Analysis the Algorithms on basis of two factors Computational Cost and Memory Cost?
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- Algorithmic Performance, as you are aware, consists (mainly) of 2 dimensions: Time and Space. From a technical perspective, discuss the following: • How would you go about estimating the time required for an algorithm's efficiency (i.e. time to complete in terms of its potential complexity)? What techniques can you use? Give an example of how to measure it.Discuss, with example, cases where multithreaded algorithm is efficient and where it contributes little performance improvementList the reasons to study space complexity and time complexity?
- Define the concepts of logarithm, linear, and quadratic when analyzing algorithms. What are some of the pros and cons associated with utilizing Big-Oh notation to analyze an algorithm? How can analyzing the efficiency of an algorithm lead to improvements in the initial design? Please and thank youIf there is a difference between the Harvard and von Neumann computer designs, what exactly is that difference?how to analysis Performance of an algorithm?
- How can we design and implement efficient algorithms to solve computationally complex problems, and what are some common strategies for optimizing algorithm performance in terms of time and space complexity?In the context of computer science, what is meant by the phrase "price-performance ratio"? What about its application presents difficulties, if any?How does the choice of algorithm complexity influence real-world performance of software applications?
- If my professor asks for Big Oh notation in terms of m, what is that likely to mean? Is it memory/ space complexity?What is Amortised Analysis, and how is it used to analyze the time complexity of algorithms? Can you provide an example of an algorithm where Amortised Analysis is applied to determine the time complexity?"Can you explain the difference between quicksort and mergesort algorithms, including their time complexity analysis and scenarios where one might be preferred over the other?"