Meaning of the annotations for the proof of each method:
- loop: the method seems to be part of a loop or recursion
- inherits: the method seems to call a method that possibly diverges
- may_diverge: proved the existence of at least a diverging execution
- local_polyh: proved to terminate by using a local linear ranking function for the binary unfolding with polyhedra
- local_bds: proved to terminate by using local linear ranking functions for the binary unfolding with bounded difference shapes
- local_sct: proved to terminate via the size change termination principle with monotonicity constraints
- global_lex_aff_rnkfn: proved to terminate by using a global lexicographic affine ranking function
- finite_unfoldings: proved to terminate since there is a finite number of undoldings
  * numerical: the ranking function uses numerical variables or fields
  * structural: the ranking function uses reference variables or fields

These methods do not introduce divergence:
[loop,numerical,structural,local_sct]        Matrix.product(Matrix):Matrix
[loop,numerical,structural,local_sct]        Matrix.(double[][]):void
[loop,structural,local_sct]                  Matrix.determinant():double
[loop,numerical,structural,local_sct]        Matrix.sum(Matrix):Matrix
[loop,numerical,structural,local_sct]        Matrix.submatrix(int,int):Matrix
[loop,numerical,structural,local_sct]        Matrix.transpose():Matrix
[loop,numerical,structural,local_sct]        Matrix.main(java.lang.String[]):void
[loop,numerical,structural,local_sct]        Matrix.(int):void

There is at least a diverging computation for these methods:
  none

Nothing is known about these methods:
  none

Methods that might introduce divergence: 0/8 (  0.00%)
Methods that do might introduce or inherit divergence: 0/8 (  0.00%)
Methods that definitely terminate: 8/8 (100.00%)

There are no warnings