编写代码利用稀疏矩阵的链式存储实现稀疏矩阵的加,减,乘,转置等简单运算
时间: 2024-03-18 08:40:26 浏览: 16
以下是Python语言实现的稀疏矩阵加、减、乘、转置运算的代码,其中使用三元组的链式存储结构:
```python
class Node:
def __init__(self, i, j, value):
self.i = i
self.j = j
self.value = value
self.next = None
class SparseMatrix:
def __init__(self, row, col):
self.row = row
self.col = col
self.head = None
def insert(self, i, j, value):
if i < 0 or i >= self.row or j < 0 or j >= self.col:
print("Index out of range")
return
new_node = Node(i, j, value)
if self.head is None:
self.head = new_node
return
cur = self.head
pre = None
while cur and cur.i < i:
pre = cur
cur = cur.next
while cur and cur.i == i and cur.j < j:
pre = cur
cur = cur.next
if cur and cur.i == i and cur.j == j:
cur.value += value
if cur.value == 0:
if pre is None:
self.head = cur.next
else:
pre.next = cur.next
return
if pre is None:
self.head = new_node
else:
pre.next = new_node
new_node.next = cur
def add(self, other):
if self.row != other.row or self.col != other.col:
print("Invalid operation")
return None
res = SparseMatrix(self.row, self.col)
cur1 = self.head
cur2 = other.head
while cur1 and cur2:
if cur1.i < cur2.i or (cur1.i == cur2.i and cur1.j < cur2.j):
res.insert(cur1.i, cur1.j, cur1.value)
cur1 = cur1.next
elif cur1.i > cur2.i or (cur1.i == cur2.i and cur1.j > cur2.j):
res.insert(cur2.i, cur2.j, cur2.value)
cur2 = cur2.next
else:
res.insert(cur1.i, cur1.j, cur1.value + cur2.value)
cur1 = cur1.next
cur2 = cur2.next
while cur1:
res.insert(cur1.i, cur1.j, cur1.value)
cur1 = cur1.next
while cur2:
res.insert(cur2.i, cur2.j, cur2.value)
cur2 = cur2.next
return res
def subtract(self, other):
if self.row != other.row or self.col != other.col:
print("Invalid operation")
return None
res = SparseMatrix(self.row, self.col)
cur1 = self.head
cur2 = other.head
while cur1 and cur2:
if cur1.i < cur2.i or (cur1.i == cur2.i and cur1.j < cur2.j):
res.insert(cur1.i, cur1.j, cur1.value)
cur1 = cur1.next
elif cur1.i > cur2.i or (cur1.i == cur2.i and cur1.j > cur2.j):
res.insert(cur2.i, cur2.j, -cur2.value)
cur2 = cur2.next
else:
res.insert(cur1.i, cur1.j, cur1.value - cur2.value)
cur1 = cur1.next
cur2 = cur2.next
while cur1:
res.insert(cur1.i, cur1.j, cur1.value)
cur1 = cur1.next
while cur2:
res.insert(cur2.i, cur2.j, -cur2.value)
cur2 = cur2.next
return res
def multiply(self, other):
if self.col != other.row:
print("Invalid operation")
return None
res = SparseMatrix(self.row, other.col)
cur1 = self.head
while cur1:
cur2 = other.head
while cur2:
if cur1.j == cur2.i:
res.insert(cur1.i, cur2.j, cur1.value * cur2.value)
cur2 = cur2.next
cur1 = cur1.next
return res
def transpose(self):
res = SparseMatrix(self.col, self.row)
cur = self.head
while cur:
res.insert(cur.j, cur.i, cur.value)
cur = cur.next
return res
def print_matrix(self):
for i in range(self.row):
for j in range(self.col):
cur = self.head
while cur and cur.i < i:
cur = cur.next
while cur and cur.i == i and cur.j < j:
cur = cur.next
if cur and cur.i == i and cur.j == j:
print(cur.value, end=" ")
else:
print(0, end=" ")
print()
```
在上述代码中,SparseMatrix 类表示稀疏矩阵,Node 类表示三元组链表中的节点。insert 方法用于向稀疏矩阵中插入一个元素;add 方法用于实现稀疏矩阵加法;subtract 方法用于实现稀疏矩阵减法;multiply 方法用于实现稀疏矩阵乘法;transpose 方法用于实现稀疏矩阵转置;print_matrix 方法用于输出稀疏矩阵。