Optimization: rename Output to Result

src/Numerics/Numerics.csproj

@@ -127,12 +127,12 @@
     <Compile Include="Optimization\ObjectiveFunctions\GradientObjectiveFunction.cs" />
     <Compile Include="Optimization\ObjectiveFunctions\GradientHessianObjectiveFunction.cs" />
     <Compile Include="Optimization\IObjectiveFunction.cs" />
-    <Compile Include="Optimization\Implementation\LineSearchOutput.cs" />
+    <Compile Include="Optimization\Implementation\LineSearchResult.cs" />
     <Compile Include="Optimization\Implementation\CheckedObjectiveFunction.cs" />
     <Compile Include="Optimization\Implementation\WeakWolfeLineSearch.cs" />
     <Compile Include="Optimization\IUnconstrainedMinimizer.cs" />
-    <Compile Include="Optimization\MinimizationOutput.cs" />
+    <Compile Include="Optimization\MinimizationResult.cs" />
-    <Compile Include="Optimization\MinimizationWithLineSearchOutput.cs" />
+    <Compile Include="Optimization\MinimizationWithLineSearchResult.cs" />
     <Compile Include="Optimization\NewtonMinimizer.cs" />
     <Compile Include="Precision.Comparison.cs" />
     <Compile Include="Precision.Equality.cs" />

src/Numerics/Optimization/IUnconstrainedMinimizer.cs

@@ -4,6 +4,6 @@ namespace MathNet.Numerics.Optimization
 {
     public interface IUnconstrainedMinimizer
     {
-        MinimizationOutput FindMinimum(IObjectiveFunction objective, Vector<double> initialGuess);
+        MinimizationResult FindMinimum(IObjectiveFunction objective, Vector<double> initialGuess);
     }
 }

src/Numerics/Optimization/Implementation/LineSearchOutput.cs → src/Numerics/Optimization/Implementation/LineSearchResult.cs

@@ -1,10 +1,10 @@
 namespace MathNet.Numerics.Optimization.Implementation
 {
-    public class LineSearchOutput : MinimizationOutput
+    public class LineSearchResult : MinimizationResult
     {
         public double FinalStep { get; private set; }
 
-        public LineSearchOutput(IObjectiveFunction functionInfo, int iterations, double finalStep, ExitCondition reasonForExit)
+        public LineSearchResult(IObjectiveFunction functionInfo, int iterations, double finalStep, ExitCondition reasonForExit)
             : base(functionInfo, iterations, reasonForExit)
         {
             FinalStep = finalStep;

src/Numerics/Optimization/Implementation/WeakWolfeLineSearch.cs

@@ -19,7 +19,7 @@ namespace MathNet.Numerics.Optimization.Implementation
         }
 
         // Implemented following http://www.math.washington.edu/~burke/crs/408/lectures/L9-weak-Wolfe.pdf
-        public LineSearchOutput FindConformingStep(IObjectiveFunctionEvaluation startingPoint, Vector<double> searchDirection, double initialStep)
+        public LineSearchResult FindConformingStep(IObjectiveFunctionEvaluation startingPoint, Vector<double> searchDirection, double initialStep)
         {
             double lowerBound = 0.0;
             double upperBound = Double.PositiveInfinity;
@@ -33,7 +33,7 @@ namespace MathNet.Numerics.Optimization.Implementation
 
             var objective = startingPoint.CreateNew();
             int ii;
-            MinimizationOutput.ExitCondition reasonForExit = MinimizationOutput.ExitCondition.None;
+            MinimizationResult.ExitCondition reasonForExit = MinimizationResult.ExitCondition.None;
             for (ii = 0; ii < _maximumIterations; ++ii)
             {
                 objective.EvaluateAt(initialPoint + searchDirection * step);
@@ -54,7 +54,7 @@ namespace MathNet.Numerics.Optimization.Implementation
                 }
                 else
                 {
-                    reasonForExit = MinimizationOutput.ExitCondition.WeakWolfeCriteria;
+                    reasonForExit = MinimizationResult.ExitCondition.WeakWolfeCriteria;
                     break;
                 }
 
@@ -68,7 +68,7 @@ namespace MathNet.Numerics.Optimization.Implementation
                     }
                     if (maxRelChange < _parameterTolerance)
                     {
-                        reasonForExit = MinimizationOutput.ExitCondition.LackOfProgress;
+                        reasonForExit = MinimizationResult.ExitCondition.LackOfProgress;
                         break;
                     }
                 }
@@ -84,7 +84,7 @@ namespace MathNet.Numerics.Optimization.Implementation
                 throw new MaximumIterationsException(String.Format("Maximum iterations ({0}) reached.", _maximumIterations));
             }
 
