Answer:
member wise Initialization.
Explanation:
Member wise initialization is used for the following cases:-
- When you have constant member in your class.
- When you have Reference member in your class.
- When you have a very large member in your class.
- When you have a member with no default constructor.
Member wise initialization is uses initialization and the direct initialization uses assignment.
1. C. you are reusing, because instead of throwing the couch away, you gave it to someone who will "reuse" it.
2. I'm not sure, but I would say B. recycling. Repurposing things that you have no use for limits how much waste there is and how much must be manufactured. This reduces pollution and limits the burden on the environment.
3. A. is the answer, it is pre-consumer waste because the waste is from the manufacturing process. The waste is not from the consumer(whoever buys the product) so not B. and I doubt it is C. or D.
4. A. is the answer. Burning waste produces greenhouse gasses. B. can't be true, because the gasses from the burning are not the raw material. C. and D. couldn't be the case because water was not present in the disposal.
5. is A. compost center because they only take green waste.
6. A. the orange peal is the only option that is biodegradable.
Answer:
UV filter, This filter blocks UV light and removes the blue cast from images taken in very bright sunny conditions. ... With old film cameras it was often necessary to use a UV filter because film is extremely sensitive to UV light.
Answer:
It is .com because all the others are school-safe. And .com is snatch-able.
Explanation:
Answer:
linear search be preferable over a binary search because In binary search the input data must be sorted before searching but in linear search input data need not to be sorted .
As input data need not to be sorted in linear searching so the complexity of linear sorting is O(n) but in binary search if input data is not sorted then firstly be sorted the data then after that it perform searching so the complexity of binary search if input data is not sorted is O(nlogn+logn)
Their are some important points linear search over binary search
linear searches searches the data linearlly so it perform equality comparison and binary searches the data randomly so perform ordering comparison.
