diff --git a/lapack/testlapack/dpttrf.go b/lapack/testlapack/dpttrf.go
index 7b90a2db5..4cd80184b 100644
--- a/lapack/testlapack/dpttrf.go
+++ b/lapack/testlapack/dpttrf.go
@@ -10,6 +10,8 @@ import (
 	"testing"
 
 	"golang.org/x/exp/rand"
+
+	"gonum.org/v1/gonum/lapack"
 )
 
 type Dpttrfer interface {
@@ -75,19 +77,18 @@ func dpttrfResidual(n int, d, e, dFac, eFac []float64) float64 {
 	}
 
 	// Compute the 1-norm of the difference L*D*Lᵀ - A.
-	var anorm, resid float64
+	var resid float64
 	if n == 1 {
-		anorm = d[0]
 		resid = math.Abs(dDiff[0])
 	} else {
-		anorm = math.Max(d[0]+math.Abs(e[0]), d[n-1]+math.Abs(e[n-2]))
 		resid = math.Max(math.Abs(dDiff[0])+math.Abs(eDiff[0]), math.Abs(dDiff[n-1])+math.Abs(eDiff[n-2]))
 		for i := 1; i < n-1; i++ {
-			anorm = math.Max(anorm, d[i]+math.Abs(e[i])+math.Abs(e[i-1]))
 			resid = math.Max(resid, math.Abs(dDiff[i])+math.Abs(eDiff[i-1])+math.Abs(eDiff[i]))
 		}
 	}
 
+	anorm := dlanst(lapack.MaxColumnSum, n, d, e)
+
 	// Compute norm(L*D*Lᵀ - A)/(n * norm(A)).
 	if anorm == 0 {
 		if resid != 0 {
diff --git a/lapack/testlapack/locallapack.go b/lapack/testlapack/locallapack.go
index 197330be5..3934b3411 100644
--- a/lapack/testlapack/locallapack.go
+++ b/lapack/testlapack/locallapack.go
@@ -677,3 +677,39 @@ func dlantb(norm lapack.MatrixNorm, uplo blas.Uplo, diag blas.Diag, n, k int, a
 	}
 	return value
 }
+
+func dlanst(norm lapack.MatrixNorm, n int, d, e []float64) float64 {
+	if n == 0 {
+		return 0
+	}
+	var value float64
+	switch norm {
+	case lapack.MaxAbs:
+		if n == 1 {
+			value = math.Abs(d[0])
+		} else {
+			for _, di := range d[:n] {
+				value = math.Max(value, math.Abs(di))
+			}
+			for _, ei := range e[:n-1] {
+				value = math.Max(value, math.Abs(ei))
+			}
+		}
+	case lapack.MaxColumnSum, lapack.MaxRowSum:
+		if n == 1 {
+			value = math.Abs(d[0])
+		} else {
+			value = math.Abs(d[0]) + math.Abs(e[0])
+			value = math.Max(value, math.Abs(d[n-1])+math.Abs(e[n-2]))
+			for i := 1; i < n-1; i++ {
+				sum := math.Abs(d[i]) + math.Abs(e[i]) + math.Abs(e[i-1])
+				value = math.Max(value, sum)
+			}
+		}
+	case lapack.Frobenius:
+		panic("not implemented")
+	default:
+		panic("invalid norm")
+	}
+	return value
+}