diff --git a/src/Numerics/Optimization/BfgsMinimizer.cs b/src/Numerics/Optimization/BfgsMinimizer.cs
index 45ed0209..9b954b79 100644
--- a/src/Numerics/Optimization/BfgsMinimizer.cs
+++ b/src/Numerics/Optimization/BfgsMinimizer.cs
@@ -146,19 +146,19 @@ namespace MathNet.Numerics.Optimization
 			return ExitCondition.None;
         }
 
-        private void ValidateGradient(Vector<double> gradient, Vector<double> input)
+        private void ValidateGradient(IEvaluation eval)
         {
-            foreach (var x in gradient)
+            foreach (var x in eval.Gradient)
             {
                 if (Double.IsNaN(x) || Double.IsInfinity(x))
-                    throw new EvaluationException("Non-finite gradient returned.",input);
+                    throw new EvaluationException("Non-finite gradient returned.", eval);
             }
         }
 
-        private void ValidateObjective(double objective, Vector<double> input)
+        private void ValidateObjective(IEvaluation eval)
         {
-            if (Double.IsNaN(objective) || Double.IsInfinity(objective))
-                throw new EvaluationException("Non-finite objective function returned.", input);
+            if (Double.IsNaN(eval.Value) || Double.IsInfinity(eval.Value))
+                throw new EvaluationException("Non-finite objective function returned.", eval);
         }
     }
 }
diff --git a/src/Numerics/Optimization/ConjugateGradientMinimizer.cs b/src/Numerics/Optimization/ConjugateGradientMinimizer.cs
index bd123256..3bcc509f 100644
--- a/src/Numerics/Optimization/ConjugateGradientMinimizer.cs
+++ b/src/Numerics/Optimization/ConjugateGradientMinimizer.cs
@@ -114,19 +114,19 @@ namespace MathNet.Numerics.Optimization
             return gradient.Norm(2.0) < this.GradientTolerance;
         }
 
-        private void ValidateGradient(Vector<double> gradient, Vector<double> input)
+        private void ValidateGradient(IEvaluation eval)
         {
-            foreach (var x in gradient)
+            foreach (var x in eval.Gradient)
             {
                 if (Double.IsNaN(x) || Double.IsInfinity(x))
-                    throw new EvaluationException("Non-finite gradient returned.", input);
+                    throw new EvaluationException("Non-finite gradient returned.", eval);
             }
         }
 
-        private void ValidateObjective(double objective, Vector<double> input)
+        private void ValidateObjective(IEvaluation eval)
         {
-            if (Double.IsNaN(objective) || Double.IsInfinity(objective))
-                throw new EvaluationException("Non-finite objective function returned.", input);
+            if (Double.IsNaN(eval.Value) || Double.IsInfinity(eval.Value))
+                throw new EvaluationException("Non-finite objective function returned.", eval);
         }
     }
 }
diff --git a/src/Numerics/Optimization/Exceptions.cs b/src/Numerics/Optimization/Exceptions.cs
index c9c94f5b..aab4f690 100644
--- a/src/Numerics/Optimization/Exceptions.cs
+++ b/src/Numerics/Optimization/Exceptions.cs
@@ -24,24 +24,32 @@ namespace MathNet.Numerics.Optimization
 
     public class EvaluationException : OptimizationException
     {
-        public Vector<double> Point { get; private set; }
-        public EvaluationException(string message, Vector<double> point)
-            : base(message) 
+        public IEvaluation Evaluation { get; private set; }
+
+        public EvaluationException(string message, IEvaluation eval)
+            : base(message)
+        {
+            this.Evaluation = eval;
+        }
+
+        public EvaluationException(string message, IEvaluation eval, Exception inner_exception)
+            : base(message, inner_exception)
         {
-            this.Point = point;
+            this.Evaluation = eval;
         }
 
-        public EvaluationException(string message, double point)
+        public EvaluationException(string message, IEvaluation1D eval)
             : base(message)
         {
-            this.Point = DenseVector.Create(1, point);
+            this.Evaluation = new OneDEvaluationExpander(eval);
         }
 
