code with matlab A moving average of a data set x = {X1, X2, X3, X4, X5,..., Xn-1, Xn} is defined as a set of averages of subsets ofthe original data set. For example, a moving average of every two terms would be12*{x1 + x2, x2 + x3, x3 + x4, x4 + X5,..., Xn-1 + xn}. Write a local function that will receive a vector as aninput argument, and will calculate and return the moving average of every two elements. The function willalso output an error message if there is only 1 element in the data set x. Remember to test your function.For example, if x = {3, 4, 5, 6}, the function will return {3.5, 4.5, 5.5}

Detailed explanation of code:- Function Declaration: The code defines a MATLAB function named…

Answered: A moving average of a data set x = {X1,…

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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Recall that histograms are used for constructing load-balanced range partitions. Suppose you have a histogram where values are between 1 and 100, and are partitioned into 10 ranges, 1–10, 11–20,...,91–100, with frequencies 15, 5, 20, 10, 10, 5, 5, 20, 5, and 5, respectively. Give a load-balanced range partitioning function to divide the values into 5 partitions. Write an algorithm for computing a balanced range partition with p partitions, given a histogram of frequency distributions containing n ranges.
1. In multidimensional data analysis, it is interesting to extract pairs of similar cell characteristics associated with substantial changes in measure in a data cube, where cells are considered similar if they are related by roll-up (ie. Ancestors), drill-down (ie. Descendants), or 1-dimensional mutation (ie, siblings) operations. Such an analysis is called cube gradient analysis. Suppose the measure of the cube is average. A user poses a set of probe cells and would like to find their corresponding sets of gradient cells, each of which satisfies a certain gradient threshold. For example, find the set of corresponding gradient cells whose average sale price is greater than 20% of that of the given probe cells. Develop an algorithm than mines the set of constrained gradient cells efficiently in a large data cube.
Design an adjacency Matrix of the alphabets of your full name. In accordance with the following conditions: Let my name is Muhammad Adnan If your name has repeated characters (e.g. character E, 2 times) then you will consider only 1 time. If your Name contains both G and S, then there will be an edge between them and one additional edge from W to each if W is also in your name. If N is the alphabet in your name, it will have an edge to A and S if it available in your name. If P is available then it will have an edge with L if it is available. If there is a blank space in full Name then it will be represented by “_”, and it must have an edge with all alphabets. (Note: Place on in 1 for Edge and 0 for No Edge) Sketch an undirected graph of the above designed adjacency matrix.
Question 2: The game of "FastestPath" consists of a path (a 1-D array) with n positive integers to represent n cities in a path (except the first index which has always value 0). The aim of the game is to move from the source city (located at index 0) to destination (located at last index) in the shortest time. The value at each index shows the travel time to enter the city located in the corresponding index. Here is a sample path where there are 6 cities (n is 6): |0 5 |90 | 7 61 | 12 Always start the game from the first city and there are two types of moves. You can either move to the adjacent city or jump over the adjacent city to land two cities over. The total travel time of a game is the sum of the travel times of the visited cities. In the path shown above, there are several ways to get to the end. Starting in the first city, our time so far is 0. We could travel to city 2, then travel to city 4, then travel to last city for a total travel time of 90 + 61 + 12 = 163. However, a…
HW9_3 The following data set represents the growth rate of bacteria k (per d) as a function of oxygen concentration c (mg/L) and can be modeled by the equation k = Kmax c? (Cs+ c²) c (mg/L) k (/day) 0.5 0.8 1.5 2.5 4.0 1.1 2.5 5.3 7.6 8.9 Linearize & solve for the linearized model coefficients using a MATLAB built-in function. Plot the straight line along with the linearized data. Next, determine the coefficients for the original model, and then create a second figure showing the original data points, and the model function. Place a title on each figure & label axes. Compute r' for both the linearized fit and the growth model fit and place it on the plots with the text command.
In elementwise multiplication A.*B each value in one matrix is paired up with a buddy value in the other and they are multiplied together.In matrix multiplication A*B each row in matrix A is dot-producted with each column in matrix B.The value in the upper left corner of the matrix C is the same as which of the following?C = A*B; options: A(1,1) * B(1,1) dot(A(1,:),B(:,1)) A = [3 1; 5 2];B = [1 -1; 4 0];C = A*Bthe value in the upper left corner of the matrix C is which of the following? % Starting with this code:a = [1 2 3]b = [-1 0 1]% All of the following are identical, except which one? Question 4 options: dot(a,b) a*transpose(b) b*transpose(a) sum(a.*b) They are all identical Fill in the blank to calculate the dot product of amounts and costs.amounts = [2 1 2 5 1]costs = [3.5 1.25 4.25 1.55 3.15]____________ Question 5 options:…
The Burrows-Wheeler transform (BWT) is a transformation that is used in data compression algorithms, including bzip2, and in high-throughput sequencing in genomics. Write a SuffixArray client that computes the BWT in linear time, as follows: Given a string of length N (terminated by a special end-of-file character $ that is smaller than any other character), consider the N-by-N matrix in which each row contains a different cyclic rotation of the original text string. Sort the rows lexicographically. The Burrows-Wheeler transform is the rightmost column in the sorted matrix. For example, the BWT of Mississippi is ipssm$pissii. The Burrows-Wheeler inverse transform (BWI) inverts the BWT. For example, the BWI of ipssm$pissii is mississippi$. Also write a client that, given the BWT of a text string, computes the BWI in linear time.
Design an adjacency Matrix of the alphabets of my name (Isha Tir Razia). In accordance with the following conditions: If name has repeated characters (e.g. character E, 2 times) then you will consider only 1 time. If Name contains both G and S, then there will be an edge between them and one additional edge from W to each if W is also in your name. If N is the alphabet in your name, it will have an edge to A and S if it available in your name. If P is available then it will have an edge with L if it is available. If there is a blank space in full Name then it will be represented by “_”, and it must have an edge with all alphabets. (Note: Place on in 1 for Edge and 0 for No Edge) Sketch an undirected graph of the above designed adjacency matrix.
Give an example of a binary classification dataset with 3 points (x, y) for which the 1-NN classifier does not have zero training error (that is, it makes mistakes on the training set). You should plot the three points and show where the error is.
Given: NFA M1 = ({A,B,C}, {a,b}, delta, A, {C}) where delta: (A,a) -> {A}, (A,b) -> {A,B}, (B,a) -> {C}, (B,b) -> null, (C,a) -> null, (C,b) -> null. Get the equivalent DFA of the given NFA.
Given: NFA M1 = ({A,B,C}, {a,b}, delta, A, {C}) where delta: (A,a) -> {A}, (A,b) -> {A,B}, (B,a) -> {C}, (B,b) -> null, (C,a) -> null, (C,b) -> null. Get the equivalent DFA of the given NFA. How many 4-symbol strings are accepted in the given NFA M1 or in the equivalent DFA?
Given: NFA M1 = ({A,B,C}, {a,b}, delta, A, {C}) where delta: (A,a) -> {A}, (A,b) -> {A,B}, (B,a) -> {C}, (B,b) -> null, (C,a) -> null, (C,b) -> null. Get the equivalent DFA of the given NFA. How many self-loop edge/s in the equivalent DFA?

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