Pythonic Code - Linear algebra codes

학습 목표

선형대수의 여러가지 간단한 기법들을 python code 로 표현하는 방법을 알아봅니다.

핵심 키워드

• Vector
• Matrix
  
• Matrix addition
• Matrix Product

강의영상

강의 코드

• zip 을 사용하여 vector 계산하기
  

  u = [2, 2]
  v = [2, 3]
  z = [3, 5]
  
  result = [sum(t) in zip(u, v, z)]
  print(result)

• Scalar-Vector product
  

  u = [1, 2, 3]
  v = [4, 5, 6]
  alpha = 2
  
  result = [for z in zip(u, v)]
  print(result)

• Matrix addition
  

  matrix_a  = [[3, 6], [4, 5]]
  matrix_a  = [[5, 8], [3, 7]]
  
  result = [[sum(row) for row in zip(*t)] for t in zip(matrix_a, matrix_b)]
  
  print(result)

• Scalar-Matrix Product
  

  matrix_a = [[3, 6], [4, 5]]
  alpha = 4
  result = [[alpha * element for element in t] for t in matrix_a]
  
  print(result)

•  Matrix Transpose

  matrix_a = [[1, 2, 3], [4, 5, 6]]
  result = [[element for element in t] for t in zip(*matrix_a)]
  
  print(result)​

• Matrix Product

  matrix_a = [[1, 1, 2], [2, 1, 1]]
  matrix_b = [[1, 1], [2, 1], [1, 3]]
  result = [[sum(a * b for a, b in zip(row_a, column_b))
            for column_b in zip(*matrix_b)] for row_a in matrix_a]
  print(result)​

학습자료