Проблема: стандартные массивы для очереди могут привести к необходимости дорогостоящих операций сдвига элементов при удалении.
Решение: в книге Algorithms and Data Structures for OOP With C# автор предлагает реализовать очередь на основе связного списка, что позволяет эффективно добавлять элементы в конец и удалять с начала за O(1).
Пример кода:
public class Node<T> { public T Data; public Node<T> Next;
public Node(T data) { Data = data; Next = null; } }
public class QueueLinkedList<T> { private Node<T> front, rear;
public QueueLinkedList() { front = rear = null; }
public void Enqueue(T item) { var newNode = new Node<T>(item); if (rear == null) { front = rear = newNode; return; } rear.Next = newNode; rear = newNode; }
public T Dequeue() { if (front == null) throw new InvalidOperationException("Queue is empty.");
var data = front.Data; front = front.Next;
if (front == null) rear = null;
return data; } }
Преимущества: — Нет затрат на сдвиг элементов — Высокая производительность при операциях добавления и удаления — Универсальная реализация для любых типов данных
Проблема: стандартные массивы для очереди могут привести к необходимости дорогостоящих операций сдвига элементов при удалении.
Решение: в книге Algorithms and Data Structures for OOP With C# автор предлагает реализовать очередь на основе связного списка, что позволяет эффективно добавлять элементы в конец и удалять с начала за O(1).
Пример кода:
public class Node<T> { public T Data; public Node<T> Next;
public Node(T data) { Data = data; Next = null; } }
public class QueueLinkedList<T> { private Node<T> front, rear;
public QueueLinkedList() { front = rear = null; }
public void Enqueue(T item) { var newNode = new Node<T>(item); if (rear == null) { front = rear = newNode; return; } rear.Next = newNode; rear = newNode; }
public T Dequeue() { if (front == null) throw new InvalidOperationException("Queue is empty.");
var data = front.Data; front = front.Next;
if (front == null) rear = null;
return data; } }
Преимущества: — Нет затрат на сдвиг элементов — Высокая производительность при операциях добавления и удаления — Универсальная реализация для любых типов данных
“To the extent it is used I fear it’s often for illicit finance. It’s an extremely inefficient way of conducting transactions, and the amount of energy that’s consumed in processing those transactions is staggering,” the former Fed chairwoman said. Yellen’s comments have been cited as a reason for bitcoin’s recent losses. However, Yellen’s assessment of bitcoin as a inefficient medium of exchange is an important point and one that has already been raised in the past by bitcoin bulls. Using a volatile asset in exchange for goods and services makes little sense if the asset can tumble 10% in a day, or surge 80% over the course of a two months as bitcoin has done in 2021, critics argue. To put a finer point on it, over the past 12 months bitcoin has registered 8 corrections, defined as a decline from a recent peak of at least 10% but not more than 20%, and two bear markets, which are defined as falls of 20% or more, according to Dow Jones Market Data.
That growth environment will include rising inflation and interest rates. Those upward shifts naturally accompany healthy growth periods as the demand for resources, products and services rise. Importantly, the Federal Reserve has laid out the rationale for not interfering with that natural growth transition.It's not exactly a fad, but there is a widespread willingness to pay up for a growth story. Classic fundamental analysis takes a back seat. Even negative earnings are ignored. In fact, positive earnings seem to be a limiting measure, producing the question, "Is that all you've got?" The preference is a vision of untold riches when the exciting story plays out as expected.
