Optimization: update tests to use new BfgsMinimizer constructor

src/UnitTests/OptimizationTests/TestBfgsMinimizer.cs

@@ -41,7 +41,7 @@ namespace MathNet.Numerics.UnitTests.OptimizationTests
         public void FindMinimum_Rosenbrock_Easy()
         {
             var obj = new SimpleObjectiveFunction(RosenbrockFunction.Value, RosenbrockFunction.Gradient);
-            var solver = new BfgsMinimizer(1e-5, 1000);
+            var solver = new BfgsMinimizer(1e-5, 1e-5, 1000);
             var result = solver.FindMinimum(obj, new LinearAlgebra.Double.DenseVector(new[] { 1.2, 1.2 }));
 
             Assert.That(Math.Abs(result.MinimizingPoint[0] - 1.0), Is.LessThan(1e-3));
@@ -52,7 +52,7 @@ namespace MathNet.Numerics.UnitTests.OptimizationTests
         public void FindMinimum_Rosenbrock_Hard()
         {
             var obj = new SimpleObjectiveFunction(RosenbrockFunction.Value, RosenbrockFunction.Gradient);
-            var solver = new BfgsMinimizer(1e-5, 1000);
+            var solver = new BfgsMinimizer(1e-5, 1e-5, 1000);
             var result = solver.FindMinimum(obj, new LinearAlgebra.Double.DenseVector(new[] { -1.2, 1.0 }));
 
             Assert.That(Math.Abs(result.MinimizingPoint[0] - 1.0), Is.LessThan(1e-3));
@@ -63,7 +63,7 @@ namespace MathNet.Numerics.UnitTests.OptimizationTests
         public void FindMinimum_Rosenbrock_Overton()
         {
             var obj = new SimpleObjectiveFunction(RosenbrockFunction.Value, RosenbrockFunction.Gradient);
-            var solver = new BfgsMinimizer(1e-5, 1000);
+            var solver = new BfgsMinimizer(1e-5, 1e-5, 1000);
             var result = solver.FindMinimum(obj, new LinearAlgebra.Double.DenseVector(new[] { -0.9, -0.5 }));
 
             Assert.That(Math.Abs(result.MinimizingPoint[0] - 1.0), Is.LessThan(1e-3));