don't make mistake of online writting

本文揭示了阻碍多数作者在线写作获得稳定收入的主要误区,并提供解决方案。强调利用写作技能创造被动收入的重要性,介绍了一个简单的流程:建立受众群体、测试市场、创建产品及报价、搭建网页收集电子邮件并维护客户关系。

How would you like to know the #1 mistake keeping most writers poor as they scramble to try and make a living writing online?

It's easy to to make and equally easy to solve. Yet many writers fail to fix it, even after they understand the problem and know a solution could provide them with enough steady income to lay the foundation that would give them all the time necessary to write their dreams a word at a time.

Any guesses?

Like me during the first two years I spent writing online, and probably like you, most writers fail to channel their talents into solid streams of passive income.

Don't let the words "passive income" fool you. This has nothing to do with banks or mutual funds or anything like that. You're a writer, which means building streams of passive income should be easier for you than most especially if you can leverage your talents for writing online.

From plumbers to teachers to lawyers, there are many professions, with salaries ranging from menial to generous, where workers would have a difficult time building passive income. Because you're a writer, building assets should be as easy for you as sitting down, detailing a strategy, then setting your sails toward that final buoy.

It's relatively easy for writers to build passive income, as long as you know what to do. You're excellent with language, and information in general. That means you can package and sell products of your design. You can synthesize difficult concepts, then simplify them in ways that make it easy for others to understand.

That's what you do. YOU have the power of language. Harness that power to help other people, and you will be able to help yourself by building the passive income you deserve. Couple the power of language with the power of the Internet, and you'll find it remarkably easy to build passive income streams.

All you have to do is follow this simple sequence.

Build your crowd, test your market, create your product and offer, then put up a squeeze page to gather an email, and communicate with your buyers through email.

Of course that's a simplification of the process. There are a lot of moving parts, and it took me a couple years to figure out how everything fits together. But the point is, you can do it.

Write a book and put it on Amazon. Publishers don't hold the cards; you do. Anyone can do it. There are a million ways to build passive income, far more than I'll ever get to in under 500 words. But believe me, modern options for a writer have few limits if you're willing to work hard, remain undaunted, and learn everything you can.

### 错误分析 以下是针对所提供的 C++ 实现 BFS 广度优先搜索代码的错误分析: #### 1. **内存泄漏** 在 `Graph::BFS` 方法中,动态分配了一个布尔数组用于记录节点是否被访问过: ```cpp bool *visited = new bool[V]; ``` 然而,在函数结束前并未释放该指针所指向的内存资源。这会导致每次调用此方法时都发生内存泄漏。 解决办法是在退出函数之前删除动态分配的空间: ```cpp delete[] visited; ``` --- #### 2. **未处理孤立节点** 如果某些节点没有任何边连接到其他节点,则这些节点不会被访问到。这是因为初始化阶段仅设置了起点为已访问状态 (`visited[s] = true`),而其余节点默认为未访问状态。对于无连通性的图来说,这种设计可能导致部分节点无法通过当前实现的方式遍历。 改进方案可以是对所有未访问过的节点分别执行一次 BFS 过程[^1]。 --- #### 3. **输入验证不足** 程序假设用户会提供有效的顶点编号作为参数传递给 `addEdge()` 和 `BFS()` 函数。但实际上应该加入边界条件判断来防止非法操作,比如尝试添加不存在或者超出范围的边缘关系。 修正后的版本可以在增加新边的时候加上这样的检查逻辑: ```cpp if(v >=0 && v<V && w>=0 && w<V){ adj[v].push_back(w); } else{ cerr << "Invalid vertex index!"<<endl; } ``` --- #### 4. **标准库依赖问题** 虽然使用了 STL 容器如 `std::list<int>` 来存储相邻列表以及队列模拟结构体,但是整个项目仍然缺乏必要的异常安全机制。当面对大规模数据集时可能会因为栈溢出等问题崩溃。 考虑改用更稳健的数据管理方式,例如利用现代 C++ 提供的功能特性(智能指针等),从而减少潜在风险并提高可维护性。 --- ### 改进后的完整代码示例 下面给出经过优化调整之后的一个版本,其中包含了上述提到的一些修复措施: ```cpp #include <iostream> #include <list> using namespace std; class Graph { private: int V; // Number of vertices list<int> *adj; // Pointer to an array containing adjacency lists public: explicit Graph(int V); // Constructor ~Graph(); // Destructor void addEdge(int v, int w); // function to add an edge to graph void BFS(int s); // prints BFS traversal from a given source 's' }; // Constructor Graph::Graph(int V) : V(V), adj(new list<int>[V]) {} // Destructor Graph::~Graph(){ delete [] adj; } void Graph::addEdge(int v, int w){ if(v >=0 && v<V && w>=0 && w<V){ // Check indices are within bounds. adj[v].push_back(w); // Add w to v’s list. } else{ cerr << "Error: Invalid Vertex Index." << endl; } } void Graph::BFS(int s){ // Mark all the vertices as not visited vector<bool> visited(V, false); // Create a queue for BFS list<int> queue; // Mark the current node as visited and enqueue it visited[s] = true; queue.push_back(s); while(!queue.empty()){ // Dequeue a vertex from queue and print it s = queue.front(); cout << s << " "; queue.pop_front(); // Get all adjacent vertices of the dequeued vertex s // If a adjacent has not been visited, then mark it visited and enqueue it for(auto &v : adj[s]){ if(!visited[v]){ visited[v] = true; queue.push_back(v); } } } // Free memory allocated for boolean array // In this case we use stack-based variable so no need explicitly free memory here. } int main(){ // Create a graph with 4 vertices numbered from 0 to 3 Graph g(4); g.addEdge(0, 1); g.addEdge(1, 2); g.addEdge(0, 3); cout << "Following is Breadth First Traversal (starting from vertex 0): \n"; g.BFS(0); return 0; } ``` --- ###
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