-        public EvaluationException(string message, Exception inner_exception, Vector<double> point) 
-            : base(message, inner_exception) 
+        public EvaluationException(string message, IEvaluation1D eval, Exception inner_exception)
+            : base(message, inner_exception)
         {
-            this.Point = point;
+            this.Evaluation = new OneDEvaluationExpander(eval);
         }
+
     }
 
     public class InnerOptimizationException : OptimizationException
diff --git a/src/Numerics/Optimization/GoldenSectionMinimizer.cs b/src/Numerics/Optimization/GoldenSectionMinimizer.cs
index 9f9cd81b..22455350 100644
--- a/src/Numerics/Optimization/GoldenSectionMinimizer.cs
+++ b/src/Numerics/Optimization/GoldenSectionMinimizer.cs
@@ -63,10 +63,10 @@ namespace MathNet.Numerics.Optimization
             
         }
 
-        private void ValueChecker(double value, double point)
+        private void ValueChecker(IEvaluation1D eval)
         {
-            if (Double.IsNaN(value) || Double.IsInfinity(value))
-                throw new EvaluationException("Objective function returned non-finite value.", point);
+            if (Double.IsNaN(eval.Value) || Double.IsInfinity(eval.Value))
+                throw new EvaluationException("Objective function returned non-finite value.", eval);
         }
         private static double _golden_ratio = (1.0 + Math.Sqrt(5)) / 2.0;
     }
diff --git a/src/Numerics/Optimization/NewtonMinimizer.cs b/src/Numerics/Optimization/NewtonMinimizer.cs
index 3e10affa..c6b329ad 100644
--- a/src/Numerics/Optimization/NewtonMinimizer.cs
+++ b/src/Numerics/Optimization/NewtonMinimizer.cs
@@ -98,29 +98,29 @@ namespace MathNet.Numerics.Optimization
             return gradient.Norm(2.0) < this.GradientTolerance;
         }
 
-        private void ValidateGradient(Vector<double> gradient, Vector<double> input)
+        private void ValidateGradient(IEvaluation eval)
         {
-            foreach (var x in gradient)
+            foreach (var x in eval.Gradient)
             {
                 if (Double.IsNaN(x) || Double.IsInfinity(x))
-                    throw new EvaluationException("Non-finite gradient returned.", input);
+                    throw new EvaluationException("Non-finite gradient returned.", eval);
             }
         }
 
-        private void ValidateObjective(double objective, Vector<double> input)
+        private void ValidateObjective(IEvaluation eval)
         {
-            if (Double.IsNaN(objective) || Double.IsInfinity(objective))
-                throw new EvaluationException("Non-finite objective function returned.", input);
+            if (Double.IsNaN(eval.Value) || Double.IsInfinity(eval.Value))
+                throw new EvaluationException("Non-finite objective function returned.", eval);
         }
 
-        private void ValidateHessian(Matrix<double> hessian, Vector<double> input)
+        private void ValidateHessian(IEvaluation eval)
         {
-            for (int ii = 0; ii < hessian.RowCount; ++ii)
+            for (int ii = 0; ii < eval.Hessian.RowCount; ++ii)
             {
-                for (int jj = 0; jj < hessian.ColumnCount; ++jj)
+                for (int jj = 0; jj < eval.Hessian.ColumnCount; ++jj)
                 {
-                    if (Double.IsNaN(hessian[ii,jj]) || Double.IsInfinity(hessian[ii,jj]))
-                        throw new EvaluationException("Non-finite Hessian returned.", input);
+                    if (Double.IsNaN(eval.Hessian[ii,jj]) || Double.IsInfinity(eval.Hessian[ii,jj]))
+                        throw new EvaluationException("Non-finite Hessian returned.", eval);
                 }
             }
         }
diff --git a/src/Numerics/Optimization/ObjectiveChecker.cs b/src/Numerics/Optimization/ObjectiveChecker.cs
index f80c5881..53e9a011 100644
--- a/src/Numerics/Optimization/ObjectiveChecker.cs
+++ b/src/Numerics/Optimization/ObjectiveChecker.cs
@@ -24,6 +24,7 @@ namespace MathNet.Numerics.Optimization
         {
             get { return this.InnerEvaluation.Point; }
         }
+        public EvaluationStatus Status { get { return this.InnerEvaluation.Status; } }
 
