9.22 - Sketch both the output polygons and the resultant attribute table from the over-lay shown below:Spatial Data1CA2В3TablesIDnoownID WardReppop.11215E. Nuff+A11Hanks49621863U. Kahn31919I. CeeBRyan187Gump 2,312

Answered: Image /qna-images/answer/8c0abcea-d234-476d-96e7-1b5243b8f3b9.jpg

9.22 - Sketch both the output polygons and the resultant attribute table from the over- lay shown below: Spatial Data 1 A 3 Tables ID no own ID Ward Rep pop. 1 1215 E. Nuff A 11 Hanks 496 2 1863 U. Kahn 1919 I. Cee B Ryan 187 9. Gump 2,312 +

9.22 - Sketch both the output polygons and the resultant attribute table from the over- lay shown below: Spatial Data 1 A 3 Tables ID no own ID Ward Rep pop. 1 1215 E. Nuff A 11 Hanks 496 2 1863 U. Kahn 1919 I. Cee B Ryan 187 9. Gump 2,312 +

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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9.3. (a) Write a MATLAB program that sets up a 15 x 40 matrix with entries 0 everywhere except for the values 1 in the positions indicated in the picture below. The upper-leftmost 1 is in position (2,2), and the lower-rightmost 1 is in position (13, 39). This picture was produced with the command spy (A). HELLO 5- 10- 15-. 5 10 15 20 25 30 35 40 (b) Call svd to compute the singular values of A, and print the results. Plot these numbers using both plot and semilogy. What is the mathematically exact rank of A? How does this show up in the computed singular values? (c) For each i from 1 to rank(A), construct the rank-i matrix B that is the best approximation to A in the 2-norm. Use the command pcolor (B) with colormap(gray) to create images of these various approximations.
5.33 Matlab
8.4.3 (B) PLEASE ONLY DO PROBLEM B. PROBLEM A IS AN EXAMPLE HOW THE ANSWER SHOULD LOOK.
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3.2.2.1 Lagrange interpolation The principles of Lagrange interpolation were introduced in the lecture. Recall that this takes a set of n +1 data points, (æk, fk) with k = 0,..., n, and defines Lagrange basis polynomials by Lk(x) = n II 20 i=0 i#k T-Ti Thi k = 0,..., n. The Lagrange interpolating polynomial is then defined by n P(x) = Σ fkLk (x). k=0 (3.1) (3.2) Note that, for convenience in Python, indices in equations (3.1) and (3.2) start at 0. There are n+ 1 interpolation points and P(x) is therefore of degree n. CHAPTER 3. INTERPOLATION 1. Write a function lagrange_poly which computes the kth Lagrange basis polynomial. It should take as arguments an array of points x, the list of interpolation points xk, and an integer k, and return an array of numbers L(x) according to (3.1). 2. Write a function interpolating_poly which computes the Lagrange interpolating polynomial given by (3.2). It should take as arguments an array of points x and lists of data points k and fk, and call the…
1.53 Let = {0, 1, +,-) and ADD = {x=y+z|x, y, z are binary integers, and is the sum of y and z}. Show that ADD is not regular.
9.34) Discuss what you would expect the result to be in each of the following cases: (a)* The starting point of the hole filling algo- ) is a point on the outer boundary of the object containing the hole. rithm of (b) The starting point in the hole filling algo- rithm is outside of the boundary (i.e., the starting point is a background pixel).
Exercise 11.5 (a) A cut-edge of a graph G = (V, E) is an edge whose removal paritions the graph into two or more connected components (note that some of these components can be single vertex). Give a O(|V]+ E) time algorithm to find all the cut-edges of G. Give a clear description of your algorithm and the pseudocode and argue the running time bound. (Hint: Again this is a modification of the algorithm to find cut-vertices. What is the condition for an edge to be a cut-edge? Can it lie on a simple cycle of G?) %3D (b) Run your algorithm on the undirected graph given in Figure 2. Show the main steps and output the cut edges of the graph. 1 3 7 3 DFS Tree Figure 2
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