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<title>gradient_vector_linear_direct</title>
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<h1>gradient_vector_linear_direct</h1>
<introduction>
<p>This function returns the gradient vecotr to be used by the nonlinear</p>
</introduction>
<h2>Contents</h2>
<div>
<ul>
<li><a href="#1">Syntax</a></li>
<li><a href="#2">Description</a></li>
<li><a href="#4">Input</a></li>
<li><a href="#6">Ouput</a></li>
<li><a href="#8">Signature</a></li>
<li><a href="#10">See also</a></li>
</ul>
</div>
<h2>Syntax<a name="1"></a></h2><pre>[gradient]=gradient_vector_linear_direct(w,data)</pre><h2>Description<a name="2"></a></h2>
<p>conjugate gradient.</p>
<p>This is the exact version which scales as <img src="equations/script_gradient_vector_linear_direct_eq966.png" align="middle">.</p>
<h2>Input<a name="4"></a></h2>
<div>
<ul>
<li>w ... d x 1 weight vector</li>
<li>data ... structure containing the data regarding the ranking task at hand [See convert_data_to_ranking_format.m] Has one extra
parameter data.lambda, the regularization parameter
</li>
</ul>
</div>
<h2>Ouput<a name="6"></a></h2>
<div>
<ul>
<li> gradient ... d x 1 gradient vector evaluated at w</li>
</ul>
</div>
<h2>Signature<a name="8"></a></h2>
<div>
<ul>
<li><b>Author:</b> Vikas Chandrakant Raykar
</li>
<li><b>E-Mail:</b> <a href="mailto:vikas@cs.umd.edu">vikas@cs.umd.edu</a> Date: September 27, 2006
</li>
</ul>
</div>
<h2>See also<a name="10"></a></h2>
<p><a href="convert_data_to_ranking_format.html">convert_data_to_ranking_format</a>, <a href="non_linear_conjugate_gradient.html">non_linear_conjugate_gradient</a>, <a href="RankNCG_linear_train.html">RankNCG_linear_train</a></p>
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Published with wg_publish; V1.0<br></p>
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<!--
##### SOURCE BEGIN #####
%% gradient_vector_linear_direct
% This function returns the gradient vecotr to be used by the nonlinear
%% Syntax
% [gradient]=gradient_vector_linear_direct(w,data)
%% Description
% conjugate gradient.
%%
% This is the exact version which scales as <img src="equations/script_gradient_vector_linear_direct_eq966.png" align="middle">.
%%
%% Input
%%
%%
% * w ... d x 1 weight vector
% * data ... structure containing the data regarding the ranking task at hand [See convert_data_to_ranking_format.m]
% Has one extra parameter data.lambda, the regularization parameter
%%
%% Ouput
%%
%%
% * gradient ... d x 1 gradient vector evaluated at w
%%
%% Signature
%%
%%
% * *Author:* Vikas Chandrakant Raykar
% * *E-Mail:* vikas@cs.umd.edu
% Date: September 27, 2006
%%
%% See also
%%
% convert_data_to_ranking_format, non_linear_conjugate_gradient, RankNCG_linear_train
%%
%%
%
##### SOURCE END #####
-->
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