您还可以在编写作用于方法的泛型代码时使用lambda表达式。

例如:计算方法调用所花费的时间的泛型函数。(即这里的动作)

public static long Measure(Action action)
{
    Stopwatch sw = new Stopwatch();
    sw.Start();
    action();
    sw.Stop();
    return sw.ElapsedMilliseconds;
}

你可以使用lambda表达式调用上述方法，如下所示，

var timeTaken = Measure(() => yourMethod(param));

表达式允许您从方法和out参数中获取返回值

var timeTaken = Measure(() => returnValue = yourMethod(param, out outParam));

Microsoft has given us a cleaner, more convenient way of creating anonymous delegates called Lambda expressions. However, there is not a lot of attention being paid to the expressions portion of this statement. Microsoft released a entire namespace, System.Linq.Expressions, which contains classes to create expression trees based on lambda expressions. Expression trees are made up of objects that represent logic. For example, x = y + z is an expression that might be part of an expression tree in .Net. Consider the following (simple) example:

using System;
using System.Linq;
using System.Linq.Expressions;


namespace ExpressionTreeThingy
{
    class Program
    {
        static void Main(string[] args)
        {
            Expression<Func<int, int>> expr = (x) => x + 1; //this is not a delegate, but an object
            var del = expr.Compile(); //compiles the object to a CLR delegate, at runtime
            Console.WriteLine(del(5)); //we are just invoking a delegate at this point
            Console.ReadKey();
        }
    }
}

This example is trivial. And I am sure you are thinking, "This is useless as I could have directly created the delegate instead of creating an expression and compiling it at runtime". And you would be right. But this provides the foundation for expression trees. There are a number of expressions available in the Expressions namespaces, and you can build your own. I think you can see that this might be useful when you don't know exactly what the algorithm should be at design or compile time. I saw an example somewhere for using this to write a scientific calculator. You could also use it for Bayesian systems, or for genetic programming (AI). A few times in my career I have had to write Excel-like functionality that allowed users to enter simple expressions (addition, subtrations, etc) to operate on available data. In pre-.Net 3.5 I have had to resort to some scripting language external to C#, or had to use the code-emitting functionality in reflection to create .Net code on the fly. Now I would use expression trees.

很多时候，您只在一个地方使用功能，所以创建方法只会使类变得混乱。

Lambda清理了c# 2.0的匿名委托语法…例如

Strings.Find(s => s == "hello");

在c# 2.0中是这样完成的:

Strings.Find(delegate(String s) { return s == "hello"; });

在功能上，它们做的是完全相同的事情，只是语法更简洁。

创新在于类型的安全性和透明度。虽然您没有声明lambda表达式的类型，但它们是推断出来的，并且可以由代码搜索、静态分析、重构工具和运行时反射使用。

例如，在您使用SQL之前，可能会受到SQL注入攻击，因为黑客在通常需要数字的地方传递了一个字符串。现在您将使用LINQ lambda表达式，这是受保护的。

在纯委托上构建LINQ API是不可能的，因为它需要在计算表达式树之前将它们组合在一起。

2016年，大多数流行语言都支持lambda表达式，c#是主流命令式语言中这一演变的先驱之一。

在c#中，我们不能像在JavaScript中那样将函数作为参数传递。解决方法是使用委托。

当我们想参数化行为而不是值时，我们使用委托。Lambdas是编写委托的实用语法，可以很容易地将行为作为函数传递。