Three-Dimensional Surface and Contour Plots 5.31 Create x and y vectors from -5 to +5 with a spacing of 0.5. Use the meshgrid function to map x and y onto two new two-dimensional matrices called x and y. Use your new matrices to calculate vector Z, with magnitude Z-sin (√x² + y²) a. Use the mesh plotting function to create a three-dimensional plot of Z. b. Use the surf plotting function to create a three-dimensional plot of Z. Compare the results you obtain with a single input (Z) with those obtained with inputs for all three dimensions (X, Y, Z). d. Generate a contour plot of Z. Use handle graphics and the contour lines. function to label the

Three-Dimensional Surface and Contour Plots 5.31 Create x and y vectors from -5 to +5 with a spacing of 0.5. Use the meshgrid function to map x and y onto two new two-dimensional matrices called x and y. Use your new matrices to calculate vector Z, with magnitude Z-sin (√x² + y²) a. Use the mesh plotting function to create a three-dimensional plot of Z. b. Use the surf plotting function to create a three-dimensional plot of Z. Compare the results you obtain with a single input (Z) with those obtained with inputs for all three dimensions (X, Y, Z). d. Generate a contour plot of Z. Use handle graphics and the contour lines. function to label the

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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Question

Three-Dimensional Surface and Contour Plots
5.31 Create x and y vectors from -5 to +5 with a spacing of 0.5. Use the meshgrid function to
map x and y onto two new two-dimensional matrices called x and y. Use your new matrices to
calculate vector Z, with magnitude
Z = sin(√x² + y²)
a. Use the mesh plotting function to create a three-dimensional plot of Z.
b. Use the surf plotting function to create a three-dimensional plot of Z. Compare the
results you obtain with a single input (Z) with those obtained with inputs for all three
dimensions (X, Y, Z).
d. Generate a contour plot of Z. Use handle graphics and the
contour lines.
function to label the

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Three-Dimensional Surface and Contour Plots 5.31 Create x and y vectors from -5 to +5 with a spacing of 0.5. Use the meshgrid function to map x and y onto two new two-dimensional matrices called x and y. Use your new matrices to calculate vector Z, with magnitude Z = sin(√x² + y²) a. Use the mesh plotting function to create a three-dimensional plot of Z. b. Use the surf plotting function to create a three-dimensional plot of Z. Compare the results you obtain with a single input (Z) with those obtained with inputs for all three dimensions (X, Y, Z). d. Generate a contour plot of Z. Use handle graphics and the contour lines. function to label the
Write in C Asks the user for the magnitude (distance), in meters, and the heading, in degrees of the navigation to way-point Alpha. - Decompose the vector into x and y components and output the magnitude and direction (North, West, South, or East are the only reliable headings on the sub's compass) of the x component and then they component. The x component is the magnitude multiplied by the cosine of the angle. They component is the magnitude multiplied by the sine of the angle. Determine compass direction depending on weather the vector component is positive or negative. This step has to be repeated for waypoint bravo. Output the total distance traveled by the submarine from the starting point till it reaches point bravo. Output the distance from the starting point till point bravo (the true distance, not the distance traveled). Ask the user for the target bearing (0 to 25 degrees, float) and range (range in meters, integer). Output a firing solution as follows Range 100 to 300 301…
matlab code
I need a clear and fast answer within 20 minutes. Thank you
Peform this in Python. Utilize vectorized calculations and not use any form of loops. Make a data frame consisting of 20 and 10 columns. Eachcolumn j should consist of 20 values from a normal distribution with mean (j-1) and standard deviation 0.5j. For example, the third column should be normal(mean=2, sd=1.5). Using this data frame, do each of the following (using code, of course): Find the mean and standard deviation for each column. Write code that counts the number of columns for which the sample mean and sample standard deviation are within 20% of the values used to generate the data. Write code that writes the columns from part b to a new data frame. For each value in the new data frame, subtract its column mean and divide by the column standard deviation.