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Burka [1]
3 years ago
6

What are 25 items that trees made?

Computers and Technology
2 answers:
alexandr1967 [171]3 years ago
6 0

Answer:

(things,can't think of more

.......)

  • paper
  • charcoal
  • doors
  • chairs
  • jewelry
  • wood frames
  • broom handles
  • furniture made with wood
Amiraneli [1.4K]3 years ago
3 0

Answer:

Wood

cabins

paper

chorcal

perfume

lemons

apples

lime

oxygen

bark

animals

vines

jungle

oak forest

spruce forest

good photos

torches

history

swamps

Explanation:

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B.how fast the compressor starts to work
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4 years ago
The leading membranophone in "Kan andi ghazal" is the ________. (If you can not access the audio file here, please go to modules
ICE Princess25 [194]

Answer:

Tabl Baladi

Explanation:

The Tabl Baladi is a large drum with wood frame and heavy skin on both sides. It is hung by a belt around the player's shoulder is and played with two sticks: the thick one is for the dum sound played with the dominant hand, and the thin stick is for the tak sound played with the other hand.

It is mostly used in classical Arab (Middle Eastern) music. Kan Andi Ghazal is a song by the Lebanese musician Wael Jassar.

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4 years ago
ALGUEM SABE COMO MUDA O NOME DE PERFIL!?!?!? SE SOUBER ME AJUDA!!
Delicious77 [7]

Answer:

The following are the steps to change the profile name.

Explanation:

In the given question it is not defined in which we change the profile name.so, we define the steps to change the profile name social media like (Face book).

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3 years ago
My friend Leo wants to have an emergency plan for his final exams on University of Southern Algorithmville. He has N subjects to
leonid [27]

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.

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3 years ago
Please answer this please
dexar [7]

Answer:

It's not a question.

Explanation:

3 0
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