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553 lines
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553 lines
24 KiB
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</div>
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</div><div id="types">
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<h2 class="fixed">Types in MathNet.Numerics.LinearAlgebra</h2>
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<div class="scroll">
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<ul>
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<li>
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<a href="../MathNet.Numerics.LinearAlgebra/CreateMatrix.htm">CreateMatrix</a>
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</li>
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<li>
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<a href="../MathNet.Numerics.LinearAlgebra/CreateVector.htm">CreateVector</a>
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</li>
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<li>
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<a href="../MathNet.Numerics.LinearAlgebra/ExistingData.htm">ExistingData</a>
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</li>
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<li>
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<a href="../MathNet.Numerics.LinearAlgebra/Matrix`1.htm">Matrix<T></a>
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</li>
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<li>
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<a href="../MathNet.Numerics.LinearAlgebra/MatrixBuilder`1.htm">MatrixBuilder<T></a>
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</li>
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<li>
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<a href="../MathNet.Numerics.LinearAlgebra/MatrixExtensions.htm">MatrixExtensions</a>
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</li>
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<li>
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<a href="../MathNet.Numerics.LinearAlgebra/Symmetricity.htm">Symmetricity</a>
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</li>
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<li>
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<a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a>
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</li>
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<li>
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<a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm" class="current">VectorBuilder<T></a>
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</li>
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<li>
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<a href="../MathNet.Numerics.LinearAlgebra/VectorExtensions.htm">VectorExtensions</a>
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</li>
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<li>
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<a href="../MathNet.Numerics.LinearAlgebra/Zeros.htm">Zeros</a>
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</li>
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</ul>
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</div>
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</div>
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<div class="header">
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<p class="class"><strong>Type</strong> VectorBuilder<T></p>
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<p><strong>Namespace</strong> MathNet.Numerics.LinearAlgebra</p>
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</div>
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<div class="sub-header">
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<div id="summary">Generic linear algebra type builder, for situations where a matrix or vector
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must be created in a generic way. Usage of generic builders should not be
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required in normal user code.
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</div>
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<h3 class="section">Methods</h3>
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<ul>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#Dense">Dense</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#Dense">Dense</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#Dense">Dense</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#Dense">Dense</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#Dense">Dense</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#DenseOfArray">DenseOfArray</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#DenseOfEnumerable">DenseOfEnumerable</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#DenseOfIndexed">DenseOfIndexed</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#DenseOfVector">DenseOfVector</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#Equals">Equals</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#GetHashCode">GetHashCode</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#GetType">GetType</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#OfStorage">OfStorage</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#Random">Random</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#Random">Random</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#Random">Random</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#SameAs">SameAs</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#SameAs">SameAs</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#SameAs">SameAs</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#SameAs``1">SameAs<TU></a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#SameAs``1">SameAs<TU></a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#SameAs``1">SameAs<TU></a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#Sparse">Sparse</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#Sparse">Sparse</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#Sparse">Sparse</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#Sparse">Sparse</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#SparseOfArray">SparseOfArray</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#SparseOfEnumerable">SparseOfEnumerable</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#SparseOfIndexed">SparseOfIndexed</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#SparseOfVector">SparseOfVector</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#ToString">ToString</a></li>
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</ul>
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<h3 class="section">Properties</h3>
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<ul>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#One">One</a></li>
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<li><a href="../MathNet.Numerics.LinearAlgebra/VectorBuilder`1.htm#Zero">Zero</a></li>
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</ul>
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</div>
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<h3 class="section">Public Methods</h3>
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<div id="Dense" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>Dense</strong>(<span title="System.int">int</span> length, <span title="System.Func<int, T>">Func<int, T></span> init)</h4>
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<div class="content">Create a new dense vector and initialize each value using the provided init function.
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</div>
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</div>
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<div id="Dense" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>Dense</strong>(<span title="System.int">int</span> length, <span title="MathNet.Numerics.LinearAlgebra.T">T</span> value)</h4>
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<div class="content">Create a new dense vector and initialize each value using the provided value.
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</div>
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</div>
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<div id="Dense" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>Dense</strong>(<span title="MathNet.Numerics.LinearAlgebra.T[]">T[]</span> array)</h4>
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<div class="content">Create a dense vector of T that is directly bound to the specified array.
