Which method is used to compute the inverse of a matrix in numerical computing efficiently?
LU Decomposition breaks down a matrix into two components—Lower and Upper triangular matrices—making it easier and computationally efficient to solve systems of equations, including finding the inverse of a matrix. This method is widely used in numerical computing due to its stability and speed compared to direct methods like Gaussian elimination. Why Other Options are Wrong: a) Gaussian Elimination is more direct but less efficient than LU Decomposition. b) Newton-Raphson is used for finding roots of equations, not for matrix inversion. d) Monte Carlo is used for probabilistic simulations, not matrix computations. e) Gram-Schmidt is used for orthogonalization, not for matrix inversion.
Three of the following are alike in a certain way and make a group. Which one is not from that group?
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In the following questions, a group of four figures is given, Out of which four figures are similar to each other in a certain way and one is different ...
Four words have been given, out of which three are alike in some manner, while one is different. Choose the odd one.
In each of the number-pairs, the second number is obtained by performing a certain mathematical operation on the first number. Three of the following pa...
Three of the following four letter-clusters pair are alike and one is different. Choose the odd one.
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In the following question, select the odd number from the given alternatives.Â
Four letter- clusters have been given out of which three are alike in some manner, while one is different. Choose the odd one.
The second number in the given pairs is obtained by performing some mathematical operation(s) on the first number. The same operation(s) is/are followed...
Find the odd set of numbers from the given alternatives?