17. What is the time/space complexity of the NW/SW method? 18. Write the pseudocode for BWT and inverse of BWT.
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17. What is the time/space complexity of the NW/SW method?
18. Write the pseudocode for BWT and inverse of BWT.
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- Complete the following methodsWhat is the narrowest definition of the number (1)/(3)?code in java pls Summary: Given integer values for red, green, and blue, subtract the gray from each value. Computers represent color by combining the sub-colors red, green, and blue (rgb). Each sub-color's value can range from 0 to 255. Thus (255, 0, 0) is bright red, (130, 0, 130) is a medium purple, (0, 0, 0) is black, (255, 255, 255) is white, and (40, 40, 40) is a dark gray. (130, 50, 130) is a faded purple, due to the (50, 50, 50) gray part. (In other words, equal amounts of red, green, blue yield gray). Given values for red, green, and blue, remove the gray part. Ex: If the input is: 130 50 130 the output is: 80 0 80 Find the smallest value, and then subtract it from all three values, thus removing the gray.
- Write a recursive method that gets three parameters as input: an array of integers called nums, an integer called index, and an integer called value. The purpose of this method is to count how many times value appears in the array starting at nums[index]. Do not use loops. (Java code)TROUBLESHOOTING: Fix the errors in the code below and run the script with your modified code function [x,numIter,omega] = gaussSeidel(func,x,maxIter,epsilon) % Solves Ax = b by Gauss-Seidel method with relaxation. % USAGE: [x,numIter,omega] = gaussSeidel(func,x,maxIter,epsilon) % INPUT: % func = handle of function that returns improved x using % x = starting solution vector % maxIter = allowable number of iterations (default is 500) % epsilon = error tolerance (default is 1.0e-9) % OUTPUT: % x = solution vector % numIter = number of iterations carried out % omega = computed relaxation factor if nargin < 4; epsilon = 1.0e-9; end if nargin < 3; maxIter = 500; end k = 10; p = 1; omega = 1; for numIter = 1:maxIter xOld = x; x = feval(func,x,omega); dx = sqrt(dot(x - xOld,x - xOld)); if dx < epsilon; return; end if numIter == k; dx1 = dx; end if numIter == k + p omega = 2/(1 + sqrt(1 - (dx/dx1)ˆ(1/p))); end end error(’Too many iterations’)def apply_gaussian_noise(X, sigma=0.1): """ adds noise from standard normal distribution with standard deviation sigma :param X: image tensor of shape [batch, 3, height, width] Returns X + noise. """ ### YOUR CODE HERE ### # noise tests theoretical_std = (X_train[:100].std() ** 2 + 0.5 ** 2) ** .5 our_std = apply_gaussian_noise(X_train[:100], sigma=0.5).std() assert abs(theoretical_std - our_std) < 0.01, \ "Standard deviation does not match it's required value. Make sure you use sigma as std." assert abs(apply_gaussian_noise(X_train[:100], sigma=0.5).mean() - X_train[:100].mean()) < 0.01, \ "Mean has changed. Please add zero-mean noise"
- Write a C/C++ program to implement Floyd Warshall Algorithm that displays the matrix after each step. Elements should be right-aligned in proper columns. Use your program on the graph given below. Give the source code and the runtime screen. 3 8. 1 4 3 2.NUMERICAL ANALYSIS::::::: Write a MATLAB program for the Newton-Raphson method. Write your name, ID, and number of the Section inside the code. Test your algorithm to find the root of the function: f(x) = cos(x) + 1/(1+x^2) defined on the interval [0.4, 4.5]. The angles are in radian. Start with the initial value for x to be 1.2. Stop the running until 10 iterations or relative approximated error is less than 0.05. Display the output for each iteration.Using python: show how to convert Dict type to Series? show how to convert List type to Series? show how to convert Tuple type to Series? Give an Give an example to Give an example to example to Give an example to Give an example to Give an example to show how to convert Numpy.array type to Series? show how to convert Dict type to DataFrame? show how to convert Series type to DataFrame? Give an example to show how to convert Numpy.array type to DataFrame? Give examples to show at least two different ways to select subset of columns from a dataframe data. Give examples to show at least two different ways to select subset of rows from a dataframe data.
- NOTE: WRITE IN C# Write a distributed probability random number generator using one of the probability sampling methods (like rejection sampling). Explain the codes and the sampling implementation in detail. Example: İnputs : (3, 0.4) (5, 0.5) Output: Generated random number is 3, it has %40 probability Generated random number is 5, it has %50 probability NOTE: WRITE IN C# NOTE: MAKE A GENERIC SOLUTION THAT APPLIES FOR ANY GIVEN NUMBER AND PROBABILITY. NOT JUST BASED ON THIS EXAMPLE !!!Write and test a Java/Python recursive method for finding the minimum element in an array, A, of n elements. What the running time? Hint: an array of size 1 would be the stop condition. The implementation is similar to linearSum method in lecture 5 examples. You can use the Math.min method for finding the minimum of two numbers.Please provide an explaation and comments and check image for formula . Write approxPI(), a static method using a simple formula to return an approximate value of π. The method has a single int parameter n, the number of terms used to calculate π, and returns a double value. The simple formula (see notation), is expressed as: Step 1: a simple loop (i=0; i<=n) for the summation (Σ), stored to the variable pSum, of the terms: (-1)i / (2i + 1)pSum = 1/1 + -1/3 + 1/5 + -1/7 + 1/9 + -1/11 + 1/13 … (up to, and include, number of terms: n) i=0 i=1 i=2 i=3 i=4 i=5 i=6 … i <= n Step 2: after the summation, multiple by 4 to obtain the final approximation, piApprox = (4 * pSum) Hint: use Math.pow(x,y) (xy) to calculate (-1)iExample calls to the method:displayln ( "n=1: " + approxPI(1) ); // 2.666666666666667displayln ( "n=10: " + approxPI(10) ); // 3.232315809405594displayln ( "n=50: " + approxPI(50) ); // 3.1611986129870506 Test: - test with values of n: 10, 100, 500, 100000