Public Static Methods
  Add | Performs element-wise addition of two real sparse matrices A, B of type SparseMatrix, 
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| Multiply | Overloaded. Multiply sparse matrix A and column array x,  . |
| MultiplySymmetric | Multiply sparse symmetric matrix A and column vector x. |
Public Instance Constructors
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SparseMatrix
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Overloaded. Initializes a new instance of the SparseMatrix class. |
Public Instance Properties
 NumberOfColumns | The number of columns in the matrix. |
| NumberOfNonZeros | The number of nonzeros in the matrix. |
| NumberOfRows | The number of rows in the matrix. |
Public Instance Methods
| CheckSquareMatrix | Check that the matrix is square. |
| Equals (inherited from Object) | Determines whether the specified Object is equal to the current Object. |
| FrobeniusNorm | Returns the Frobenius norm of the matrix. |
| Get | Returns the value of an element in the matrix. |
| GetHashCode (inherited from Object) | Serves as a hash function for a particular type, suitable for use in hashing algorithms and data structures like a hash table. |
| GetType (inherited from Object) | Gets the Type of the current instance. |
| InfinityNorm | Returns the infinity norm of the matrix. |
| Multiply | Overloaded. Multiply the matrix by a vector. |
| OneNorm | Returns the matrix one norm of the sparse matrix. |
| PlusEquals | Adds a value to an element in the matrix. |
| Set | Sets the value of an element in the matrix. |
| ToDenseMatrix | Returns the sparse matrix as a dense matrix. |
| ToSparseArray | Returns the sparse matrix in the SparseArray form. |
| ToString (inherited from Object) | Returns a String that represents the current Object. |
| Transpose | Returns the transpose of the matrix. |
Protected Instance Methods
 Finalize (inherited from Object) | Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection. |
| MemberwiseClone (inherited from Object) | Creates a shallow copy of the current Object. |
See Also
SparseMatrix Class | Imsl.Math Namespace | SparseCholesky | SuperLU | Example 1: Create from arrays | Example 2: Read Matrix Market format