// // Math.NET Numerics, part of the Math.NET Project // http://numerics.mathdotnet.com // http://github.com/mathnet/mathnet-numerics // http://mathnetnumerics.codeplex.com // // Copyright (c) 2009-2013 Math.NET // // Permission is hereby granted, free of charge, to any person // obtaining a copy of this software and associated documentation // files (the "Software"), to deal in the Software without // restriction, including without limitation the rights to use, // copy, modify, merge, publish, distribute, sublicense, and/or sell // copies of the Software, and to permit persons to whom the // Software is furnished to do so, subject to the following // conditions: // // The above copyright notice and this permission notice shall be // included in all copies or substantial portions of the Software. // // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, // EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES // OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND // NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT // HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, // WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING // FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR // OTHER DEALINGS IN THE SOFTWARE. // namespace MathNet.Numerics.LinearAlgebra.Double open MathNet.Numerics.LinearAlgebra /// A module which implements functional vector operations. [] module Vector = // TODO: generalize or reconsider /// Creates a new vector and inserts the given value at the given index. let inline insert index value (v: #Vector) = let newV = new DenseVector(v.Count + 1) for i = 0 to index - 1 do newV.At(i, v.At i) newV.At(index, value) for i = index + 1 to v.Count do newV.At(i, v.At (i - 1)) newV /// A module which implements functional dense vector operations. [] module DenseVector = /// Create a vector that directly binds to a raw storage array, without copying. let inline raw (raw: float[]) = DenseVector(raw) :> _ Vector /// Initialize an all-zero vector with the given dimension. let inline zeroCreate (n: int) = DenseVector(n) :> _ Vector /// Initialize a random vector with the given dimension and distribution. let inline randomCreate (n: int) dist = DenseVector.CreateRandom(n, dist) :> _ Vector /// Initialize an x-valued vector with the given dimension. let inline create (n: int) x = DenseVector.Create(n, fun i -> x) :> _ Vector /// Initialize a vector by calling a construction function for every element. let inline init (n: int) (f: int -> float) = DenseVector.Create(n, fun i -> f i) :> _ Vector /// Create a vector from a float list. let inline ofList (fl: float list) = DenseVector(Array.ofList fl) :> _ Vector /// Create a vector from a float sequence. let inline ofSeq (fs: #seq) = DenseVector.OfEnumerable(fs) :> _ Vector /// Create a vector with a given dimension from an indexed list of index, value pairs. let inline ofListi (n: int) (fl: list) = DenseVector.OfIndexedEnumerable(n, Seq.ofList fl) :> _ Vector /// Create a vector with a given dimension from an indexed sequences of index, value pairs. let inline ofSeqi (n: int) (fs: #seq) = DenseVector.OfIndexedEnumerable(n, fs) :> _ Vector /// Create a vector with integer entries in the given range. let inline range (start: int) (step: int) (stop: int) = raw [| for i in start..step..stop -> float i |] /// Create a vector with evenly spaced entries: e.g. rangef -1.0 0.5 1.0 = [-1.0 -0.5 0.0 0.5 1.0] let inline rangef (start: float) (step: float) (stop: float) = raw [| start..step..stop |] /// A module which implements functional sparse vector operations. [] module SparseVector = /// Initialize an all-zero vector with the given dimension. let inline zeroCreate (n: int) = SparseVector(n) :> _ Vector /// Initialize a vector by calling a construction function for every element. let inline init (n: int) (f: int -> float) = SparseVector.Create(n, fun i -> f i) :> _ Vector /// Create a sparse vector from a float list. let inline ofList (fl: float list) = SparseVector.OfEnumerable(Seq.ofList fl) :> _ Vector /// Create a sparse vector from a float sequence. let inline ofSeq (fs: #seq) = SparseVector.OfEnumerable(fs) :> _ Vector /// Create a sparse vector with a given dimension from an indexed list of index, value pairs. let inline ofListi (n: int) (fl: list) = SparseVector.OfIndexedEnumerable(n, Seq.ofList fl) :> _ Vector /// Create a sparse vector with a given dimension from an indexed sequence of index, value pairs. let inline ofSeqi (n: int) (fs: #seq) = SparseVector.OfIndexedEnumerable(n, fs) :> _ Vector