use*_*242 11 stack-overflow recursion scala
直接剪切和粘贴以下算法:
def msort[T](less: (T, T) => Boolean)
(xs: List[T]): List[T] = {
def merge(xs: List[T], ys: List[T]): List[T] =
(xs, ys) match {
case (Nil, _) => ys
case (_, Nil) => xs
case (x :: xs1, y :: ys1) =>
if (less(x, y)) x :: merge(xs1, ys)
else y :: merge(xs, ys1)
}
val n = xs.length / 2
if (n == 0) xs
else {
val (ys, zs) = xs splitAt n
merge(msort(less)(ys), msort(less)(zs))
}
}
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导致5000个长列表上的StackOverflowError.
有没有办法优化这个,以便不会发生这种情况?
Dan*_*ral 17
这样做是因为它不是尾递归的.您可以通过使用非严格集合或使其尾递归来解决此问题.
后一个解决方案是这样的:
def msort[T](less: (T, T) => Boolean)
(xs: List[T]): List[T] = {
def merge(xs: List[T], ys: List[T], acc: List[T]): List[T] =
(xs, ys) match {
case (Nil, _) => ys.reverse ::: acc
case (_, Nil) => xs.reverse ::: acc
case (x :: xs1, y :: ys1) =>
if (less(x, y)) merge(xs1, ys, x :: acc)
else merge(xs, ys1, y :: acc)
}
val n = xs.length / 2
if (n == 0) xs
else {
val (ys, zs) = xs splitAt n
merge(msort(less)(ys), msort(less)(zs), Nil).reverse
}
}
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使用非严格性涉及按名称传递参数,或使用非严格的集合,如Stream.以下代码Stream仅用于防止堆栈溢出,以及List其他地方:
def msort[T](less: (T, T) => Boolean)
(xs: List[T]): List[T] = {
def merge(left: List[T], right: List[T]): Stream[T] = (left, right) match {
case (x :: xs, y :: ys) if less(x, y) => Stream.cons(x, merge(xs, right))
case (x :: xs, y :: ys) => Stream.cons(y, merge(left, ys))
case _ => if (left.isEmpty) right.toStream else left.toStream
}
val n = xs.length / 2
if (n == 0) xs
else {
val (ys, zs) = xs splitAt n
merge(msort(less)(ys), msort(less)(zs)).toList
}
}
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只是玩scala TailCalls(蹦床支持),我怀疑这个问题最初提出时并不存在.这是Rex答案中合并的递归不可变版本.
import scala.util.control.TailCalls._
def merge[T <% Ordered[T]](x:List[T],y:List[T]):List[T] = {
def build(s:List[T],a:List[T],b:List[T]):TailRec[List[T]] = {
if (a.isEmpty) {
done(b.reverse ::: s)
} else if (b.isEmpty) {
done(a.reverse ::: s)
} else if (a.head<b.head) {
tailcall(build(a.head::s,a.tail,b))
} else {
tailcall(build(b.head::s,a,b.tail))
}
}
build(List(),x,y).result.reverse
}
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List[Long]在64位OpenJDK(在i7上的Debian/Squeeze amd64)上运行Scala 2.9.1 上的大s上的可变版本的速度和运行速度一样快.