Updated the F# interface to comply with the October 2009 CTP.

Added a DenseMatrix constructor which references an array.

Signed-off-by: jvangael <jurgen.vangael@gmail.com>

src/FSharp/DenseMatrix.fs

@@ -49,9 +49,9 @@ module DenseMatrix =
         A
     
     /// Create a matrix from a list of float lists. Every list in the master list specifies a row.
-    let inline of_list (fll: float list list) =
+    let inline ofList (fll: float list list) =
         let n = List.length fll
-        let m = List.length (List.hd fll)
+        let m = List.length (List.head fll)
         let A = DenseMatrix(n,m)
         fll |> List.iteri (fun i fl ->
                             if (List.length fl) <> m then failwith "Each subrow must be of the same length." else
@@ -59,9 +59,9 @@ module DenseMatrix =
         A
     
     /// Create a matrix from a list of sequences. Every sequence in the master sequence specifies a row.
-    let inline of_seq (fss: #seq<#seq<float>>) =
+    let inline ofSeq (fss: #seq<#seq<float>>) =
         let n = Seq.length fss
-        let m = Seq.length (Seq.hd fss)
+        let m = Seq.length (Seq.head fss)
         let A = DenseMatrix(n,m)
         fss |> Seq.iteri (fun i fs ->
                             if (Seq.length fs) <> m then failwith "Each subrow must be of the same length." else
@@ -69,10 +69,10 @@ module DenseMatrix =
         A
 
     /// Create a matrix from a 2D array of floating point numbers.
-    let inline of_array2 (arr: float[,]) = new DenseMatrix(arr)
+    let inline ofArray2 (arr: float[,]) = new DenseMatrix(arr)
     
     /// Create a matrix with the given entries.
-    let inline init_dense (n: int) (m: int) (es: #seq<int * int * float>) =
+    let inline initDense (n: int) (m: int) (es: #seq<int * int * float>) =
         let A = new DenseMatrix(n,m)
         Seq.iter (fun (i,j,f) -> A.[i,j] <- f) es
         A

src/FSharp/DenseVector.fs

@@ -41,14 +41,14 @@ module DenseVector =
         v
 
     /// Create a vector from a float list.
-    let inline of_list (fl: float list) =
+    let inline ofList (fl: float list) =
         let n = List.length fl
         let v = Double.DenseVector(n)
         fl |> List.iteri (fun i f -> v.[i] <- f)
         v
     
     /// Create a vector from a sequences.
-    let inline of_seq (fs: #seq<float>) =
+    let inline ofSeq (fs: #seq<float>) =
         let n = Seq.length fs
         let v = DenseVector(n)
         fs |> Seq.iteri (fun i f -> v.[i] <- f)

src/FSharp/Main.fs

@@ -34,7 +34,7 @@ open MathNet.Numerics.LinearAlgebra.Double
 module FSharp =
 
     /// Construct a dense matrix from a list of floating point numbers.
-    let inline matrix (lst: list<list<float>>) = DenseMatrix.of_list lst :> Matrix
+    let inline matrix (lst: list<list<float>>) = DenseMatrix.ofList lst :> Matrix
 
     /// Construct a dense vector from a list of floating point numbers.
-    let inline vector (lst: list<float>) = DenseVector.of_list lst :> Vector
+    let inline vector (lst: list<float>) = DenseVector.ofList lst :> Vector

src/FSharp/Vector.fs

@@ -34,12 +34,12 @@ open MathNet.Numerics.LinearAlgebra
 module Vector =
         
     /// Transform a vector into an array.
-    let inline to_array (v: #Vector) =
+    let inline toArray (v: #Vector) =
         let n = v.Count
         Array.init n (fun i -> v.Item(i))
         
     /// Transform a vector into an array.
-    let inline to_list (v: #Vector) =
+    let inline toList (v: #Vector) =
         let n = v.Count
         List.init n (fun i -> v.Item(i))
 

src/FSharpExamples/Apply.fs

@@ -25,6 +25,7 @@
 // FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
 // OTHER DEALINGS IN THE SOFTWARE.
 // </copyright>
+module MathNet.Numerics.FSharp.Examples.Apply
 
 open MathNet.Numerics
 open MathNet.Numerics.LinearAlgebra.Double

src/FSharpExamples/DenseVector.fs

@@ -25,6 +25,7 @@
 // FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
 // OTHER DEALINGS IN THE SOFTWARE.
 // </copyright>
+module MathNet.Numerics.FSharp.Examples.DenseVector
 
 open MathNet.Numerics.FSharp
 open MathNet.Numerics.LinearAlgebra
@@ -36,7 +37,7 @@ let v = Double.DenseVector.init 100 (fun i -> float i / 100.0)
 let w = vector (List.init 100 (fun i -> float i ** 2.0))
 