         public double Value
         {
@@ -39,9 +40,9 @@ namespace MathNet.Numerics.Optimization
                     }
                     catch (Exception e)
                     {
-                        throw new EvaluationException("Objective function evaluation failed.", e, this.Point);
+                        throw new EvaluationException("Objective function evaluation failed.", this.InnerEvaluation, e);
                     }
-                    this.Checker.ValueChecker(tmp,this.InnerEvaluation.Point);
+                    this.Checker.ValueChecker(this.InnerEvaluation);
                 }
                 return this.InnerEvaluation.Value;
             }
@@ -61,9 +62,9 @@ namespace MathNet.Numerics.Optimization
                     }
                     catch (Exception e)
                     {
-                        throw new EvaluationException("Objective gradient evaluation failed.", e, this.Point);
+                        throw new EvaluationException("Objective gradient evaluation failed.", this.InnerEvaluation, e);
                     }
-                    this.Checker.GradientChecker(tmp, this.InnerEvaluation.Point);
+                    this.Checker.GradientChecker(this.InnerEvaluation);
                 }
                 return this.InnerEvaluation.Gradient;
             }
@@ -83,9 +84,9 @@ namespace MathNet.Numerics.Optimization
                     }
                     catch (Exception e)
                     {
-                        throw new EvaluationException("Objective hessian evaluation failed.", e, this.Point);
+                        throw new EvaluationException("Objective hessian evaluation failed.", this.InnerEvaluation, e);
                     }
-                    this.Checker.HessianChecker(tmp, this.InnerEvaluation.Point);
+                    this.Checker.HessianChecker(InnerEvaluation);
                 }
                 return this.InnerEvaluation.Hessian;
             }
@@ -95,11 +96,11 @@ namespace MathNet.Numerics.Optimization
     public class ObjectiveChecker : IObjectiveFunction
     {
         public IObjectiveFunction InnerObjective { get; private set; }
-        public Action<double, Vector<double>> ValueChecker { get; private set; }
-        public Action<Vector<double>, Vector<double>> GradientChecker { get; private set; }
-        public Action<Matrix<double>, Vector<double>> HessianChecker { get; private set; }
+        public Action<IEvaluation> ValueChecker { get; private set; }
+        public Action<IEvaluation> GradientChecker { get; private set; }
+        public Action<IEvaluation> HessianChecker { get; private set; }
 
-        public ObjectiveChecker(IObjectiveFunction objective, Action<double, Vector<double>> value_checker, Action<Vector<double>, Vector<double>> gradient_checker, Action<Matrix<double>, Vector<double>> hessian_checker)
+        public ObjectiveChecker(IObjectiveFunction objective, Action<IEvaluation> value_checker, Action<IEvaluation> gradient_checker, Action<IEvaluation> hessian_checker)
         {
             this.InnerObjective = objective;
             this.ValueChecker = value_checker;
@@ -125,7 +126,7 @@ namespace MathNet.Numerics.Optimization
             }
             catch (Exception e)
             {
-                throw new EvaluationException("Objective evaluation failed.", e, point);
+                throw new EvaluationException("Objective evaluation failed.", new NullEvaluation(point), e);
             }
         }
     }
diff --git a/src/Numerics/Optimization/ObjectiveChecker1D.cs b/src/Numerics/Optimization/ObjectiveChecker1D.cs
index 78484ec6..49c489cd 100644
--- a/src/Numerics/Optimization/ObjectiveChecker1D.cs
+++ b/src/Numerics/Optimization/ObjectiveChecker1D.cs
@@ -25,6 +25,8 @@ namespace MathNet.Numerics.Optimization
             get { return this.InnerEvaluation.Point; }
         }
 
