学习算法三个要素:
1、验证算法的正确性
2、分析算法的效率
3、如何提高算法的效率
以下是两个算除法的“玩具”算法,请验证其正确性,分析它们的效率并进行对比,并思考是否可以进一步提高除法的效率。最后这个问题不容易。
def QuoRem(a, b):
q, r = 0, 0
while(a >= b):
a, q = a - b, q + 1
r = a
return q, r
def BinaryQuoRem(a, b):
if(a == 0):
return 0, 0
q, r = BinaryQuoRem(a // 2, b)
q, r = 2 * q, 2 * r
if(a & 1): #if a is an odd number
r = r + 1
if(r >= b):
r, q = r - b, q + 1
return q, r
GCD 与Binary GCD的对比
为什么需要Binary GCD?
为什么看上去Binary GCD更高效?
但是,Binary GCD真的更高效吗?为什么是,为什么不是?
请分析下面这两个算法,并回答以上问题。
# Function to implement Euclidean Algorithm
def gcd(a, b):
while(b):
a, b = b, a % b
return a
# Function to implement Stein's Algorithm
def binary_gcd( a, b) :
# GCD(0, b) == b; GCD(a, 0) == a,
# GCD(0, 0) == 0
if (a == 0) :
return b
if (b == 0) :
return a
# Finding K, where K is the greatest
# power of 2 that divides both a and b.
k = 0
while(((a | b) & 1) == 0) :
a = a >> 1
b = b >> 1
k = k + 1
# Dividing a by 2 until a becomes odd
while ((a & 1) == 0) :
a = a >> 1
# From here on, 'a' is always odd.
while(b != 0) :
# If b is even, remove all factor of
# 2 in b
while ((b & 1) == 0) :
b = b >> 1
# Now a and b are both odd. Swap if
# necessary so a <= b, then set
# b = b - a (which is even).
if (a > b) :
# Swap u and v.
a, b = b, a
b = (b - a)
# restore common factors of 2
return (a << k)
总结
算法分析实在是太难了!
参考文献
1、对Binary GCD的分析
2、Recursive Binary GCD
3、快速乘法及其应用
2018.0518
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