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A sparse matrix in the compressed sparse row(CSR) format.
LpSparseMatrix
00 Remarks
This matrix object is specially designed for the large scale linear programming problem, example as the FBA problem of the genome scale metabolic network: the stoichiometric matrix of a GEM model is a highly sparse matrix, so that a dense matrix storage in such a large scale problem will run out of the memory.
The column index in each row is always kept in ascending order, so that the element lookup in a row can be done via binary search.
01 Syntax
Microsoft.VisualBasic.Math.LinearAlgebra.LinearProgramming.LpSparseMatrix
02 Methods
| Name | Overloads | Summary |
|---|---|---|
| FromJagged | 1 | create a sparse matrix from a dense jagged matrix |
| FromTriplets | 1 | create a sparse matrix from the triplet data |
| Empty | 1 | the empty matrix |
| ToJagged | 1 | expands the sparse matrix as a dense jagged matrix, note that this operation may cost a lot of memory in a large scale problem |
| ToString | 1 |
03 Properties
| Name | Overloads | Summary |
|---|---|---|
| NonZeros | 1 | the number of the non-zero elements in this matrix |
04 Fields
05 Members
FromJagged(
Double()())create a sparse matrix from a dense jagged matrix
Parameters
| Name | Type | Description |
|---|---|---|
jagged | Double()() | - |
FromTriplets(
Int32, Int32, Int32(), Int32(), Double())create a sparse matrix from the triplet data
Empty
the empty matrix
ToJagged
expands the sparse matrix as a dense jagged matrix, note that this operation may cost a lot of memory in a large scale problem
NonZeros
the number of the non-zero elements in this matrix
Rows
number of the constraint rows
Columns
number of the variables
RowPtr
row pointer, the length is LpSparseMatrix.Rows + 1
ColIdx
the column index of each non-zero element
Values
the value of each non-zero element
Rows
Columns
RowPtr
ColIdx
Values
ToString()