+        public EvaluationStatus Status { get { return this.InnerEvaluation.Status; } }
+
         public double Value
         {
             get
@@ -39,9 +41,9 @@ namespace MathNet.Numerics.Optimization
                     }
                     catch (Exception e)
                     {
-                        throw new EvaluationException("Objective function evaluation failed.", e, DenseVector.Create(1, this.Point));
+                        throw new EvaluationException("Objective function evaluation failed.", this.InnerEvaluation, e);
                     }
-                    this.Checker.ValueChecker(tmp, this.InnerEvaluation.Point);
+                    this.Checker.ValueChecker(this.InnerEvaluation);
                 }
                 return this.InnerEvaluation.Value;
             }
@@ -61,9 +63,9 @@ namespace MathNet.Numerics.Optimization
                     }
                     catch (Exception e)
                     {
-                        throw new EvaluationException("Objective derivative evaluation failed.", e, DenseVector.Create(1, this.Point));
+                        throw new EvaluationException("Objective derivative evaluation failed.", this.InnerEvaluation, e);
                     }
-                    this.Checker.DerivativeChecker(tmp, this.InnerEvaluation.Point);
+                    this.Checker.DerivativeChecker(this.InnerEvaluation);
                 }
                 return this.InnerEvaluation.Derivative;
             }
@@ -83,9 +85,9 @@ namespace MathNet.Numerics.Optimization
                     }
                     catch (Exception e)
                     {
-                        throw new EvaluationException("Objective second derivative evaluation failed.", e, DenseVector.Create(1, this.Point));
+                        throw new EvaluationException("Objective second derivative evaluation failed.", this.InnerEvaluation, e);
                     }
-                    this.Checker.SecondDerivativeChecker(tmp, this.InnerEvaluation.Point);
+                    this.Checker.SecondDerivativeChecker(this.InnerEvaluation);
                 }
                 return this.InnerEvaluation.SecondDerivative;
             }
@@ -95,11 +97,11 @@ namespace MathNet.Numerics.Optimization
     public class ObjectiveChecker1D : IObjectiveFunction1D
     {
         public IObjectiveFunction1D InnerObjective { get; private set; }
-        public Action<double, double> ValueChecker { get; private set; }
-        public Action<double, double> DerivativeChecker { get; private set; }
-        public Action<double, double> SecondDerivativeChecker { get; private set; }
+        public Action<IEvaluation1D> ValueChecker { get; private set; }
+        public Action<IEvaluation1D> DerivativeChecker { get; private set; }
+        public Action<IEvaluation1D> SecondDerivativeChecker { get; private set; }
 
-        public ObjectiveChecker1D(IObjectiveFunction1D objective, Action<double, double> value_checker, Action<double, double> gradient_checker, Action<double, double> hessian_checker)
+        public ObjectiveChecker1D(IObjectiveFunction1D objective, Action<IEvaluation1D> value_checker, Action<IEvaluation1D> gradient_checker, Action<IEvaluation1D> hessian_checker)
         {
             this.InnerObjective = objective;
             this.ValueChecker = value_checker;
@@ -125,7 +127,7 @@ namespace MathNet.Numerics.Optimization
             }
             catch (Exception e)
             {
-                throw new EvaluationException("Objective evaluation failed.", e, DenseVector.Create(1, point));
+                throw new EvaluationException("Objective evaluation failed.", new NullEvaluation(point), e);
             }
         }
     }
diff --git a/src/Numerics/Optimization/ObjectiveFunction.cs b/src/Numerics/Optimization/ObjectiveFunction.cs
index 342c69a3..6c91c694 100644
--- a/src/Numerics/Optimization/ObjectiveFunction.cs
+++ b/src/Numerics/Optimization/ObjectiveFunction.cs
@@ -4,12 +4,17 @@ using System.Linq;
 using System.Text;
 
 using MathNet.Numerics.LinearAlgebra;
+using MathNet.Numerics.LinearAlgebra.Double;
 
 namespace MathNet.Numerics.Optimization
 {
+    [Flags]
+    public enum EvaluationStatus { None = 0, Value = 1, Gradient = 2, Hessian = 4 }
+
     public interface IEvaluation
     {
-        Vector<double> Point { get; }        
+        Vector<double> Point { get; }
+        EvaluationStatus Status { get; }
         double Value { get; }
         Vector<double> Gradient { get; }
         Matrix<double> Hessian { get; }
@@ -24,18 +29,30 @@ namespace MathNet.Numerics.Optimization
 
     public abstract class BaseEvaluation : IEvaluation
     {
+        protected EvaluationStatus _status;
         protected double? _value;
         protected Vector<double> _gradient;
         protected Matrix<double> _hessian;
         protected Vector<double> _point;
         
