You would go west. Japan is closer to Hawaii than any other state.
Answer:
The problems or risk when using a WiFi is that, hackers often have the ability to position themselves between the user and the end point connection. and once these hackers gains access to your information and privacy, u might lose important documents or contents.
It is of utmost importance that when an end user is using a public WiFi as a WAN, he/she must ensure to browse with VPN turned on, and the sharing options turned off.
Explanation:
Solution
One of the biggest risk with public WiFi is the ability or capacity for hackers to position themselves between you (user) and the point of connection. so instead of communicating directly with the hotpot, at several times you end up sending your information to the hacker.
The hacker also have access or privileges to every information you send out such as credit card information, emails and so on. once the hacker gains access to that information, you run into trouble.
As an end user when making use of public WiFi to ensure to browse with VPN (Virtual private Network) on and turned off sharing options
Answer:
Greedy is an algorithmic paradigm that builds up a solution piece by piece, always choosing the next piece that offers the most obvious and immediate benefit. Greedy algorithms are used for optimization problems. An optimization problem can be solved using Greedy if the problem has the following property: At every step, we can make a choice that looks best at the moment, and we get the optimal solution of the complete problem.
If a Greedy Algorithm can solve a problem, then it generally becomes the best method to solve that problem as the Greedy algorithms are in general more efficient than other techniques like Dynamic Programming. But Greedy algorithms cannot always be applied. For example, the Fractional Knapsack problem (See this) can be solved using Greedy, but 0-1 Knapsack cannot be solved using Greedy.
The following are some standard algorithms that are Greedy algorithms.
1) Kruskal’s Minimum Spanning Tree (MST): In Kruskal’s algorithm, we create an MST by picking edges one by one. The Greedy Choice is to pick the smallest weight edge that doesn’t cause a cycle in the MST constructed so far.
2) Prim’s Minimum Spanning Tree: In Prim’s algorithm also, we create an MST by picking edges one by one. We maintain two sets: a set of the vertices already included in MST and the set of the vertices not yet included. The Greedy Choice is to pick the smallest weight edge that connects the two sets.
3) Dijkstra’s Shortest Path: Dijkstra’s algorithm is very similar to Prim’s algorithm. The shortest-path tree is built up, edge by edge. We maintain two sets: a set of the vertices already included in the tree and the set of the vertices not yet included. The Greedy Choice is to pick the edge that connects the two sets and is on the smallest weight path from source to the set that contains not yet included vertices.
4) Huffman Coding: Huffman Coding is a loss-less compression technique. It assigns variable-length bit codes to different characters. The Greedy Choice is to assign the least bit length code to the most frequent character. The greedy algorithms are sometimes also used to get an approximation for Hard optimization problems. For example, the Traveling Salesman Problem is an NP-Hard problem. A Greedy choice for this problem is to pick the nearest unvisited city from the current city at every step. These solutions don’t always produce the best optimal solution but can be used to get an approximately optimal solution.
If you mean Excel formula sum(c5:c18) in cell c19 will show <span>c. the total of cells c5 to c18 will appear in cell c19. It's simple operation that simplyfies counting different values.</span>
Well it depends on the topic he is doing. if it is a list then a plain doc with a list of numbers. if he is writing a letter then he should use the letter template.
