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1. Consider a sparse matrix of the form, A=b1a200cnc1b2a300c2b30c3an100bn1ana100cn1bnnn where nn marks the dimension of the matrix. Adapt the thomas.m code in Canvas to solve
1. Consider a sparse matrix of the form, A=b1a200cnc1b2a300c2b30c3an100bn1ana100cn1bnnn where nn marks the dimension of the matrix. Adapt the thomas.m code in Canvas to solve for a sparse matrix of this form. Show details of your derivation, then estimate the computational cost for this algorithm, accurate to the numerical coefficient to the leading order. (Hint: track the changes in the last row and column.)
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