start No Yes End No Yes j<=N i=i+1 read N j=j+1 print i j<=k i=1,j=1,k=0 print \n k=k+i
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- The park service records the number of reported rattle snake sightings on Bald Mountain Trail and Camel Back Trail. The data gives rise to the following two bar graphs. Rattlesnake Sightings on Bald Mountain Trail Rattlesnake Sightings on Camel Back Trail 2468101214Year201620172018[Graphs generated by this script: setBorder(28,45,0,10); initPicture(0,8,0,15);axes(1000,2,1,1000,2); fill="blue"; textabs([190,0],"Year","above");rect([1,0],[3,15]);text([2,0],"2016","below");rect([3,0],[5,7]);text([4,0],"2017","below");rect([5,0],[7,1]);text([6,0],"2018","below");] 2468Year201620172018[Graphs generated by this script: setBorder(19,45,0,10); initPicture(0,8,0,8);axes(1000,2,1,1000,2); fill="blue"; textabs([190,0],"Year","above");rect([1,0],[3,1]);text([2,0],"2016","below");rect([3,0],[5,8]);text([4,0],"2017","below");rect([5,0],[7,5]);text([6,0],"2018","below");] Use the bar graphs to fill in the contingency table below. Reported Rattle Snake Sightings Year Trail 2016 2017…The park service records the number of reported rattle snake sightings on Bald Mountain Trail and Camel Back Trail. The data gives rise to the following stacked bar graph. Rattle Snake Sightings 1234567891011121314151617181920-1201620172018[Graphs generated by this script: initPicture(-0.5,6,-1,20);axes(10,1,1,10,1); fill='lightsteelblue'; rect([1,0],[2,3]); rect([2.5,0],[3.5,11]); rect([4,0],[5,6]); fill='gold'; rect([1,3],[2,8]); rect([2.5,11],[3.5,12]); rect([4,6],[5,9]); text([1.5,0],2016,'below');text([3,0],2017,'below');text([4.5,0],2018,'below'); fill='white' ;stroke='white';rect([-.5,-2],[.5,-.1]);] Bald Mountain Trail Camel Back Trail Use the stacked bar graph to fill in the contingency table below. Rattle Snake Sightings Year Trail 2016 2017 2018 Total Bald Mountain Camel Back TotalA weighted, directed graph is a suitable representation to represent the daily airline routes flown by a small airline. The airline have the following daily flights: - Three flights from Cape Town to Johannesburg, - Two flights from Johannesburg to Cape Town. - Four flights from Johannesburg to Durban. - Three flights from Durban to Johannesburg. - One flight from Johannesburg to George. - One flight from George to Johannesburg. Draw the graph and answer the questions that follow
- Please explain Some engineers at Google want you to implement a graph structure of the subway system in Boston showing the connections between each station.They are wondering what data structure to use to represent the graph and use the least amount of memory, given that most stations do not connect to many other stations. Which graph data structure representation should you use and why? Group of answer choices a. Adjacency List -- Because the complexity is O(V+E), the data structure is better at representing sparse graphs since their are fewer connections. b. Adjacency Matrix -- Because the complexity is O(V+E), the data structure is better at representing sparse graphs since their are fewer connections.procedure generate( G : group; P : property; s : 1..k+l; i : 1..k+1;[)'1, T2 ..... )'i-1] : initial segment of base image;var K : group );(* Generate the elements of G (s) whose base image startwith 1(1, T2 ..... 1I/-1 and that may have property P.If one is found then extend K, the subgroup of G (s) of elementswith property P that have already been found, and return to search. *) Algorithm to Backtrack Search Restricting Choice of Base ImagesCorrect answer will be upvoted else downvoted. Computer science. You are given a number n and an exhibit b1,b2,… ,bn+2, acquired by the accompanying calculation: some exhibit a1,a2,… ,a was speculated; cluster a was composed to exhibit b, for example bi=ai (1≤i≤n); The (n+1)- th component of the cluster b is the amount of the numbers in the exhibit a, for example bn+1=a1+a2+… +an; The (n+2)- th component of the cluster b was thought of some number x (1≤x≤109), for example bn+2=x; The cluster b was rearranged. For instance, the cluster b=[2,3,7,12,2] it very well may be acquired in the accompanying ways: a=[2,2,3] and x=12; a=[3,2,7] and x=2. For the given cluster b, find any exhibit a that might have been speculated at first. Input The main line contains a solitary integer t (1≤t≤104). Then, at that point, t experiments follow. The primary line of each experiment contains a solitary integer n (1≤n≤2⋅105). The second column of each experiment…
- A picture is worth a thousand words’ goes the saying: How much information is contained in a picture if the picture size is 250 x 400 pixels, and each pixel may take one of 256 colors with equal probability? Assume there are 60,000 words in a dictionary, and the 1000 words may be selected randomly from this dictionary. How much information do these 1000 words convey? What is the flaw in the above comparison?Array's positive and negative aspects?Algorithm 2 : Backtrack Search Restricting Choice of Base ImagesInput : a group G with a base B=[[51, [52 ..... [sk] and a strong generating set S;a decidable property P whose elements form a subgroup;Output : a strong generating set relative to B for the subgroup K = H (P) ;
- function [ ] = square_spectrum( L,N )%Activity 1 for CEN415 Summer 2022 x=linspace(0,2*L,200);f1=(-1).^floor(x/L);plot(x,f1)f2=0;for n=1:2:N, f2=f2+4*sin(n*pi.*x/L)/n/pi;endhold onplot(x,f2)hold offend 1-Run the function with L=3 and N=1 and upload the plotted graph use matlapMake an algorithm for this below: Construct a 6x6 table and populate the cells with alphabets from your address (68-9th Street, Nchanga South, Chingola) repeatedly. Design an effective algorithm to create and display the patterns "/ (diagonal)" in increasing and decreasing order. Merge and print any two patterns with maximum length from both increasing & decreasing orders and compress and print the same.The size of the intersection divided by the size of the union is used to determine how similar two papers are (each having unique words). For instance, the similarity between 1, 5, 3 and 1, 7, 2, 3 is 0, 4, as the intersection has size, if the documents are made up of integers.the union has a size of 2, andWe have a large collection of documents (each with a unique value and a corresponding ID), where the similarity is deemed to be "sparse":This means that there is a high likelihood of resemblance between any two randomly chosen papers. O. Create an algorithm that provides a list of document ID pairings together with the corresponding similarity.Only the pairings with similarity larger than 0 should be printed. Documents that are empty should not