Some small documentation changes.

src/Numerics/Distributions/Discrete/Bernoulli.cs

@@ -33,6 +33,7 @@ namespace MathNet.Numerics.Distributions
     /// <summary>
     /// The Bernoulli distribution is a distribution over bits. The parameter
     /// p specifies the probability that a 1 is generated.
+    /// <a href="http://en.wikipedia.org/wiki/Bernoulli_distribution">Wikipedia - Bernoulli distribution</a>.
     /// </summary>
     /// <remarks><para>The distribution will use the <see cref="System.Random"/> by default. 
     /// Users can set the random number generator by using the <see cref="RandomSource"/> property.</para>

src/Numerics/Distributions/Discrete/DiscreteUniform.cs

@@ -33,6 +33,7 @@ namespace MathNet.Numerics.Distributions
     /// <summary>
     /// The discrete uniform distribution is a distribution over integers. The distribution
     /// is parameterized by a lower and upper bound (both inclusive).
+    /// <a href="http://en.wikipedia.org/wiki/Uniform_distribution_%28discrete%29">Wikipedia - Discrete uniform distribution</a>.
     /// </summary>
     /// <remarks><para>The distribution will use the <see cref="System.Random"/> by default. 
     /// Users can set the random number generator by using the <see cref="RandomSource"/> property.</para>

src/Numerics/Distributions/Multivariate/NormalGamma.cs

@@ -104,6 +104,7 @@ namespace MathNet.Numerics.Distributions
     /// the precision shape will encode the value of the precision while the precision inverse scale is positive
     /// infinity. When the mean is known, the mean location will encode the value of the mean while the scale
     /// will be positive infinity. A completely degenerate NormalGamma distribution with known mean and precision is possible as well.</para>
+    /// <a href="http://en.wikipedia.org/wiki/Normal-gamma_distribution">Wikipedia - Normal-Gamma distribution</a>.
     /// </summary>
     /// <remarks><para>The distribution will use the <see cref="System.Random"/> by default. 
     /// Users can get/set the random number generator by using the <see cref="RandomSource"/> property.</para>

src/Numerics/LinearAlgebra/Complex/SparseMatrix.cs

@@ -38,7 +38,8 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
     using Threading;
     
     /// <summary>
-    /// A Matrix class with sparse storage. The underlying storage scheme is 3-array CSR Format.
+    /// A Matrix class with sparse storage. The underlying storage scheme is 3-array compressed-sparse-row (CSR) Format.
+    /// <a href="http://en.wikipedia.org/wiki/Sparse_matrix#Compressed_sparse_row_.28CSR_or_CRS.29">Wikipedia - CSR</a>.
     /// </summary>
     public class SparseMatrix : Matrix<Complex>
     {

src/Numerics/LinearAlgebra/Complex32/SparseMatrix.cs

@@ -38,7 +38,8 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
     using Threading;
     
     /// <summary>
-    /// A Matrix class with sparse storage. The underlying storage scheme is 3-array CSR Format.
+    /// A Matrix class with sparse storage. The underlying storage scheme is 3-array compressed-sparse-row (CSR) Format.
+    /// <a href="http://en.wikipedia.org/wiki/Sparse_matrix#Compressed_sparse_row_.28CSR_or_CRS.29">Wikipedia - CSR</a>.
     /// </summary>
     public class SparseMatrix : Matrix<Complex32>
     {

src/Numerics/LinearAlgebra/Double/SparseMatrix.cs

@@ -38,7 +38,8 @@ namespace MathNet.Numerics.LinearAlgebra.Double
     using Threading;
     
     /// <summary>
-    /// A Matrix class with sparse storage. The underlying storage scheme is 3-array CSR Format.
+    /// A Matrix class with sparse storage. The underlying storage scheme is 3-array compressed-sparse-row (CSR) Format.
+    /// <a href="http://en.wikipedia.org/wiki/Sparse_matrix#Compressed_sparse_row_.28CSR_or_CRS.29">Wikipedia - CSR</a>.
     /// </summary>
     public class SparseMatrix : Matrix<double> 
     {

src/Numerics/LinearAlgebra/Single/SparseMatrix.cs

@@ -38,7 +38,8 @@ namespace MathNet.Numerics.LinearAlgebra.Single
     using Threading;
     
     /// <summary>
-    /// A Matrix class with sparse storage. The underlying storage scheme is 3-array CSR Format.
+    /// A Matrix class with sparse storage. The underlying storage scheme is 3-array compressed-sparse-row (CSR) Format.
+    /// <a href="http://en.wikipedia.org/wiki/Sparse_matrix#Compressed_sparse_row_.28CSR_or_CRS.29">Wikipedia - CSR</a>.
     /// </summary>
     public class SparseMatrix : Matrix<float> 
     {