Generate random matrices of size n × n where n = 100, 200, . . . , 1000. Also generate a random b ∈ R n for each case. Each number must be of the form m.dddd (Example : 4.5444) which means it has 5 Significant digits in total. Perform Gaussian elimination with and without partial pivoting for each n value (10 cases) above. Report the number of additions, divisions and multiplications for each case in the form of a table. No need of the code and the matrices / vectors. Deliverable(s): Two tabular columns indicating the number of additions, multiplications and divisions for each value of n, for with and without pivoting in Python
Generate random matrices of size n × n where n = 100, 200, . . . , 1000. Also generate a random b ∈ R n for each case. Each number must be of the form m.dddd (Example : 4.5444) which means it has 5 Significant digits in total. Perform Gaussian elimination with and without partial pivoting for each n value (10 cases) above. Report the number of additions, divisions and multiplications for each case in the form of a table. No need of the code and the matrices / vectors. Deliverable(s): Two tabular columns indicating the number of additions, multiplications and divisions for each value of n, for with and without pivoting in Python
C++ Programming: From Problem Analysis to Program Design
8th Edition
ISBN:9781337102087
Author:D. S. Malik
Publisher:D. S. Malik
Chapter8: Arrays And Strings
Section: Chapter Questions
Problem 24PE
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Question
Generate random matrices of size n × n where n = 100, 200, . . . , 1000.
Also generate a random b ∈ R
n
for each case. Each number must be
of the form m.dddd (Example : 4.5444) which means it has 5 Significant digits in total. Perform Gaussian elimination with and without
partial pivoting for each n value (10 cases) above. Report the number
of additions, divisions and multiplications for each case in the form of
a table. No need of the code and the matrices /
Deliverable(s): Two tabular columns indicating the number of additions, multiplications and divisions for each value of n, for with and
without pivoting in Python
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