 // Vectors can also be constructed from sequences.
-let t = Double.DenseVector.of_seq (seq { for i in 1 .. 100 do yield float i })
+let t = Double.DenseVector.ofSeq (seq { for i in 1 .. 100 do yield float i })
 
 // We can now add two vectors together ...
 let z = v + w

src/FSharpExamples/Histogram.fs

@@ -25,6 +25,7 @@
 // FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
 // OTHER DEALINGS IN THE SOFTWARE.
 // </copyright>
+module MathNet.Numerics.FSharp.Examples.Histogram
 
 open MathNet.Numerics.Statistics
 

src/FSharpUnitTests/FsUnit.fs

@@ -196,7 +196,7 @@ module SpecOps =
             (sprintf "NOT Expected: %A\nActual: %A" expected actual)
 
 module Results =
-    open Microsoft.FSharp.Text.Printf
+    open Microsoft.FSharp.Text
     
     let internal currentResults = new ResizeArray<string * Result>()
     
@@ -225,11 +225,11 @@ module Results =
         
     let summary () =
         let buff = new System.Text.StringBuilder()
-        bprintf buff "%d passed.\n%d failed.\n%d erred." (passedCount()) (failedCount()) (erredCount())
+        buff.AppendFormat("{0} passed.\n{1} failed.\n{2} erred.", passedCount(), failedCount(), erredCount()) |> ignore
         failed()
-        |> Seq.iter (function (lbl,Fail msg) -> bprintf buff "\n----\nFailed: %s\n%s" lbl msg | _ -> ())
+        |> Seq.iter (function (lbl,Fail msg) -> buff.AppendFormat("\n----\nFailed: {0}\n{1}", lbl, msg) |> ignore | _ -> ())
         erred()
-        |> Seq.iter (function (lbl,Error msg) -> bprintf buff "\n----\nErred: %s\n%s" lbl msg | _ -> ())
+        |> Seq.iter (function (lbl,Error msg) -> buff.AppendFormat("\n----\nErred: {0}\n{1}", lbl, msg) |> ignore | _ -> ())
         buff.ToString()
     
 

src/FSharpUnitTests/Program.fs

@@ -14,10 +14,10 @@ let DenseVectorTests =
     specs "DenseVector" [
         spec "DenseVector.init"
             (DenseVector.init 100 (fun i -> float i / 100.0) |> should equal largev)
-        spec "DenseVector.of_list"
-            (DenseVector.of_list [ for i in 0 .. 99 -> float i / 100.0 ] |> should equal largev)
-        spec "DenseVector.of_seq"
-            (DenseVector.of_seq (seq { for i in 0 .. 99 -> float i / 100.0 }) |> should equal largev)
+        spec "DenseVector.ofList"
+            (DenseVector.ofList [ for i in 0 .. 99 -> float i / 100.0 ] |> should equal largev)
+        spec "DenseVector.ofSeq"
+            (DenseVector.ofSeq (seq { for i in 0 .. 99 -> float i / 100.0 }) |> should equal largev)
         spec "DenseVector.rangef"
             (DenseVector.rangef 0.0 0.01 0.99 |> should equal (new DenseVector( [| for i in 0 .. 99 -> 0.01 * float i |] ) ))
         spec "DenseVector.range"
@@ -35,10 +35,10 @@ let VectorTests =
     let largev = new DenseVector( Array.init 100 (fun i -> float i / 100.0) ) :> Vector
     
