number of each typ of coupon. Each time a coupon is drawn from the bag, it is independent of theprevious selection and equally likely to be any of the N types. Since there are infinite numbers of each type,one can view this as sampling with replacement. Let T denote the random variable that denotes the numberof coupons that needs to be collected until one obtains a complete set of atleast one of each type of coupon.Write a R simulation code to compute the E(T). Plot E(T) as for N = 10, 20, 30, 40, 50, 60. In the same plot show the theoretical value and summarize your observation regarding the accuracy of theapproximation.
Given A = {1,2,3} and B={u,v}, determine. a. A X B b. B X B
Correct answer will be upvoted else Multiple Downvoted. Computer science. Gildong has a square board comprising of n lines and n sections of square cells, each comprising of a solitary digit (from 0 to 9). The cell at the j-th section of the I-th line can be addressed as (i,j), and the length of the side of every cell is 1. Gildong prefers enormous things, so for every digit d, he needs to find a triangle with the end goal that: Every vertex of the triangle is in the focal point of a cell. The digit of each vertex of the triangle is d. Somewhere around one side of the triangle is corresponding to one of the sides of the board. You might expect that a side of length 0 is corresponding to the two sides of the board. The space of the triangle is boosted. Obviously, he can't simply be content with tracking down these triangles with no guarantees. Along these lines, for every digit d, he will change the digit of precisely one cell of the board to d, then, at that point, track…
Pls Use Python Explain the Wronskian determinant test. Using the Wronskian determinant test, write the program using NumPy to determine whether the functions f(x)=e^(- 3x), g(x)=cos2x and h(x)=sin2x are linearly independent in the range (-∞, + ∞). Ps: Please also explain step by step with " # "
suppose a computer solves a 100x100 matrix using Gauss elimination with partial pivoting in 1 second, how long will it take to solve a 300x300 matrix using Gauss elimination with partial pivoting on the same computer? and if you have a limit of 100 seconds to solve a matrix of size (N x N) using Gauss elimination with partial pivoting, what is the largest N can you do? show all the steps of the solution
Correct answer will be upvoted else downvoted. Computer science. Positive integer x is called divisor of positive integer y, in case y is distinguishable by x without remaining portion. For instance, 1 is a divisor of 7 and 3 isn't divisor of 8. We gave you an integer d and requested that you track down the littlest positive integer a, to such an extent that a has no less than 4 divisors; contrast between any two divisors of an is essentially d. Input The primary line contains a solitary integer t (1≤t≤3000) — the number of experiments. The primary line of each experiment contains a solitary integer d (1≤d≤10000). Output For each experiment print one integer a — the response for this experiment.
This problem is taken from the delightful book "Problems for Mathematicians, Young and Old" by Paul R. Halmos. Suppose that 931 tennis players want to play an elimination tournament. That means: they pair up, at random, for each round; if the number of players before the round begins is odd, one of them, chosen at random, sits out that round. The winners of each round, and the odd one who sat it out (if there was an odd one), play in the next round, till, finally, there is only one winner, the champion. What is the total number of matches to be played altogether, in all the rounds of the tournament? Your answer: Hint: This is much simpler than you think. When you see the answer you will say "of course".
Q: Make a complexity analysis of string matching algorithms and identify which one performs efficiently in worst case. Also justify your answer. Note: this question is related from analysis of algorithms subject kindly solved it correctly .
Correct answer will be upvoted else Multiple Downvoted. Don't submit random answer. Computer science. You have a knapsack with the limit of W. There are likewise n things, the I-th one has weight wi. You need to place a portion of these things into the knapsack so that their all out weight C is half of its size, however (clearly) doesn't surpass it. Officially, C ought to fulfill: ⌈W2⌉≤C≤W. Output the rundown of things you will place into the knapsack or establish that satisfying the conditions is unimaginable. In case there are a few potential arrangements of things fulfilling the conditions, you can output any. Note that you don't need to expand the amount of loads of things in the knapsack. Input Each test contains various experiments. The principal line contains the number of experiments t (1≤t≤104). Depiction of the experiments follows. The main line of each experiment contains integers n and W (1≤n≤200000, 1≤W≤1018). The second line of each experiment…