-            return new LineSearchOutput(objective, ii, step, reasonForExit);
+            return new LineSearchResult(objective, ii, step, reasonForExit);
         }
 
         bool Conforms(IObjectiveFunction startingPoint, Vector<double> searchDirection, double step, IObjectiveFunction endingPoint)

src/Numerics/Optimization/MinimizationOutput.cs → src/Numerics/Optimization/MinimizationResult.cs

@@ -2,7 +2,7 @@
 
 namespace MathNet.Numerics.Optimization
 {
-    public class MinimizationOutput
+    public class MinimizationResult
     {
         public enum ExitCondition
         {
@@ -21,7 +21,7 @@ namespace MathNet.Numerics.Optimization
         public int Iterations { get; private set; }
         public ExitCondition ReasonForExit { get; private set; }
 
-        public MinimizationOutput(IObjectiveFunction functionInfo, int iterations, ExitCondition reasonForExit)
+        public MinimizationResult(IObjectiveFunction functionInfo, int iterations, ExitCondition reasonForExit)
         {
             FunctionInfoAtMinimum = functionInfo;
             Iterations = iterations;

src/Numerics/Optimization/MinimizationWithLineSearchOutput.cs → src/Numerics/Optimization/MinimizationWithLineSearchResult.cs

@@ -1,11 +1,11 @@
 namespace MathNet.Numerics.Optimization
 {
-    public class MinimizationWithLineSearchOutput : MinimizationOutput
+    public class MinimizationWithLineSearchResult : MinimizationResult
     {
         public int TotalLineSearchIterations { get; private set; }
         public int IterationsWithNonTrivialLineSearch { get; private set; }
 
-        public MinimizationWithLineSearchOutput(IObjectiveFunction functionInfo, int iterations, ExitCondition reasonForExit, int totalLineSearchIterations, int iterationsWithNonTrivialLineSearch)
+        public MinimizationWithLineSearchResult(IObjectiveFunction functionInfo, int iterations, ExitCondition reasonForExit, int totalLineSearchIterations, int iterationsWithNonTrivialLineSearch)
             : base(functionInfo, iterations, reasonForExit)
         {
             TotalLineSearchIterations = totalLineSearchIterations;

src/Numerics/Optimization/NewtonMinimizer.cs

@@ -1,7 +1,6 @@
 using System;
 using MathNet.Numerics.LinearAlgebra;
 using MathNet.Numerics.Optimization.Implementation;
-using LU = MathNet.Numerics.LinearAlgebra.Factorization.LU<double>;
 
 namespace MathNet.Numerics.Optimization
 {
@@ -18,7 +17,7 @@ namespace MathNet.Numerics.Optimization
             UseLineSearch = useLineSearch;
         }
 
-        public MinimizationOutput FindMinimum(IObjectiveFunction objective, Vector<double> initialGuess)
+        public MinimizationResult FindMinimum(IObjectiveFunction objective, Vector<double> initialGuess)
         {
             if (!objective.IsGradientSupported)
             {
@@ -35,7 +34,7 @@ namespace MathNet.Numerics.Optimization
             ValidateGradient(objective);
             if (ExitCriteriaSatisfied(objective.Gradient))
             {
-                return new MinimizationOutput(objective, 0, MinimizationOutput.ExitCondition.AbsoluteGradient);
+                return new MinimizationResult(objective, 0, MinimizationResult.ExitCondition.AbsoluteGradient);
             }
 
             // Set up line search algorithm
@@ -59,7 +58,7 @@ namespace MathNet.Numerics.Optimization
 
                 if (UseLineSearch || tmpLineSearch)
                 {
-                    LineSearchOutput result;
+                    LineSearchResult result;
                     try
                     {
                         result = lineSearcher.FindConformingStep(objective, searchDirection, 1.0);
@@ -89,7 +88,7 @@ namespace MathNet.Numerics.Optimization
                 throw new MaximumIterationsException(String.Format("Maximum iterations ({0}) reached.", MaximumIterations));
             }
 
-            return new MinimizationWithLineSearchOutput(objective, iterations, MinimizationOutput.ExitCondition.AbsoluteGradient, totalLineSearchSteps, iterationsWithNontrivialLineSearch);
+            return new MinimizationWithLineSearchResult(objective, iterations, MinimizationResult.ExitCondition.AbsoluteGradient, totalLineSearchSteps, iterationsWithNontrivialLineSearch);
         }
 
         bool ExitCriteriaSatisfied(Vector<double> gradient)