To gauge the complexity of a computational task, mathematicians and computer scientists count the number ofelementary operations (additions, subtractions, multiplications, and divisions) required. For a rough count, we will sometimes consider multiplications arid divisions only, referring to those jointly as multiplicativeoperations . As an example, we examine the process ofinverting a 2 × 2 matrix by elimination. The whole process requires eight multiplicative operations. Note that we do not count operations with predictable results, such as 1a, 0a, a/a, 0/a. a. How many multiplicative operations are required to invert a 3 × 3 matrix by elimination1? b. How many multiplicative operations are required to invert an n × n matrix by elimination? c. If it takes a slow hand-held calculator 1 second to invert a 3 × 3 matrix, how long will it take the same calculator to invert a 12 × 12 matrix? Assume that the matrices are inverted by Gauss—Jordan elimination and that the duration of the computation is proportional lo the number of multiplications and divisions involved.
To gauge the complexity of a computational task, mathematicians and computer scientists count the number ofelementary operations (additions, subtractions, multiplications, and divisions) required. For a rough count, we will sometimes consider multiplications arid divisions only, referring to those jointly as multiplicativeoperations . As an example, we examine the process ofinverting a 2 × 2 matrix by elimination. The whole process requires eight multiplicative operations. Note that we do not count operations with predictable results, such as 1a, 0a, a/a, 0/a. a. How many multiplicative operations are required to invert a 3 × 3 matrix by elimination1? b. How many multiplicative operations are required to invert an n × n matrix by elimination? c. If it takes a slow hand-held calculator 1 second to invert a 3 × 3 matrix, how long will it take the same calculator to invert a 12 × 12 matrix? Assume that the matrices are inverted by Gauss—Jordan elimination and that the duration of the computation is proportional lo the number of multiplications and divisions involved.
Solution Summary: The author calculates how many multiplicative operations are required to invert a 3times 3 matrix by elimination.
To gauge the complexity of a computational task, mathematicians and computer scientists count the number ofelementary operations (additions, subtractions, multiplications, and divisions) required. For a rough count, we will sometimes consider multiplications arid divisions only, referring to those jointly as multiplicativeoperations. As an example, we examine the process ofinverting a
2
×
2
matrix by elimination.
The whole process requires eight multiplicative operations. Note that we do not count operations with predictable results, such as 1a, 0a, a/a, 0/a. a. How many multiplicative operations are required to invert a
3
×
3
matrix by elimination1? b. How many multiplicative operations are required to invert an
n
×
n
matrix by elimination? c. If it takes a slow hand-held calculator 1 second to invert a
3
×
3
matrix, how long will it take the same calculator to invert a
12
×
12
matrix? Assume that the matrices are inverted by Gauss—Jordan elimination and that the duration of the computation is proportional lo the number of multiplications and divisions involved.
I want to learn this topic l dont know anything about it
Solve the linear system of equations attached using Gaussian elimination (not Gauss-Jordan) and back subsitution.
Remember that:
A matrix is in row echelon form if
Any row that consists only of zeros is at the bottom of the matrix.
The first non-zero entry in each other row is 1. This entry is called aleading 1.
The leading 1 of each row, after the first row, lies to the right of the leading 1 of the previous row.
Chapter 2 Solutions
Linear Algebra With Applications (classic Version)
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