diff --git a/lib/node_modules/@stdlib/blas/base/dznrm2/test/test.ndarray.js b/lib/node_modules/@stdlib/blas/base/dznrm2/test/test.ndarray.js
index d1b7b4acd2c..2657e8fc721 100644
--- a/lib/node_modules/@stdlib/blas/base/dznrm2/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/blas/base/dznrm2/test/test.ndarray.js
@@ -105,6 +105,86 @@ tape( 'the function computes the L2-norm', function test( t ) {
 
 	actual = dznrm2( 3, zx, 1, 0 );
 	isApprox( t, actual, expected, 2.0 );
+
+	// Checked on Wolfram Alpha:
+	zx = new Complex128Array([
+		1e150,  // 1
+		1e150,  // 1
+		1e150,  // 2
+		1e150,  // 2
+		1e150,  // 3
+		1e150,  // 3
+		1e150,  // 4
+		1e150   // 4
+	]);
+	expected = 2.82842e+150;
+
+	actual = dznrm2( 4, zx, 1, 0 );
+	isApprox( t, actual, expected, 2.0 );
+
+	// Checked on Wolfram Alpha:
+	zx = new Complex128Array([
+		1e-155,  // 1
+		1e-155,  // 1
+		1e-155,  // 2
+		1e-155,  // 2
+		1e-155,  // 3
+		1e-155,  // 3
+		1e-155,  // 4
+		1e-155   // 4
+	]);
+	expected = 2.82843e-155;
+
+	actual = dznrm2( 4, zx, 1, 0 );
+	isApprox( t, actual, expected, 2.0 );
+
+	// Checked on Wolfram Alpha:
+	zx = new Complex128Array([
+		1e150, // 1
+		1e50,  // 1
+		1e150, // 2
+		1e50,  // 2
+		1e150, // 3
+		1e50,  // 3
+		1e150, // 4
+		1e50   // 4
+	]);
+	expected = 2.00000e150;
+
+	actual = dznrm2( 4, zx, 1, 0 );
+	isApprox( t, actual, expected, 2.0 );
+
+	// Checked on Wolfram Alpha:
+	zx = new Complex128Array([
+		1e-155, // 1
+		1e50,   // 1
+		1e-155, // 2
+		1e50,   // 2
+		1e-155, // 3
+		1e50,   // 3
+		1e-155, // 4
+		1e50    // 4
+	]);
+	expected = 2.00000e50;
+
+	actual = dznrm2( 4, zx, 1, 0 );
+	isApprox( t, actual, expected, 2.0 );
+
+	// Checked on Wolfram Alpha:
+	zx = new Complex128Array([
+		1.4e-154,                // 1
+		1.5e-154,                // 1
+		1.4e-154,                // 2
+		1.5e-154,                // 2
+		1.4e-154,                // 3
+		0,                       // 3
+		1.4e-154,                // 4
+		0                        // 4
+	]);
+	expected = 3.51283e-154;
+
+	actual = dznrm2( 4, zx, 1, 0 );
+	isApprox( t, actual, expected, 2.0 );
 	t.end();
 });
 
diff --git a/lib/node_modules/@stdlib/blas/base/scnrm2/test/test.ndarray.js b/lib/node_modules/@stdlib/blas/base/scnrm2/test/test.ndarray.js
index 212ba463817..d864d9b3e8d 100644
--- a/lib/node_modules/@stdlib/blas/base/scnrm2/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/blas/base/scnrm2/test/test.ndarray.js
@@ -105,6 +105,86 @@ tape( 'the function computes the L2-norm', function test( t ) {
 
 	actual = scnrm2( 3, cx, 1, 0 );
 	isApprox( t, actual, expected, 2.0 );
+
+	// Checked on Wolfram Alpha:
+	cx = new Complex64Array([
+		5e+15, // 1
+		5e+15, // 1
+		5e+15, // 2
+		5e+15, // 2
+		5e+15, // 3
+		5e+15, // 3
+		5e+15, // 4
+		5e+15  // 4
+	]);
+	expected = 14142135623730952;
+
+	actual = scnrm2( 4, cx, 1, 0 );
+	isApprox( t, actual, expected, 2.0 );
+
+	// Checked on Wolfram Alpha:
+	cx = new Complex64Array([
+		1e-20, // 1
+		1e-20, // 1
+		1e-20, // 2
+		1e-20, // 2
+		1e-20, // 3
+		1e-20, // 3
+		1e-20, // 4
+		1e-20  // 4
+	]);
+	expected = 2.82843e-20;
+
+	actual = scnrm2( 4, cx, 1, 0 );
+	isApprox( t, actual, expected, 2.0 );
+
+	// Checked on Wolfram Alpha:
+	cx = new Complex64Array([
+		1e20, // 1
+		1e10, // 1
+		1e20, // 2
+		1e10, // 2
+		1e20, // 3
+		1e10, // 3
+		1e20, // 4
+		1e10  // 4
+	]);
+	expected = 200000000000000000000;
+
+	actual = scnrm2( 4, cx, 1, 0 );
+	isApprox( t, actual, expected, 2.0 );
+
+	// Checked on Wolfram Alpha:
+	cx = new Complex64Array([
+		1e-20, // 1
+		1e10,  // 1
+		1e-20, // 2
+		1e10,  // 2
+		1e-20, // 3
+		1e10,  // 3
+		1e-20, // 4
+		1e10   // 4
+	]);
+	expected = 20000000000;
+
+	actual = scnrm2( 4, cx, 1, 0 );
+	isApprox( t, actual, expected, 2.0 );
+
+	// Checked on Wolfram Alpha:
+	cx = new Complex64Array([
+		1e-19,          // 1
+		1.08420217e-19, // 1
+		1e-19,          // 2
+		1.08420217e-19, // 2
+		1e-19,          // 3
+		0,              // 3
+		1e-19,          // 4
+		0               // 4
+	]);
+	expected = 2.52012e-19;
+
+	actual = scnrm2( 4, cx, 1, 0 );
+	isApprox( t, actual, expected, 2.0 );
 	t.end();
 });