You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+6-6Lines changed: 6 additions & 6 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -5,17 +5,17 @@
5
5
6
6
PyNormaliz provides an interface to [Normaliz](https://www.normaliz.uni-osnabrueck.de) via libNormaliz.
7
7
It offers the complete functionality of Normaliz, and can be used interactively from python.
8
-
For a first example, see [this introduction](doc/PyNormaliz_Tutorial.pdf) by Richard Sieg (Slighty outdated: for the installation follow the instructions below).
8
+
For a first example, see [this introduction](doc/PyNormaliz_Tutorial.pdf) by Richard Sieg (Slightly outdated: for the installation follow the instructions below).
9
9
10
-
A full documentation is conatined in [Appendix E](doc/PyNormaliz.pdf) of the Normaliz manial.
10
+
A full documentation is contained in [Appendix E](doc/PyNormaliz.pdf) of the Normaliz manual.
11
11
12
12
13
13
## Requirements
14
14
15
15
* python 3.4 or higher
16
16
* Normaliz 3.10.2 or higher <https://github.com/Normaliz/Normaliz/releases>
17
17
18
-
The source packages of the Normaliz realeases contain PyNormaliz.
18
+
The source packages of the Normaliz releases contain PyNormaliz.
19
19
20
20
## Installation
21
21
@@ -53,7 +53,7 @@ returns what its name says:
53
53
54
54
[[0, 1], [1, 0]]
55
55
56
-
is the matrix of the two Hilbert basis vectors. The ouput matrices of PyNormaliz can be used also in Normaliz input files.
56
+
is the matrix of the two Hilbert basis vectors. The output matrices of PyNormaliz can be used also in Normaliz input files.
57
57
58
58
One can pass options to the compute functions as in
59
59
@@ -63,7 +63,7 @@ Note that some Normaliz output types must be specially encoded for python. Our H
63
63
64
64
[[1], [1, 1], 0]
65
65
66
-
to be read as follows: [1] is the numerator polynomial, [1,1] is the vector of exponents of t that occur in the denominator, which is (1-t)(1-t) in our case, and 0 is the shift. So the Hilbert series is given by the rational function 1/(1-t)(1-t). (Aoso see ee[this introduction](doc/PyNormaliz_Tutorial.pdf).) But we can use
66
+
to be read as follows: [1] is the numerator polynomial, [1,1] is the vector of exponents of t that occur in the denominator, which is (1-t)(1-t) in our case, and 0 is the shift. So the Hilbert series is given by the rational function 1/(1-t)(1-t). (Also see [this introduction](doc/PyNormaliz_Tutorial.pdf).) But we can use
67
67
68
68
print_series(C.HilbertSeries(HSOP = True))
69
69
@@ -74,7 +74,7 @@ with the result
74
74
(1 - t)^2
75
75
76
76
77
-
One can also compute several data simultaneously and specify options ("PrimalMode" only added as an example, not because ot is particularly useful here):
77
+
One can also compute several data simultaneously and specify options ("PrimalMode" only added as an example, not because it is particularly useful here):
0 commit comments