     specs "Vector" [
-        spec "Vector.to_array"
-            (Vector.to_array smallv |> should array_equal [|0.3;0.3;0.3;0.3;0.3|])
-        spec "Vector.to_list"
-            (Vector.to_list smallv |> should equal [0.3;0.3;0.3;0.3;0.3])
+        spec "Vector.toArray"
+            (Vector.toArray smallv |> should array_equal [|0.3;0.3;0.3;0.3;0.3|])
+        spec "Vector.toList"
+            (Vector.toList smallv |> should equal [0.3;0.3;0.3;0.3;0.3])
         spec "Vector.mapInPlace"
             ( let w = smallv.Clone()
               Vector.mapInPlace (fun x -> 2.0 * x) w
@@ -127,9 +127,9 @@ let MatrixTests =
         spec "Matrix.foldRow"
             (Matrix.foldRow (+) 0.0 largeM 0 |> should equal 4950.0)
         spec "Matrix.foldByCol"
-            (Matrix.foldByCol (+) 0.0 smallM |> should equal (DenseVector.of_list [0.6;0.6] :> Vector))
+            (Matrix.foldByCol (+) 0.0 smallM |> should equal (DenseVector.ofList [0.6;0.6] :> Vector))
         spec "Matrix.foldByRow"
-            (Matrix.foldByRow (+) 0.0 smallM |> should equal (DenseVector.of_list [0.6;0.6] :> Vector))
+            (Matrix.foldByRow (+) 0.0 smallM |> should equal (DenseVector.ofList [0.6;0.6] :> Vector))
     ]
 
 
@@ -147,14 +147,14 @@ let DenseMatrixTests =
             (DenseMatrix.init 100 100 (fun i j -> float i * 100.0 + float j) |> should equal largeM)
         spec "DenseMatrix.identity"
             (DenseMatrix.identity 10 |> should equal (DenseMatrix.init 10 10 (fun i j -> if i = j then 1.0 else 0.0)))
-        spec "DenseMatrix.of_list"
-            (DenseMatrix.of_list [[0.3;0.3];[0.3;0.3]] |> should equal smallM)
-        spec "DenseMatrix.of_seq"
-            (DenseMatrix.of_seq (Seq.of_list [[0.3;0.3];[0.3;0.3]]) |> should equal smallM)
-        spec "DenseMatrix.of_array2"
-            (DenseMatrix.of_array2 (Array2D.create 2 2 0.3) |> should equal smallM)
-        spec "DenseMatrix.init_dense"
-            (DenseMatrix.init_dense 100 100 (seq { for i in 0 .. 99 do
+        spec "DenseMatrix.ofList"
+            (DenseMatrix.ofList [[0.3;0.3];[0.3;0.3]] |> should equal smallM)
+        spec "DenseMatrix.ofSeq"
+            (DenseMatrix.ofSeq (Seq.ofList [[0.3;0.3];[0.3;0.3]]) |> should equal smallM)
+        spec "DenseMatrix.ofArray2"
+            (DenseMatrix.ofArray2 (Array2D.create 2 2 0.3) |> should equal smallM)
+        spec "DenseMatrix.initDense"
+            (DenseMatrix.initDense 100 100 (seq { for i in 0 .. 99 do
                                                    for j in 0 .. 99 -> (i,j, float i * 100.0 + float j)}) |> should equal largeM)
         (*spec "DenseMatrix.constDiag"
             (DenseMatrix.constDiag 100 2.0 |> should equal (2.0 * (DenseMatrix.identity 100)))

src/Numerics/LinearAlgebra/Double/DenseMatrix.cs

@@ -38,7 +38,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double
     using Threading;
 
     /// <summary>
-    /// A Matrix class with dense storage.
+    /// A Matrix class with dense storage. The underlying storage is a one dimensional array in column-major order.
     /// </summary>
     public class DenseMatrix : Matrix
     {
@@ -90,6 +90,19 @@ namespace MathNet.Numerics.LinearAlgebra.Double
             }
         }
 
+        /// <summary>
+        /// Initializes a new instance of the <see cref="DenseMatrix"/> class from a one dimensional array. This constructor
+        /// will reference the one dimensional array and not copy it.
+        /// </summary>
+        /// <param name="rows">The number of rows.</param>
+        /// <param name="columns">The number of columns.</param
+        /// <param name="array">The one dimensional array to create this matrix from. This array should store the matrix in column-major order. <seealso cref="http://en.wikipedia.org/wiki/Row-major_order"/></param>
+        public DenseMatrix(int rows, int columns, double[] array)
+            : base(rows, columns)
+        {
+            Data = array;
+        }
+
         /// <summary>
         /// Initializes a new instance of the <see cref="DenseMatrix"/> class from a 2D array. This constructor
         /// will allocate a completely new memory block for storing the dense matrix.

