mirror of
https://github.com/kuhyx/WUT_Computer_Science.git
synced 2026-07-04 19:23:03 +02:00
29 lines
723 B
Python
29 lines
723 B
Python
|
class LinearAlgebraUtils:
|
||
|
|
@staticmethod
|
||
|
|
def dot_product(v1, v2):
|
||
|
|
return sum(x*y for x, y in zip(v1, v2))
|
||
|
|
|
||
|
|
@staticmethod
|
||
|
|
def matrix_vector_multiply(A, x):
|
||
|
|
return [LinearAlgebraUtils.dot_product(row, x) for row in A]
|
||
|
|
|
||
|
|
@staticmethod
|
||
|
|
def vector_subtraction(v1, v2):
|
||
|
|
return [x-y for x, y in zip(v1, v2)]
|
||
|
|
|
||
|
|
@staticmethod
|
||
|
|
def vector_addition(v1, v2):
|
||
|
|
return [x+y for x, y in zip(v1, v2)]
|
||
|
|
|
||
|
|
@staticmethod
|
||
|
|
def scalar_multiply(omega, vector):
|
||
|
|
return [omega * x for x in vector]
|
||
|
|
|
||
|
|
@staticmethod
|
||
|
|
def vector_norm(v):
|
||
|
|
return sum(x*x for x in v)**0.5
|
||
|
|
|
||
|
|
@staticmethod
|
||
|
|
def scalar_divide(x, scalar):
|
||
|
|
return [xi / scalar for xi in x]
|