This document contains comprehensive notes from Lecture 4 of the CO2412 course on Computational Thinking. The lecture focuses on the crucial topic of performance evaluation, highlighting the importance of understanding algorithm efficiency to make informed decisions during algorithm design and opti...
Performance Evaluation
1. Why Performance Evaluation is Necessary
o Understanding the performance of algorithms is crucial for selecting
the most appropriate one for a given problem. It helps in making
informed decisions about algorithm design and optimization.
2. Steps in Performance Evaluation
o Specify: Define what the program should do.
o Design: Select appropriate algorithms and data structures with
consideration for effectiveness and efficiency.
o Code: Implement the solution.
o Evaluate: Assess the program's performance against
specifications.
Creating Efficient Programs
1. Steps to Create Efficient Programs
o Pick the Best Algorithm & Data Structure: Choose the most
suitable algorithm and data structure for the problem.
o Implement the Algorithm Simply: Focus on a straightforward
implementation.
o Identify Bottlenecks: Find parts of the code that hinder
performance.
o Optimize Relevant Parts: Focus on optimizing the critical sections
rather than premature optimization.
o Avoid Unnecessary Complexity: Use complex algorithms only
when necessary.
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