Answer:
The main benefit of the ordered list is that you can apply Binary Search( O( n log n) ) to search the elements. Instead of an unordered list, you need to go through the entire list to do the search( O(n) ).
The main cost of the ordered list is that every time you insert into a sorted list, you need to do comparisons to find where to place the element( O( n log n) ). But, every time you insert into an unsorted, you don't need to find where to place the element in the list ( O(1) ). Another cost for an ordered list is where you need to delete an element, you have an extra cost rearranging the list to maintain the order.
Im only in 4th sorry i dont think i can help
Michael will use a Adobe Photoshop or CorelDraw tool to help format the text for creating an informative poster.
<h3>What application is used for graphic design?</h3>
They are:
- Adobe Photoshop
- Illustrator, GIMP
- CorelDraw
- Canva and others
Based on the American Institute of Graphic Arts (AIGA), graphic design is known to be a term that is described as “the art and method of planning and bringing forth ideas and experiences along with the use of visual and textual content.”
Therefore, Michael will use a Adobe Photoshop or CorelDraw tool to help format the text for creating an informative poster.
Learn more about graphic design from
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Answer:
40
Explanation:
Given that:
A neural network with 11 input variables possess;
one hidden layer with three hidden units; &
one output variable
For every input, a variable must go to every node.
Thus, we can calculate the weights of weight with respect to connections to input and hidden layer by using the formula:
= ( inputs + bias) × numbers of nodes
= (11 + 1 ) × 3
= 12 × 3
= 36 weights
Also, For one hidden layer (with 3 nodes) and one output
The entry result for every hidden node will go directly to the output
These results will have weights associated with them before computed in the output node.
Thus; using the formula
= (numbers of nodes + bais) output, we get;
= ( 3+ 1 ) × 1
= 4 weights
weights with respect to input and hidden layer total = 36
weights with respect to hidden and output layer total = 4
Finally, the sum of both weights is = 36 + 4
= 40
