Answer:
In ADT graph the efficiency of addVertex has efficiency O(logn).
Explanation:
The time complexity of the method addvertex in ADT graph is O(logn). addVertex method has time complexity of O(logn) because it has to divide the list in half and add the vertex according to the place where the needs to be added.
hence we conclude that the answer is O(logn).
therefore the frequency = 6×10^14
project management... we use this software to plan and schedule event and resources.
Answer:
B. GRID COMPUTING , ON - DEMAND COMPUTING AND REAL TIME COMPUTING
Explanation:
Grid computing, on-demand computing and real time computing are currently the most impactful information technology processes. The Grid computing from example entails distributed computing whereby computing resources are distributed across different systems for a computing task. This is seen in server systems where a super virtual computer composed of a network of computers are connected to share resources and perform large tasks. This form of computing has majorly affected and improved complex computing tasks today.
On demand and real time computing are also other notable trends in IT with real time computing bringing the power of live and direct coverage of information to our screens and on demand making it possible for the average user to access computing resources as needed such as in the services of cloud computing providers
Numpy is among the most prevalent science computer science bundles in Python, and the following are the discussion on the use of transpose function:
- Transpose() is among the most important <em>matrix multiplication functions</em>.
- It is used to changes elements of the <em><u>row into column</u></em> elements and the elements of the <em><u>column into rows</u></em> elements.
- The output of this function is an original modified array.
Therefore, the transpose function in NumPy is being used to <em><u>switch positions of rows to columns or columns to rows</u></em>.
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