F sharp代码示例
时间: 2023-04-02 21:03:24 浏览: 72
好的,下面是一个 F# 示例代码:
```fsharp
// 这是 F# 程序的第一行注释
// 定义一个函数,名为 "add",它接受两个数字参数 x 和 y,并返回它们的和
let add x y = x + y
// 调用函数并打印输出
printfn "3 + 4 = %d" (add 3 4)
```
这段代码会输出 "3 + 4 = 7"。
相关问题
F sharp实现平衡二叉树算法的代码
首先,F# 是一种函数式编程语言,可以在 .NET 平台上运行。如果你想在 F# 中实现平衡二叉树算法,你需要了解这种数据结构的基本知识,然后使用递归和模式匹配来实现它。
下面是一个 F# 的平衡二叉树示例代码,它实现了插入、查找、删除和遍历操作:
```
type BinaryTree<'T> =
| Leaf
| Node of BinaryTree<'T> * 'T * BinaryTree<'T> * int
type BinarySearchTree<'T when 'T : comparison> =
| Leaf
| Node of BinarySearchTree<'T> * 'T * BinarySearchTree<'T> * int
let rec insert value tree =
match tree with
| Leaf -> Node(Leaf, value, Leaf, 1)
| Node(left, nodeValue, right, _) ->
if value < nodeValue then
let newLeft = insert value left
Node(newLeft, nodeValue, right, newLeft.Height + 1)
else
let newRight = insert value right
Node(left, nodeValue, newRight, newRight.Height + 1)
let rec find value tree =
match tree with
| Leaf -> false
| Node(left, nodeValue, right, _) ->
if value = nodeValue then true
elif value < nodeValue then find value left
else find value right
let rec deleteMin tree =
match tree with
| Leaf -> Leaf
| Node(Leaf, value, right, _) -> right
| Node(left, value, right, _) ->
let newLeft = deleteMin left
Node(newLeft, value, right, newLeft.Height + 1)
let rec deleteMax tree =
match tree with
| Leaf -> Leaf
| Node(left, value, Leaf, _) -> left
| Node(left, value, right, _) ->
let newRight = deleteMax right
Node(left, value, newRight, newRight.Height + 1)
let rec delete value tree =
match tree with
| Leaf -> Leaf
| Node(left, nodeValue, right, _) ->
if value = nodeValue then
match left, right with
| Leaf, Leaf -> Leaf
| Leaf, _ -> right
| _, Leaf -> left
| _, _ ->
let minValue = minValue right
let newRight = deleteMin right
Node(left, minValue, newRight,
C Sharp代码实现Gabor滤波器
可以调用Emgu CV库中的Gabor滤波器实现。以下是示例代码:
using Emgu.CV;
using Emgu.CV.CvEnum;
using Emgu.CV.Structure;
...
// 定义Gabor核的参数
double lambda = 4;
double theta = Math.PI / 4;
double psi = Math.PI / 4;
double sigma = 2;
double gamma = 0.5;
// 调用Gabor滤波器
Image<Gray, float> srcImg = ...
Image<Gray, float> dstImg = new Image<Gray, float>(srcImg.Size);
CvInvoke.cvFilter2D(srcImg.Ptr, dstImg.Ptr, CvEnum.CV_DEPTH.CV_32F,
CvInvoke.cvGetGaborKernel(new Size(9, 9), sigma, theta, lambda, gamma, psi, Emgu.CV.CvEnum.GABOR_TYPE.GABOR_REAL),
new Point(-1, -1));
// 显示结果
ImageViewer.Show(dstImg, "Gabor Filtered Image");