Implementation of merge sort that takes sublinear extra space











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I implemented an algorithm that takes only sublinear extra space as required in the exercise description:




Develop a merge implementation that reduces the extra space
requirement to max(M, N/M). (dividing the array into N/M blocks of
size M).




def insert_sort(a, lo, hi):
for i in range(lo+1, hi):
j = i
while(j>lo and a[j]<a[j-1]):
a[j], a[j-1] = a[j-1], a[j]
j -= 1

def in_place_merge(a, lo, mi, hi):
aux_hi = a[mi:hi]

for i in reversed(range(lo, hi)):
if aux_hi:
last_a = i - len(aux_hi)
if (last_a < lo or aux_hi[-1] > a[last_a]):
a[i] = aux_hi.pop()
else:
a[i] = a[last_a]
else:
break


def block_insertion_sort(a):
M = 5
for i in range(0, len(a), M):
insert_sort(a, i, min(i+M, len(a)))
if i > 0:
in_place_merge(a, 0, i, min(i+M, len(a)))


In addition, I don't understand the max(M, N/M) part, then I don't know if I have made it. Any suggestions are highly appreciated.










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    up vote
    0
    down vote

    favorite












    I implemented an algorithm that takes only sublinear extra space as required in the exercise description:




    Develop a merge implementation that reduces the extra space
    requirement to max(M, N/M). (dividing the array into N/M blocks of
    size M).




    def insert_sort(a, lo, hi):
    for i in range(lo+1, hi):
    j = i
    while(j>lo and a[j]<a[j-1]):
    a[j], a[j-1] = a[j-1], a[j]
    j -= 1

    def in_place_merge(a, lo, mi, hi):
    aux_hi = a[mi:hi]

    for i in reversed(range(lo, hi)):
    if aux_hi:
    last_a = i - len(aux_hi)
    if (last_a < lo or aux_hi[-1] > a[last_a]):
    a[i] = aux_hi.pop()
    else:
    a[i] = a[last_a]
    else:
    break


    def block_insertion_sort(a):
    M = 5
    for i in range(0, len(a), M):
    insert_sort(a, i, min(i+M, len(a)))
    if i > 0:
    in_place_merge(a, 0, i, min(i+M, len(a)))


    In addition, I don't understand the max(M, N/M) part, then I don't know if I have made it. Any suggestions are highly appreciated.










    share|improve this question


























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I implemented an algorithm that takes only sublinear extra space as required in the exercise description:




      Develop a merge implementation that reduces the extra space
      requirement to max(M, N/M). (dividing the array into N/M blocks of
      size M).




      def insert_sort(a, lo, hi):
      for i in range(lo+1, hi):
      j = i
      while(j>lo and a[j]<a[j-1]):
      a[j], a[j-1] = a[j-1], a[j]
      j -= 1

      def in_place_merge(a, lo, mi, hi):
      aux_hi = a[mi:hi]

      for i in reversed(range(lo, hi)):
      if aux_hi:
      last_a = i - len(aux_hi)
      if (last_a < lo or aux_hi[-1] > a[last_a]):
      a[i] = aux_hi.pop()
      else:
      a[i] = a[last_a]
      else:
      break


      def block_insertion_sort(a):
      M = 5
      for i in range(0, len(a), M):
      insert_sort(a, i, min(i+M, len(a)))
      if i > 0:
      in_place_merge(a, 0, i, min(i+M, len(a)))


      In addition, I don't understand the max(M, N/M) part, then I don't know if I have made it. Any suggestions are highly appreciated.










      share|improve this question















      I implemented an algorithm that takes only sublinear extra space as required in the exercise description:




      Develop a merge implementation that reduces the extra space
      requirement to max(M, N/M). (dividing the array into N/M blocks of
      size M).




      def insert_sort(a, lo, hi):
      for i in range(lo+1, hi):
      j = i
      while(j>lo and a[j]<a[j-1]):
      a[j], a[j-1] = a[j-1], a[j]
      j -= 1

      def in_place_merge(a, lo, mi, hi):
      aux_hi = a[mi:hi]

      for i in reversed(range(lo, hi)):
      if aux_hi:
      last_a = i - len(aux_hi)
      if (last_a < lo or aux_hi[-1] > a[last_a]):
      a[i] = aux_hi.pop()
      else:
      a[i] = a[last_a]
      else:
      break


      def block_insertion_sort(a):
      M = 5
      for i in range(0, len(a), M):
      insert_sort(a, i, min(i+M, len(a)))
      if i > 0:
      in_place_merge(a, 0, i, min(i+M, len(a)))


      In addition, I don't understand the max(M, N/M) part, then I don't know if I have made it. Any suggestions are highly appreciated.







      python algorithm mergesort genetic-algorithm






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      edited 19 mins ago









      Jamal

      30.2k11115226




      30.2k11115226










      asked 1 hour ago









      lerner

      1365




      1365



























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