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</div>
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</div>
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<div id="Dense" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>Dense</strong>(<a href="../MathNet.Numerics.LinearAlgebra.Storage/DenseVectorStorage`1.htm">DenseVectorStorage<T></a> storage)</h4>
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<div class="content">Create a new dense vector straight from an initialized vector storage instance.
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The storage is used directly without copying.
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Intended for advanced scenarios where you're working directly with
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storage for performance or interop reasons.
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</div>
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</div>
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<div id="Dense" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>Dense</strong>(<span title="System.int">int</span> size)</h4>
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<div class="content">Create a dense vector of T with the given size.
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.int">int</span></code> size</h6>
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<p class="comments">The size of the vector. </p>
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</div>
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</div>
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</div>
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<div id="DenseOfArray" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>DenseOfArray</strong>(<span title="MathNet.Numerics.LinearAlgebra.T[]">T[]</span> array)</h4>
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<div class="content">Create a new dense vector as a copy of the given array.
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This new vector will be independent from the array.
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A new memory block will be allocated for storing the vector.
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</div>
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</div>
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<div id="DenseOfEnumerable" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>DenseOfEnumerable</strong>(<span title="System.Collections.Generic.IEnumerable<T>">IEnumerable<T></span> enumerable)</h4>
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<div class="content">Create a new dense vector as a copy of the given enumerable.
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This new vector will be independent from the enumerable.
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A new memory block will be allocated for storing the vector.
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</div>
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</div>
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<div id="DenseOfIndexed" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>DenseOfIndexed</strong>(<span title="System.int">int</span> length, <span title="System.Collections.Generic.IEnumerable<Tuple<int, T>>">IEnumerable<Tuple<int, T>></span> enumerable)</h4>
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<div class="content">Create a new dense vector as a copy of the given indexed enumerable.
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Keys must be provided at most once, zero is assumed if a key is omitted.
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This new vector will be independent from the enumerable.
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A new memory block will be allocated for storing the vector.
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</div>
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</div>
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<div id="DenseOfVector" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>DenseOfVector</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> vector)</h4>
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<div class="content">Create a new dense vector as a copy of the given other vector.
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This new vector will be independent from the other vector.
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A new memory block will be allocated for storing the vector.
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</div>
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</div>
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<div id="Equals" class="method">
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<h4><span title="System.bool">bool</span> <strong>Equals</strong>(<span title="System.object">object</span> obj)</h4>
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<div class="content">
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</div>
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</div>
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<div id="GetHashCode" class="method">
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<h4><span title="System.int">int</span> <strong>GetHashCode</strong>()</h4>
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<div class="content">
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</div>
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</div>
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<div id="GetType" class="method">
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<h4><span title="System.Type">Type</span> <strong>GetType</strong>()</h4>
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<div class="content">
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</div>
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</div>
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<div id="OfStorage" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>OfStorage</strong>(<a href="../MathNet.Numerics.LinearAlgebra.Storage/VectorStorage`1.htm">VectorStorage<T></a> storage)</h4>
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<div class="content">Create a new vector straight from an initialized matrix storage instance.
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If you have an instance of a discrete storage type instead, use their direct methods instead.
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</div>
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</div>
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<div id="Random" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>Random</strong>(<span title="System.int">int</span> length)</h4>
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<div class="content">Create a new dense vector with values sampled from the standard distribution with a system random source.
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</div>
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</div>
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<div id="Random" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>Random</strong>(<span title="System.int">int</span> length, <a href="../MathNet.Numerics.Distributions/IContinuousDistribution.htm">IContinuousDistribution</a> distribution)</h4>
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<div class="content">Create a new dense vector with values sampled from the provided random distribution.
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</div>
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</div>
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<div id="Random" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>Random</strong>(<span title="System.int">int</span> length, <span title="System.int">int</span> seed)</h4>
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<div class="content">Create a new dense vector with values sampled from the standard distribution with a system random source.
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</div>
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</div>
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<div id="SameAs" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>SameAs</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Matrix`1.htm">Matrix<T></a> matrix, <a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> vector, <span title="System.int">int</span> length)</h4>
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<div class="content">Create a new vector with a type that can represent and is closest to both provided samples.
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</div>
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</div>
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<div id="SameAs" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>SameAs</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> example, <a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> otherExample)</h4>
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<div class="content">Create a new vector with a type that can represent and is closest to both provided samples and the dimensions of example.
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</div>
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</div>
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<div id="SameAs" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>SameAs</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> example, <a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> otherExample, <span title="System.int">int</span> length)</h4>
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<div class="content">Create a new vector with a type that can represent and is closest to both provided samples.
