Master the Analysis of Algorithms

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Questions and Answers

According to the text, what are the two criteria of analysis for algorithms?

  • Running time and Efficiency
  • Input dimension and Number of instructions
  • Execution time and Memory usage (correct)
  • Dimension of the input and Execution time

What is the classification of algorithms based on their determinism?

  • Deterministic classification
  • Memory classification
  • Non-deterministic classification (correct)
  • Efficiency classification

What is the main factor that determines the execution time of an algorithm?

  • Number of instructions executed
  • Memory to use
  • Dimension of the input (correct)
  • Efficiency of the algorithm

What does T(n) represent in the context of algorithm analysis?

<p>Number of instructions executed (B)</p> Signup and view all the answers

What are the three criteria of analysis mentioned in the text?

<p>Execution time, Memory usage, and Input dimension (D)</p> Signup and view all the answers

Flashcards

Algorithm Analysis Criteria

Execution time and memory usage are key.

Algorithm Determinism

Algorithms are classified as either deterministic or non-deterministic.

Input Dimension

The size or amount of data the algorithm processes.

What is T(n)?

T(n) represents the number of instructions an algorithm executes for an input size of n.

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Criteria of Analysis

Execution time, memory usage, and input dimension are important aspects.

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Study Notes

Algorithm Analysis Criteria

  • Two criteria of analysis for algorithms:
  • Correctness: ensuring the algorithm produces the correct output
  • Efficiency: measuring the algorithm's performance and resource usage

Classification of Algorithms

  • Based on their determinism, algorithms can be classified into two categories:
  • Deterministic algorithms: always produce the same output for a given input
  • Non-deterministic algorithms: may produce different outputs for the same input

Execution Time of an Algorithm

  • The main factor that determines the execution time of an algorithm is the number of operations performed
  • Execution time is directly proportional to the number of operations

Time Complexity (T(n))

  • T(n) represents the time complexity of an algorithm, which is the number of operations performed as a function of the input size 'n'
  • T(n) is used to measure the efficiency of an algorithm

Criteria of Analysis

  • Three criteria of analysis mentioned in the text:
  • Correctness
  • Efficiency
  • Scalability

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