From 276b929f62bc6c88810486da4565082b9b2a8d83 Mon Sep 17 00:00:00 2001 From: yousvf <145223965+yousvf@users.noreply.github.com> Date: Thu, 31 Jul 2025 11:48:33 +0300 Subject: [PATCH] Update linear-system-gauss.md --- src/linear_algebra/linear-system-gauss.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/linear_algebra/linear-system-gauss.md b/src/linear_algebra/linear-system-gauss.md index 503a93b1f..ed05b5cf9 100644 --- a/src/linear_algebra/linear-system-gauss.md +++ b/src/linear_algebra/linear-system-gauss.md @@ -42,7 +42,7 @@ Strictly speaking, the method described below should be called "Gauss-Jordan", o The algorithm is a `sequential elimination` of the variables in each equation, until each equation will have only one remaining variable. If $n = m$, you can think of it as transforming the matrix $A$ to identity matrix, and solve the equation in this obvious case, where solution is unique and is equal to coefficient $b_i$. -Gaussian elimination is based on two simple transformation: +Gaussian elimination is based on two simple transformations: * It is possible to exchange two equations * Any equation can be replaced by a linear combination of that row (with non-zero coefficient), and some other rows (with arbitrary coefficients).