Matrix

Matrix class

Represents an arbitrarily sized matrix of double -precision floating point numbers. If you are working with a 4x4 matrix, then you may want to use the Transform class instead.

Namespace: Rhino.Geometry
Matrix: references

Constructors (2)

Matrix(int rowCount, int columnCount)

Initializes a new instance of the matrix.

Matrix(Transform xform)

Initializes a new instance of the matrix based on a 4x4 matrix <b>Transform</b> .

Properties (9)

ColumnCount

Gets the amount of columns.

IsColumnOrthogonal

Gets a value indicating whether the matrix is column orthogonal.

IsColumnOrthoNormal

Gets a value indicating whether the matrix is column orthonormal.

IsRowOrthogonal

Gets a value indicating whether the matrix is row orthogonal.

IsRowOrthoNormal

Gets a value indicating whether the matrix is row orthonormal.

IsSquare

Gets a value indicating whether this matrix has the same number of rows and columns. 0x0 matrices are not considered square.

IsValid

Gets a value indicating whether this matrix is valid.

Item

Gets or sets the matrix value at the given row and column indices.

RowCount

Gets the amount of rows.

Methods (16)

BackSolve(Double zeroTolerance,Double[] b)

Solves M*x=b where M is upper triangular with a unit diagonal and b is a column of values.

BackSolvePoints(Double zeroTolerance, Point3d[] b)

Solves M*x=b where M is upper triangular with a unit diagonal and b is a column of 3d points.

Dispose()

Actively reclaims unmanaged resources that this instance uses.

Dispose(Boolean disposing)

For derived class implementers.
This method is called with argument True when class user calls Dispose(), while with argument False when the Garbage Collector invokes the finalizer, or Finalize() method.
You must reclaim all used unmanaged resources in both cases, and can use this chance to call Dispose on disposable fields if the argument is true.
Also, you must call the base virtual method within your overriding method.

Duplicate()

Create a duplicate of this matrix.

GetHashCode()

Gets the hash code for this matrix. The hash code will change when the matrix changes so you cannot change matrices while they are stored in hash tables.

Invert(Double zeroTolerance)

Modifies this matrix to become its own inverse.
Matrix might be non-invertible (singular) and the return value will be false.

RowReduce(Double zeroTolerance,Double determinant,Double pivot)

Row reduces a matrix to calculate rank and determinant.

RowReduce(Double zeroTolerance, Point3d[] b,Double pivot)

Row reduces a matrix as the first step in solving M*X=b where b is a column of 3d points.

RowReduce(Double zeroTolerance,Double[] b,Double pivot)

Row reduces a matrix as the first step in solving M*X=b where b is a column of values.

Scale(Double s)

Modifies the current matrix by multiplying its values by a number.

SetDiagonal(Double d)

Sets diagonal value and zeros off all non-diagonal values.

SwapColumns(Int32 columnA,Int32 columnB)

Exchanges two columns.

SwapRows(Int32 rowA,Int32 rowB)

Exchanges two rows.

Transpose()

Modifies this matrix to be its transpose.
This is like swapping rows with columns.
http://en.wikipedia.org/wiki/Transpose

Zero()

Sets all values inside the matrix to zero.

Operators (2)

Multiplies two matrices and returns a new product matrix.

Adds two matrices and returns a new sum matrix.

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