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321 lines
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321 lines
13 KiB
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</div><div id="types">
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<h2 class="fixed">Types in MathNet.Numerics.Optimization.ObjectiveFunctions</h2>
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<a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm" class="current">ForwardDifferenceGradientObjectiveFunction</a>
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<a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/LazyObjectiveFunctionBase.htm">LazyObjectiveFunctionBase</a>
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<a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ObjectiveFunctionBase.htm">ObjectiveFunctionBase</a>
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<div class="header">
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<p class="class"><strong>Type</strong> ForwardDifferenceGradientObjectiveFunction</p>
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<p><strong>Namespace</strong> MathNet.Numerics.Optimization.ObjectiveFunctions</p>
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<p><strong>Interfaces</strong> <a href="../MathNet.Numerics.Optimization/IObjectiveFunction.htm">IObjectiveFunction</a></p>
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</div>
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<div class="sub-header">
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<div id="summary">Adapts an objective function with only value implemented
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to provide a gradient as well. Gradient calculation is
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done using the finite difference method, specifically
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forward differences.
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For each gradient computed, the algorithm requires an
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additional number of function evaluations equal to the
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functions's number of input parameters.
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</div>
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<h3 class="section">Constructors</h3>
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<ul>
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<li><a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm#.ctor">ForwardDifferenceGradientObjectiveFunction</a></li>
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</ul>
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<h3 class="section">Methods</h3>
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<ul>
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<li><a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm#CreateNew">CreateNew</a></li>
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<li><a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm#Equals">Equals</a></li>
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<li><a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm#EvaluateAt">EvaluateAt</a></li>
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<li><a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm#Fork">Fork</a></li>
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<li><a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm#GetHashCode">GetHashCode</a></li>
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<li><a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm#GetType">GetType</a></li>
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<li><a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.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.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm#Gradient">Gradient</a></li>
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<li><a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm#Hessian">Hessian</a></li>
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<li><a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm#InnerObjectiveFunction">InnerObjectiveFunction</a></li>
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<li><a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm#IsGradientSupported">IsGradientSupported</a></li>
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<li><a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm#IsHessianSupported">IsHessianSupported</a></li>
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<li><a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm#MinimumIncrement">MinimumIncrement</a></li>
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<li><a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm#Point">Point</a></li>
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<li><a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm#RelativeIncrement">RelativeIncrement</a></li>
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<li><a href="../MathNet.Numerics.Optimization.ObjectiveFunctions/ForwardDifferenceGradientObjectiveFunction.htm#Value">Value</a></li>
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</ul>
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</div>
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<h3 class="section">Public Constructors</h3>
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<div id=".ctor" class="method">
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<h4> <strong>ForwardDifferenceGradientObjectiveFunction</strong>(<a href="../MathNet.Numerics.Optimization/IObjectiveFunction.htm">IObjectiveFunction</a> valueOnlyObj, <a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> lowerBound, <a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> upperBound, <span title="System.double">double</span> relativeIncrement, <span title="System.double">double</span> minimumIncrement)</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 Methods</h3>
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<div id="CreateNew" class="method">
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<h4><a href="../MathNet.Numerics.Optimization/IObjectiveFunction.htm">IObjectiveFunction</a> <strong>CreateNew</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="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="EvaluateAt" class="method">
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<h4><span title="System.void">void</span> <strong>EvaluateAt</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> point)</h4>
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<div class="content">
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</div>
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</div>
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<div id="Fork" class="method">
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<h4><a href="../MathNet.Numerics.Optimization/IObjectiveFunction.htm">IObjectiveFunction</a> <strong>Fork</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="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="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="Gradient" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>Gradient</strong> get; set;</h4>
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<div class="content">
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</div>
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</div>
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<div id="Hessian" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Matrix`1.htm">Matrix<T></a> <strong>Hessian</strong> get; </h4>
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<div class="content">
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</div>
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</div>
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<div id="InnerObjectiveFunction" class="method">
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<h4><a href="../MathNet.Numerics.Optimization/IObjectiveFunction.htm">IObjectiveFunction</a> <strong>InnerObjectiveFunction</strong> get; set;</h4>
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<div class="content">
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</div>
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</div>
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<div id="IsGradientSupported" class="method">
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<h4><span title="System.bool">bool</span> <strong>IsGradientSupported</strong> get; </h4>
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<div class="content">
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</div>
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</div>
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<div id="IsHessianSupported" class="method">
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<h4><span title="System.bool">bool</span> <strong>IsHessianSupported</strong> get; </h4>
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<div class="content">
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</div>
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</div>
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<div id="MinimumIncrement" class="method">
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<h4><span title="System.double">double</span> <strong>MinimumIncrement</strong> get; set;</h4>
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<div class="content">
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</div>
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</div>
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<div id="Point" class="method">
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<h4><a href="../MathNet.Numerics.LinearAlgebra/Vector`1.htm">Vector<T></a> <strong>Point</strong> get; set;</h4>
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<div class="content">
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</div>
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</div>
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<div id="RelativeIncrement" class="method">
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<h4><span title="System.double">double</span> <strong>RelativeIncrement</strong> get; set;</h4>
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<div class="content">
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</div>
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</div>
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<div id="Value" class="method">
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<h4><span title="System.double">double</span> <strong>Value</strong> get; </h4>
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<div class="content">
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</div>
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<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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