CholeskySolver class final

Implementation of the "Cholesky decomposition" algorithm for solving a system of linear equations. It only works with square, Hermitian, positive-definite matrices.

Inheritance

Constructors

CholeskySolver({required RealMatrix matrix, required List<double> knownValues, double precision = 1.0e-10})
Given an equation in the form Ax = b, A is a square matrix containing n equations in n unknowns and b is the vector of the known values.

Properties

hashCode → int
The hash code for this object.
no setterinherited
knownValues → List<double>
The vector containing the known values of the equations.
finalinherited
matrix → RealMatrix
The equations to be solved.
finalinherited
precision → double
The algorithm accuracy.
finalinherited
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
size → int
The dimension of the system (N equations in N unknowns).
no setterinherited

Methods

determinant() → double
Computes the determinant of the associated matrix.
inherited
hasSolution() → bool
Computes whether the system can be solved or not.
inherited
noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
solve() → List<double>
Solves the Ax = b equation and returns the x vector.
override
toString() → String
A string representation of this object.
inherited
toStringAugmented() → String
Prints the augmented matrix of this instance, which is the equations matrix plus the known values vector to the right. For example, if...
inherited

Operators

operator ==(Object other) → bool
The equality operator.
inherited