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</div>
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</div>
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<div id="SameAs``1" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>SameAs<TU></strong>(<a href="../MathNet.Numerics.LinearAlgebra/Matrix`1.htm">Matrix<T></a> example, <span title="System.int">int</span> length)</h4>
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<div class="content">Create a new vector with the same kind of the provided example.
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</div>
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</div>
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<div id="SameAs``1" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>SameAs<TU></strong>(<a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> example, <span title="System.int">int</span> length)</h4>
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<div class="content">Create a new vector with the same kind of the provided example.
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</div>
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</div>
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<div id="SameAs``1" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>SameAs<TU></strong>(<a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> example)</h4>
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<div class="content">Create a new vector with the same kind and dimension of the provided example.
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</div>
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</div>
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<div id="Sparse" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>Sparse</strong>(<span title="System.int">int</span> length, <span title="MathNet.Numerics.LinearAlgebra.T">T</span> value)</h4>
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<div class="content">Create a new sparse vector and initialize each value using the provided value.
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</div>
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</div>
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<div id="Sparse" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>Sparse</strong>(<span title="System.int">int</span> size)</h4>
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<div class="content">Create a sparse vector of T with the given size.
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.int">int</span></code> size</h6>
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<p class="comments">The size of the vector. </p>
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</div>
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</div>
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</div>
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<div id="Sparse" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>Sparse</strong>(<a href="../MathNet.Numerics.LinearAlgebra.Storage/SparseVectorStorage`1.htm">SparseVectorStorage<T></a> storage)</h4>
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<div class="content">Create a new sparse vector straight from an initialized vector storage instance.
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The storage is used directly without copying.
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Intended for advanced scenarios where you're working directly with
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storage for performance or interop reasons.
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</div>
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</div>
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<div id="Sparse" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>Sparse</strong>(<span title="System.int">int</span> length, <span title="System.Func<int, T>">Func<int, T></span> init)</h4>
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<div class="content">Create a new sparse vector and initialize each value using the provided init function.
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</div>
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</div>
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<div id="SparseOfArray" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>SparseOfArray</strong>(<span title="MathNet.Numerics.LinearAlgebra.T[]">T[]</span> array)</h4>
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<div class="content">Create a new sparse vector as a copy of the given array.
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This new vector will be independent from the array.
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A new memory block will be allocated for storing the vector.
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</div>
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</div>
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<div id="SparseOfEnumerable" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>SparseOfEnumerable</strong>(<span title="System.Collections.Generic.IEnumerable<T>">IEnumerable<T></span> enumerable)</h4>
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<div class="content">Create a new sparse vector as a copy of the given enumerable.
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This new vector will be independent from the enumerable.
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A new memory block will be allocated for storing the vector.
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</div>
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</div>
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<div id="SparseOfIndexed" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>SparseOfIndexed</strong>(<span title="System.int">int</span> length, <span title="System.Collections.Generic.IEnumerable<Tuple<int, T>>">IEnumerable<Tuple<int, T>></span> enumerable)</h4>
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<div class="content">Create a new sparse vector as a copy of the given indexed enumerable.
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Keys must be provided at most once, zero is assumed if a key is omitted.
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This new vector will be independent from the enumerable.
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A new memory block will be allocated for storing the vector.
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</div>
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</div>
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<div id="SparseOfVector" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>SparseOfVector</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> vector)</h4>
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<div class="content">Create a new sparse vector as a copy of the given other vector.
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This new vector will be independent from the other vector.
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A new memory block will be allocated for storing the vector.
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</div>
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</div>
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<div id="ToString" class="method">
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<h4><span title="System.string">string</span> <strong>ToString</strong>()</h4>
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<div class="content">
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</div>
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</div>
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<h3 class="section">Public Properties</h3>
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<div id="One" class="method">
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<h4><span title="MathNet.Numerics.LinearAlgebra.T">T</span> <strong>One</strong> get; </h4>
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<div class="content">Gets the value of <code>1.0</code> for type T.
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</div>
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</div>
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<div id="Zero" class="method">
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<h4><span title="MathNet.Numerics.LinearAlgebra.T">T</span> <strong>Zero</strong> get; </h4>
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<div class="content">Gets the value of <code>0.0</code> for type T.
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</div>
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</div>
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<div id="footer">
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<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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</div>
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</html>
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