Yes, all the time. Sometimes, it's feeling based. You get a bad vibe from someone, and you tend to go without without really giving said person a chance. Sometimes those vibes are helpful, sometimes it's you overreacting from bad experiences. (: hope all is well!
Answer:
To avoid collision of transmitting frames.
Explanation:
CSMA/CA, carrier sense multiple access is a media access control protocol of wireless networks that allows for exclusive transmission of frames and avoidance of collision in the network. When a frame is not being sent, nodes listening for an idle channel gets their chance. It sends a request to send (RTS) message to the access point. If the request is granted, the access point sends a clear to send (CTS) message to the node, then the node can transmit its frame.
Many nodes on a wireless network are listening to transmit frames, when a frame is transmitting, the node has to wait for the access point to finish transmitting, so it sends a RTS message again to exclusively transmit a second frame.
Answer:
Using the Task Manager to disable the OneDrive startup program.
Explanation:
To stop OneDrive for Business application from opening every time you start your computer you can use task Manager to disable the OneDrive startup program.
This can be achieved by:
- Press Ctrl+Shift+Esc keys together to open Task Manager. You can also open it by right-click on Taskbar and select Task Manager option.
- Now go to "Startup" tab in Task Manager, select "Microsoft OneDrive" item given in the list and click on "Disable" button.
- That's it. Restart your computer and OneDrive will no longer start with Windows.
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.
Sure what is the question though
