Write a code that compares Strassen’s Algorithms and ordinary multiplication. Include error handling. The output should compare the two algorithms (same output = True or false), each algorithm output should be included, and determine the number of matrix multiplication for each algorithm. Also, what' time and space complexity.
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Java code:
The program should ask the users for input and output files.
Question:
Write a code that compares Strassen’s Algorithms and ordinary multiplication.
Include error handling. The output should compare the two algorithms (same output = True or false), each
Thank you!
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- public static void WriteToFile(StreamWriter w, int[,] m) { // Write the elements of the "m" array in the matrix format // to the file "myFile.txt". // -------------------------------------- // Call the "AverageOfAllElements" method and // write the returned value after the text // "The average of all elements of the matrix:" in the file "myFile.txt". // -------------------------------------- // Put the header "LIST OF ODD NUMBERS IN EACH ROW:" in the file "myFile.txt". // Call the "WriteOddNumbersOfEachRow" method. // -------------------------------------- // Put the header "LIST OF EVEN NUMBERS IN EACH COLUMN" in the file "myFile.txt" // Call the "WriteEvenNumbersOfEachColumn" method. }[Python (py3)] The code below can already solve for matrix addition. Please add the code for matrix scalar multiplication. The input will come from file1.txt, and the output should be printed to output.txt Format of the input from file1.txt:First Line: type of operation (add or scalmultiply)Second Line: matrix A dimension (example: if 3 rows and 2 columns, type 3 2)Third Line: matrix A elementsFourth Line: matrix B dimension (or the scalar number for the operation of scalar multiplication)Fifth Line: matrix B elements (not needed for scalar multiplication)Sample input 1:scalMultiply2 253 -47 312Sample output 1:106 -814 62 ---------------------------------------------------------------------------------- import numpy as npimport sys f1 = open("file1.txt","r")lines = f1.readlines()dim = lines[1].split()k=2mat1 = np.empty((0,int(dim[0])), int)for i in range(0,int(dim[0])): l = lines[k].split() l = list(map(int, l)) ls = np.array([l]) k += 1 mat1 = np.append(mat1, ls,…can you write it in java.util.scanner form and can you make so i can copy and past it please, thank you. ☜ (゚ヮ゚☜) Simulate binary search Use array {1, 2, 3, 4, 5, 6, 7} to simulate binary search of 3. For each iteration, you need to write down the value of first, last, and middle after the execution of this statement: middle = (first + last) / 2 follow the loop until you get the search result. After you are done, update the BinarySearchDemo.java class to use this array for search. Compare the print out result to your simulation result.
- Declare two characters array And take input from user in first array and at last index take slach zero (/0) similarly we take input in second array and at end /0. And take another array and copy first array in this blank array and when we come to /0 then copy second array in blank array. Example First array (this is a) Second array (book) Blank array (this is a book) Don't use built-in functionsjava programming language note the corrupted matrix must be read from a txt file in java and make a read file method to read it and replace the * with the average of the column. it should work in any NxM matrice (2D array) please take your time I am not in a hurry. thank you for the help :)Programming language: C/C++, Java, Python, or any other advanced programming languages Project Description: the file “IntegerArray.txt” included in this project folder contains all the 100,000 integers between 1 and 100,000 (inclusive) in some order, with no integer repeated. Your task is to compute the number of inversions in the file given, where the i-th row of the file indicates the i-th entry of an array. Because of the large size of this array, you should implement a divide-and-conquer algorithm.
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- Create two dynamic arrays A and B with random numbers.a) Merge B in array A calling a function by reference.b) Delete the Prime numbers from the merged array A calling a function by pointer.c) Print the Array A in ascending order.You have to use only two Arrays A and B throughout the code. Be carefulabout memory leakage.Example:A= [20, 30, 5, 7, 19]B= [19, 10, 15, 11, 17, 25] a) After merging B in A, the merged Array A will look like-A= [20, 30, 5, 7, 19, 19, 10, 15, 11, 17, 25] b) After deleting prime numbers the merged Array would look like-A= [20, 30, 10, 15, 25] c) Finally print the merged array in ascending orderA= [10, 15, 20, 30, 25] In C++ Pleasedef large_position(matrix: list[list[int]], row: int, col: int) -> int: """ Returns the area of the largest rectangle whose top left corner is at position <row>, <col> in <matrix>. You MUST make use of the helper <longest_chain> here as you loop through each row of the matrix. Do not modify (i.e., mutate) the input matrix. >>> case = [[1, 0, 1, 0, 0], ... [1, 0, 1, 1, 1], ... [1, 1, 1, 1, 1], ... [1, 0, 0, 1, 0]] >>> large_position(case1, 0, 0) 4 """ You must refer to this while writing for the code above Helper: def longest_chain(lst: List[int]) -> int: count = 0 i = 0while (i < len(lst) and lst[i] != 0): i += 1 count += 1 return count """ Please do this on python you should not use any of the following: dictionaries or dictionary methods try-except break and continue statements recursion map / filter import ""'3. Please create a program in Java that will read through a file of 25 words(one of them being Waldo) and will store them in an array. The program should have two types of search (sequential and binary search). Use .equals() to find Waldo and System.nanoTime to find the time it took each of the methods to find Waldo. After that, print both times and in a separate line print which method was the fastest.