Python | sympy partitions.RGS_generalized () metodo

|

Con il metodo sympy.combinatorics.partitions.RGS_generalized() possiamo ottenere una riga a crescita illimitata m + 1 e restituire la matrice usando sympy.combinatorics . partitions.RGS_generalized () .

Sintassi: sympy.combinatorics.partitions.RGS_generalized (m)
Ritorno: Ritorno una matrice di dimensione m + 1.

Esempio n. 1:
In questo esempio, lo vediamo con sympy.combinatorics.partitions .RGS_generalized () possiamo ottenere una riga di crescita illimitata e restituire una matrice di dimensione m + 1.

Output:

Matrice (
[[1, 1, 1, 1],
[1, 2, 3, 0],
[2, 5, 0, 0],
/> [5, 0, 0, 0]])

Esempio n. 2:

# import sympy e RGS_generalized

da sympy.combinatorics.partitions import RGS_generalized

da sympy import *


# Utilizzo del metodo sympy.combinatorics.partitions.RGS_generalized ()

gfg = RGS_generalized ( 3 )

print (gfg)

< /table>

Output:

Matrice (
[[ 1, 1, 1, 1, 1, 1, 1],
[1, 2, 3, 4, 5, 6, 0],
[2, 5, 10, 17, 26, 0, 0], < br /> [5, 15, 37, 77, 0, 0, 0],
[15, 52, 151, 0, 0, 0, 0],
[52, 203, 0, 0, 0, 0, 0],
[203, 0, 0, 0, 0, 0, 0]])

Shop

Learn programming in R: courses

$

Best Python online courses for 2022

$

Best laptop for Fortnite

$

Best laptop for Excel

$

Best laptop for Solidworks

$

Best laptop for Roblox

$

Best computer for crypto mining

$

Best laptop for Sims 4

$

Latest questions

NUMPYNUMPY

psycopg2: insert multiple rows with one query

12 answers

NUMPYNUMPY

How to convert Nonetype to int or string?

12 answers

NUMPYNUMPY

How to specify multiple return types using type-hints

12 answers

NUMPYNUMPY

Javascript Error: IPython is not defined in JupyterLab

12 answers


Wiki

Python OpenCV | cv2.putText () method

numpy.arctan2 () in Python

Python | os.path.realpath () method

Python OpenCV | cv2.circle () method

Python OpenCV cv2.cvtColor () method

Python - Move item to the end of the list

time.perf_counter () function in Python

Check if one list is a subset of another in Python

Python os.path.join () method

# import sympy e RGS_generalized

da sympy.combinatorics.partitions import RGS_generalized

da sympy import *


# Utilizzo di sympy.combinatorics .partitions.RGS_generalized () metodo

gfg = RGS_generalized ( 6 )

print (gfg)