Final answer:
Algorithms should not be overly difficult to implement to facilitate ease of understanding, analysis, and communication, which are essential for learning and practical application. Complexity in algorithms can also lead to practical challenges in terms of maintenance and resource requirements, hampering their usability in real-world scenarios.
Step-by-step explanation:
An algorithm should not be overly difficult to implement because complexity can limit its accessibility and practicality. Simple algorithms are often more desirable because they are easier to understand, analyze, and communicate. Furthermore, complicated algorithms may be harder to maintain and could require more computational resources, adding to the challenge of implementation.
From the perspective of educational philosophy, overly complex algorithms may hinder the learning process. The substance of learning lies not in the mere execution of algorithms, but in the understanding and application of the underlying principles they represent. Hence, students benefit more from comprehensible algorithms that they can readily internalize and apply to various problems, rather than memorizing complex, arcane procedures that may not contribute to their deeper understanding of the subject matter.
In addition, algorithms that are difficult to parameterize or that have stringent software and hardware requirements can become impractical to use, especially in real-world applications where versatility and adaptability are crucial. The essence of using algorithms is to simplify the process of problem-solving, not to add another layer of difficulty due to implementation hurdles.