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(Row Replacement) Another very common row operation from lincar algebra is the row replacement. operation. With this operation, we begin with an original matrix and produce a new matrix where one row has been replaced by the result of adding a mutiple of another row to it. This can be denoted R, - R, + aR, where a represents the multiplier and R, and R; refer to rows i and j. rov_replace Function: Input parameters: • an m x n matrix A (note: the dimensions are not passxd in) • two scalars which represent the rows i and j described above, respectively • a sealar which represents the multiplier a described above Output parameters: • a new matrix representing the resulting matrix from performing the de- sired row replacement operation on A A possible sample case is: > mat_B = row_replace ([1:4 ; 2:5 ; 3:6 ; 4:7], 2, 3, -1) mat B = 1 2 3 4 -1 -1 -1 3 4 5 4 5 6 7 -1

(Row Replacement) Another very common row operation from lincar algebra is the row replacement. operation. With this operation, we begin with an original matrix and produce a new matrix where one row has been replaced by the result of adding a mutiple of another row to it. This can be denoted R, - R, + aR, where a represents the multiplier and R, and R; refer to rows i and j. rov_replace Function: Input parameters: • an m x n matrix A (note: the dimensions are not passxd in) • two scalars which represent the rows i and j described above, respectively • a sealar which represents the multiplier a described above Output parameters: • a new matrix representing the resulting matrix from performing the de- sired row replacement operation on A A possible sample case is: > mat_B = row_replace ([1:4 ; 2:5 ; 3:6 ; 4:7], 2, 3, -1) mat B = 1 2 3 4 -1 -1 -1 3 4 5 4 5 6 7 -1

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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make code no if or returns

(Row Replacement) Another very common row operation from linear algebra is the row replacement operation. With this operation, we begin with an original matrix and produce a new matrix where one row has been replaced by the result of adding a mutiple of another row to it. This can be denoted R, - R; + aR; where a represents the multiplier and R; and R; refer to rows i and j. row_replace Function: Input parameters: • an m xn matrix A (note: the dimensions are not passed in) • two scalars which represent the rows i and j described above, respectively • a scalar which represents the multiplier a described above Output parameters: • a new matrix representing the resulting matrix from performing the de- sired row replacement operation on A A possible sample case is: >> mat_B = row_replace ([1:4 ; 2:5 ; 3:6 ; 4:7], 2, 3, -1) mat B = 1 3 4 -1 -1 -1 -1 4 6 4 5 6 7
Transcribed Image Text:(Row Replacement) Another very common row operation from linear algebra is the row replacement operation. With this operation, we begin with an original matrix and produce a new matrix where one row has been replaced by the result of adding a mutiple of another row to it. This can be denoted R, - R; + aR; where a represents the multiplier and R; and R; refer to rows i and j. row_replace Function: Input parameters: • an m xn matrix A (note: the dimensions are not passed in) • two scalars which represent the rows i and j described above, respectively • a scalar which represents the multiplier a described above Output parameters: • a new matrix representing the resulting matrix from performing the de- sired row replacement operation on A A possible sample case is: >> mat_B = row_replace ([1:4 ; 2:5 ; 3:6 ; 4:7], 2, 3, -1) mat B = 1 3 4 -1 -1 -1 -1 4 6 4 5 6 7
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