         public Vector<double> Point { get { return _point; } }
+
+        protected BaseEvaluation()
+        {
+            _status = EvaluationStatus.None;
+        }
+
+        public EvaluationStatus Status { get { return _status; } }
+
         public double Value 
         { 
             get 
             {
                 if (!_value.HasValue)
+                {
                     setValue();
+                    _status |= EvaluationStatus.Value;
+                }
                 return _value.Value; 
             } 
         }
@@ -44,7 +61,10 @@ namespace MathNet.Numerics.Optimization
             get 
             {
                 if (_gradient == null)
+                {
                     setGradient();
+                    _status |= EvaluationStatus.Gradient;
+                }
                 return _gradient; 
             } 
         }
@@ -53,7 +73,10 @@ namespace MathNet.Numerics.Optimization
             get
             {
                 if (_hessian == null)
+                {
                     setHessian();
+                    _status |= EvaluationStatus.Hessian;
+                }
                 return _hessian; 
             } 
         }
@@ -64,40 +87,96 @@ namespace MathNet.Numerics.Optimization
     }
 
 
-    public class CachedEvaluation : IEvaluation
+    public class NullEvaluation : BaseEvaluation
+    {
+
+        public NullEvaluation(Vector<double> point)
+        {
+            _point = point;
+            _status = EvaluationStatus.None;
+        }
+
+        public NullEvaluation(double point)
+        {
+            _point = DenseVector.Create(1, point);
+            _status = EvaluationStatus.None;
+        }
+
+        protected override void setValue()
+        {
+            throw new NotImplementedException();
+        }
+
+        protected override void setGradient()
+        {
+            throw new NotImplementedException();
+        }
+
+        protected override void setHessian()
+        {
+            throw new NotImplementedException();
+        }
+    }
+
+    public class OneDEvaluationExpander : IEvaluation
+    {
+        public IEvaluation1D InnerEval { get; private set; }
+        public OneDEvaluationExpander(IEvaluation1D eval)
+        {
+            this.InnerEval = eval;
+        }
+
+
+        public Vector<double> Point
+        {
+            get { return DenseVector.Create(1,this.InnerEval.Point); }
+        }
+
+        public EvaluationStatus Status
+        {
+            get { return this.InnerEval.Status; }
+        }
+
+        public double Value
+        {
+            get { return this.InnerEval.Value; }
+        }
+
+        public Vector<double> Gradient
+        {
+            get { return DenseVector.Create(1,this.InnerEval.Derivative) ; }
+        }
+
+        public Matrix<double> Hessian
+        {
+            get { return DenseMatrix.Create(1,1,this.InnerEval.SecondDerivative); }
+        }
+    }
+
+    public class CachedEvaluation : BaseEvaluation
     {
-        private double? _value;
-        private Vector<double> _gradient;
-        private Matrix<double> _hessian;
         private SimpleObjectiveFunction _objective_object;
-        private Vector<double> _point;
 
         public CachedEvaluation(SimpleObjectiveFunction f, Vector<double> point)
         {
             _objective_object = f;
 			_point = point;
         }
-        private double setValue()
+
+        protected override void setValue()
         {
             _value = _objective_object.Objective(_point);
-            return _value.Value;
         }
-        private Vector<double> setGradient()
+
+        protected override void setGradient()
         {
             _gradient = _objective_object.Gradient(_point);
-            return _gradient;
         }
-        private Matrix<double> setHessian()
+
+        protected override void setHessian()
         {
             _hessian = _objective_object.Hessian(_point);
-            return _hessian;
         }
-
-        public Vector<double> Point { get { return _point; } }
-        public double Value { get { return _value ?? setValue(); } }
-        public Vector<double> Gradient { get { return _gradient ?? setGradient(); } }
-        public Matrix<double> Hessian { get { return _hessian ?? setHessian(); } }
-
     }
 
     public class SimpleObjectiveFunction : IObjectiveFunction
diff --git a/src/Numerics/Optimization/ObjectiveFunction1D.cs b/src/Numerics/Optimization/ObjectiveFunction1D.cs
index 8611eda4..339bf1b9 100644
--- a/src/Numerics/Optimization/ObjectiveFunction1D.cs
+++ b/src/Numerics/Optimization/ObjectiveFunction1D.cs
@@ -8,6 +8,7 @@ namespace MathNet.Numerics.Optimization
     public interface IEvaluation1D
     {
         double Point { get; }
+        EvaluationStatus Status { get; }
         double Value { get; }
         double Derivative { get; }
         double SecondDerivative { get; }
@@ -20,40 +21,86 @@ namespace MathNet.Numerics.Optimization
         IEvaluation1D Evaluate(double point);
     }
 
