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Simultaneous Linear Equations
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The size of matrix is
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then if [C]=[A][B], then c31= .
Given then if [C]=[A][B], then c31= -57 -45 57 does not exist
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A square matrix [A] is upper triangular if
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An identity matrix [I] needs to satisfy the following
matrix is square all of the above
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The following system of equations x + y=2 6x + 6y=12 has solution(s).
no one more than one but a finite number of infinite
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PHYSICAL PROBLEMS
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Truss Problem
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Polynomial Regression
We are to fit the data to the polynomial regression model
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Simultaneous Linear Equations Gaussian Elimination (Naïve and the Not That So Innocent Also)
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The goal of forward elimination steps in Naïve Gauss elimination method is to reduce the coefficient matrix to a (an) _________ matrix. diagonal identity lower triangular upper triangular
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One of the pitfalls of Naïve Gauss Elimination method is
large truncation error large round-off error not able to solve equations with a noninvertible coefficient matrix
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Increasing the precision of numbers from single to double in the Naïve Gaussian elimination method
avoids division by zero decreases round-off error allows equations with a noninvertible coefficient matrix to be solved
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Division by zero during forward elimination steps in Naïve Gaussian elimination for [A][X]=[C] implies the coefficient matrix [A] is invertible is not invertible cannot be determined to be invertible or not
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Division by zero during forward elimination steps in Gaussian elimination with partial pivoting of the set of equations [A][X]=[C] implies the coefficient matrix [A] is invertible is not invertible cannot be determined to be invertible or not
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Using 3 significant digit with chopping at all stages, the result for the following calculation is
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Using 3 significant digits with rounding-off at all stages, the result for the following calculation is
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Determinants If a multiple of one row of [A]nxn is added or subtracted to another row of [A]nxn to result in [B]nxn then det(A)=det(B) The determinant of an upper triangular matrix [A]nxn is given by Using forward elimination to transform [A]nxn to an upper triangular matrix, [U]nxn. 18
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Simultaneous Linear Equations LU Decomposition
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Truss Problem
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If you have n equations and n unknowns, the computation time for forward substitution is approximately proportional to 4n 4n2 4n3
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For a given 1700 x 1700 matrix [A], assume that it takes about 16 seconds to find the inverse of [A] by the use of the [L][U] decomposition method. The approximate time in seconds that all the forward substitutions take out of the 16 seconds is 4 6 8 12
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