Enhanced conference experience calculation algorithm

• Day: 2023-09-06
• Time: 18:10 to 19:35
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Algorithm, Optimization, Conferences, Rest Days

Description

Session Goal

The session focused on enhancing the algorithm to calculate maximum experience from attending conferences and attractions, incorporating constraints such as mandatory rest days after a certain number of consecutive conferences.

Key Activities

• Defined the recursive function g(n, r) in LaTeX to model the experience calculation.
• Discussed the application of dynamic programming and greedy algorithms for optimizing experience in AlgorithmLand.
• Explained the maxExperienceFromConferences function, detailing its structure and purpose.
• Adapted pseudocode to handle rest days after consecutive conferences.
• Modified the Python function g to include logic for rest days, ensuring no activities are scheduled on rest days.
• Implemented the maxExperienceFromConferences function in Python, considering constraints on consecutive attendance.

Achievements

• Successfully integrated rest day logic into the experience calculation algorithm.
• Enhanced the function to maximize experience while adhering to constraints.

Pending Tasks

• Further testing and validation of the modified algorithm to ensure it meets all constraints and performs efficiently under various scenarios.

Evidence

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• event_ids: []