-    public class CachedEvaluation1D : IEvaluation1D
+    public abstract class BaseEvaluation1D : IEvaluation1D
+    {
+        protected double _point;
+        protected EvaluationStatus _status;
+        protected double? _value;
+        protected double? _derivative;
+        protected double? _second_derivative;
+
+        public double Point { get { return _point; } }
+
+        protected BaseEvaluation1D()
+        {
+            _status = EvaluationStatus.None;
+        }
+
+        public EvaluationStatus Status { get { return _status; } }
+
+        public double Value
+        {
+            get
+            {
+                if (!_value.HasValue)
+                {
+                    setValue();
+                    _status |= EvaluationStatus.Value;
+                }
+                return _value.Value;
+            }
+        }
+        public double Derivative
+        {
+            get
+            {
+                if (_derivative == null)
+                {
+                    setDerivative();
+                    _status |= EvaluationStatus.Gradient;
+                }
+                return _derivative.Value;
+            }
+        }
+        public double SecondDerivative
+        {
+            get
+            {
+                if (_second_derivative == null)
+                {
+                    setSecondDerivative();
+                    _status |= EvaluationStatus.Hessian;
+                }
+                return _second_derivative.Value;
+            }
+        }
+
+        protected abstract void setValue();
+        protected abstract void setDerivative();
+        protected abstract void setSecondDerivative();
+    }
+
+    public class CachedEvaluation1D : BaseEvaluation1D
     {
-        private double? _value;
-        private double? _derivative;
-        private double? _second_derivative;
         private SimpleObjectiveFunction1D _objective_object;
-        private double _point;
 
         public CachedEvaluation1D(SimpleObjectiveFunction1D f, double point)
         {
             _objective_object = f;
             _point = point;
         }
-        private double setValue()
+        protected override void setValue()
         {
             _value = _objective_object.Objective(_point);
-            return _value.Value;
         }
-        private double setDerivative()
+        protected override void setDerivative()
         {
             _derivative = _objective_object.Derivative(_point);
-            return _derivative.Value;
         }
-        private double setSecondDerivative()
+        protected override void setSecondDerivative()
         {
             _second_derivative = _objective_object.SecondDerivative(_point);
-            return _second_derivative.Value;
         }
-
-        public double Point { get { return _point; } }
-        public double Value { get { return _value ?? setValue(); } }
-        public double Derivative { get { return _derivative ?? setDerivative(); } }
-        public double SecondDerivative { get { return _second_derivative ?? setSecondDerivative(); } }
-
     }
 
     public class SimpleObjectiveFunction1D : IObjectiveFunction1D
diff --git a/src/Numerics/Optimization/WeakWolfeLineSearch.cs b/src/Numerics/Optimization/WeakWolfeLineSearch.cs
index 40133403..f7481154 100644
--- a/src/Numerics/Optimization/WeakWolfeLineSearch.cs
+++ b/src/Numerics/Optimization/WeakWolfeLineSearch.cs
@@ -96,18 +96,18 @@ namespace MathNet.Numerics.Optimization
             return step > 0 && sufficient_decrease && not_too_steep;
         }
 
-        private void ValidateValue(double value, Vector<double> input)
+        private void ValidateValue(IEvaluation eval)
         {
-            if (!this.IsFinite(value))
-                throw new EvaluationException(String.Format("Non-finite value returned by objective function: {0}", value),input);
+            if (!this.IsFinite(eval.Value))
+                throw new EvaluationException(String.Format("Non-finite value returned by objective function: {0}", eval.Value),eval);
         }
 
-        private void ValidateGradient(Vector<double> gradient, Vector<double> input)
+        private void ValidateGradient(IEvaluation eval)
         {
-            foreach (double x in gradient)
+            foreach (double x in eval.Gradient)
                 if (!this.IsFinite(x))
                 {
-                    throw new EvaluationException(String.Format("Non-finite value returned by gradient: {0}", x),input);
+                    throw new EvaluationException(String.Format("Non-finite value returned by gradient: {0}", x),eval);
                 }
         }