src/UnitTests/LinearAlgebraTests/Double/DenseMatrixTests.cs

@@ -7,6 +7,10 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
 
     public class DenseMatrixTests : MatrixTests
     {
+        protected double[] SquareMatrix = new double[] { -1.1, 0.0, 1.0, -4.4, -2.2, 1.1, 2.1, 5.5, -3.3, 2.2, 6.2, 6.6, -4.4, 3.3, 4.3, -7.7 };
+        protected int SquareMatrixRows = 4;
+        protected int SquareMatrixColumns = 4;
+
         protected override Matrix CreateMatrix(int rows, int columns)
         {
             return new DenseMatrix(rows, columns);
@@ -17,6 +21,39 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
             return new DenseMatrix(data);
         }
 
+        [Test]
+        public void CanCreateMatrixFrom1DArray()
+        {
+            Dictionary<string, Matrix> testData = new Dictionary<string, Matrix>();
+            testData.Add("Singular3x3", new DenseMatrix(3, 3, new double[] { 1, 1, 1, 1, 1, 1, 2, 2, 2 }));
+            testData.Add("Square3x3", new DenseMatrix(3, 3, new double[] { -1.1, 0.0, -4.4, -2.2, 1.1, 5.5, -3.3, 2.2, 6.6 }));
+            testData.Add("Square4x4", new DenseMatrix(4, 4, new double[] { -1.1, 0.0, 1.0, -4.4, -2.2, 1.1, 2.1, 5.5, -3.3, 2.2, 6.2, 6.6, -4.4, 3.3, 4.3, -7.7 }));
+            testData.Add("Tall3x2", new DenseMatrix(3, 2, new double[] { -1.1, 0.0, -4.4, -2.2, 1.1, 5.5 }));
+            testData.Add("Wide2x3", new DenseMatrix(2, 3, new double[] { -1.1, 0.0, -2.2, 1.1, -3.3, 2.2 }));
+
+            foreach (var name in testData.Keys)
+            {
+                Assert.AreEqual(testMatrices[name], testData[name]);
+            }
+        }
+
+        [Test]
+        public void MatrixFrom1DArrayIsReference()
+        {
+            var data = new double[] { 1, 1, 1, 1, 1, 1, 2, 2, 2 };
+            var matrix = new DenseMatrix(3, 3, data);
+            matrix[0, 0] = 10.0;
+            Assert.AreEqual(10.0, data[0]);
+        }
+
+        [Test]
+        public void MatrixFrom2DArrayIsCopy()
+        {
+            var matrix = new DenseMatrix(testData2D["Singular3x3"]);
+            matrix[0, 0] = 10.0;
+            Assert.AreEqual(1.0, testData2D["Singular3x3"][0, 0]);
+        }
+
         [Test]
         [Row("Singular3x3")]
         [Row("Singular3x3")]
@@ -24,14 +61,14 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         [Row("Square4x4")]
         [Row("Tall3x2")]
         [Row("Wide2x3")]
-        public void CanCreateMatrixFromArray(string name)
+        public void CanCreateMatrixFrom2DArray(string name)
         {
-            var matrix = new DenseMatrix(testData[name]);
-            for (var i = 0; i < testData[name].GetLength(0); i++)
+            var matrix = new DenseMatrix(testData2D[name]);
+            for (var i = 0; i < testData2D[name].GetLength(0); i++)
             {
-                for (var j = 0; j < testData[name].GetLength(1); j++)
+                for (var j = 0; j < testData2D[name].GetLength(1); j++)
                 {
-                    Assert.AreEqual(testData[name][i,j], matrix[i,j]);
+                    Assert.AreEqual(testData2D[name][i, j], matrix[i, j]);
                 }
             }
         }

src/UnitTests/LinearAlgebraTests/Double/MatrixTests.cs

@@ -8,7 +8,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
 {
     public abstract partial class MatrixTests
     {
-        protected Dictionary<string, double[,]> testData;
+        protected Dictionary<string, double[,]> testData2D;
         protected Dictionary<string, Matrix> testMatrices;
 
