<sectionid="description"> Escriba una función para resolver \ (Ax = b \) usando la eliminación de Gauss y luego la sustitución hacia atrás. \ (A \) siendo una matriz \ (n \ veces n \). Además, \ (x \) y \ (b \) son \ (n \) por 1 vectores. Para mejorar la precisión, use pivote parcial y escalado. </section>
testString: 'assert(Array.isArray(gaussianElimination(tests[0][0],tests[0][1])),"<code>gaussianElimination("+JSON.stringify(tests[0][0])+","+JSON.stringify(tests[0][1])+")</code> should return an array.");'
testString: 'assert.deepEqual(gaussianElimination(tests[0][0],tests[0][1]),results[0],"<code>gaussianElimination("+JSON.stringify(tests[0][0])+","+JSON.stringify(tests[0][1])+")</code> should return <code>"+JSON.stringify(results[0])+"</code>.");'
testString: 'assert.deepEqual(gaussianElimination(tests[1][0],tests[1][1]),results[1],"<code>gaussianElimination("+JSON.stringify(tests[1][0])+","+JSON.stringify(tests[1][1])+")</code> should return <code>"+JSON.stringify(results[1])+"</code>.");'
testString: 'assert.deepEqual(gaussianElimination(tests[2][0],tests[2][1]),results[2],"<code>gaussianElimination("+JSON.stringify(tests[2][0])+","+JSON.stringify(tests[2][1])+")</code> should return <code>"+JSON.stringify(results[2])+"</code>.");'
testString: 'assert.deepEqual(gaussianElimination(tests[3][0],tests[3][1]),results[3],"<code>gaussianElimination("+JSON.stringify(tests[3][0])+","+JSON.stringify(tests[3][1])+")</code> should return <code>"+JSON.stringify(results[3])+"</code>.");'
testString: 'assert.deepEqual(gaussianElimination(tests[4][0],tests[4][1]),results[4],"<code>gaussianElimination("+JSON.stringify(tests[4][0])+","+JSON.stringify(tests[4][1])+")</code> should return <code>"+JSON.stringify(results[4])+"</code>.");'