         protected abstract Matrix CreateMatrix(int rows, int columns);
@@ -17,17 +17,17 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         [SetUp]
         public void SetupDistributions()
         {
-            testData = new Dictionary<string, double[,]>();
-            testData.Add("Singular3x3", new double[,] { { 1, 1, 2 }, { 1, 1, 2 }, { 1, 1, 2 } });
-            testData.Add("Square3x3", new double[,] { { -1.1, -2.2, -3.3 }, { 0, 1.1, 2.2 }, { -4.4, 5.5, 6.6 } });
-            testData.Add("Square4x4", new double[,] { { -1.1, -2.2, -3.3, -4.4 }, { 0, 1.1, 2.2, 3.3 }, { -4.4, 5.5, 6.6, -7.7 } });
-            testData.Add("Tall3x2", new double[,] { { -1.1, -2.2 }, { 0, 1.1 }, { -4.4, 5.5 } });
-            testData.Add("Wide2x3", new double[,] { { -1.1, -2.2, -3.3 }, { 0, 1.1, 2.2 } });
+            testData2D = new Dictionary<string, double[,]>();
+            testData2D.Add("Singular3x3", new double[,] { { 1, 1, 2 }, { 1, 1, 2 }, { 1, 1, 2 } });
+            testData2D.Add("Square3x3", new double[,] { { -1.1, -2.2, -3.3 }, { 0, 1.1, 2.2 }, { -4.4, 5.5, 6.6 } });
+            testData2D.Add("Square4x4", new double[,] { { -1.1, -2.2, -3.3, -4.4 }, { 0, 1.1, 2.2, 3.3 }, { 1.0, 2.1, 6.2, 4.3 }, { -4.4, 5.5, 6.6, -7.7 } });
+            testData2D.Add("Tall3x2", new double[,] { { -1.1, -2.2 }, { 0, 1.1 }, { -4.4, 5.5 } });
+            testData2D.Add("Wide2x3", new double[,] { { -1.1, -2.2, -3.3 }, { 0, 1.1, 2.2 } });
 
             testMatrices = new Dictionary<string, Matrix>();
-            foreach(var name in testData.Keys)
+            foreach(var name in testData2D.Keys)
             {
-                testMatrices.Add(name, CreateMatrix(testData[name]));
+                testMatrices.Add(name, CreateMatrix(testData2D[name]));
             }
         }
 
@@ -40,7 +40,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         [MultipleAsserts]
         public void CanCloneMatrix(string name)
         {
-            var matrix = CreateMatrix(testData[name]);
+            var matrix = CreateMatrix(testData2D[name]);
             var clone = matrix.Clone();
 
             Assert.AreNotSame(matrix, clone);
@@ -64,7 +64,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         [MultipleAsserts]
         public void CanCloneMatrixUsingICloneable(string name)
         {
-            var matrix = CreateMatrix(testData[name]);
+            var matrix = CreateMatrix(testData2D[name]);
             var clone = (Matrix)((ICloneable)matrix).Clone();
 
             Assert.AreNotSame(matrix, clone);
@@ -102,9 +102,9 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         [MultipleAsserts]
         public void CanEquateMatrices(string name)
         {
-            var matrix1 = CreateMatrix(testData[name]);
-            var matrix2 = CreateMatrix(testData[name]);
-            var matrix3 = CreateMatrix(testData[name].GetLength(0), testData[name].GetLength(1));
+            var matrix1 = CreateMatrix(testData2D[name]);
+            var matrix2 = CreateMatrix(testData2D[name]);
+            var matrix3 = CreateMatrix(testData2D[name].GetLength(0), testData2D[name].GetLength(1));
             Assert.IsTrue(matrix1.Equals(matrix1));
             Assert.IsTrue(matrix1.Equals(matrix2));
             Assert.IsFalse(matrix1.Equals(matrix3));
@@ -128,7 +128,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         [Row("Wide2x3")]
         public void TestingForEqualityWithNonMatrixReturnsFalse(string name)
         {
-            var matrix = CreateMatrix(testData[name]);
+            var matrix = CreateMatrix(testData2D[name]);
             Assert.IsFalse(matrix.Equals(2));
         }
 
@@ -140,8 +140,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         [Row("Wide2x3")]
         public void CanTestForEqualityUsingObjectEquals(string name)
         {
-            var matrix1 = CreateMatrix(testData[name]);
-            var matrix2 = CreateMatrix(testData[name]);
+            var matrix1 = CreateMatrix(testData2D[name]);
+            var matrix2 = CreateMatrix(testData2D[name]);
             Assert.IsTrue(matrix1.Equals((object)matrix2));
         }