1: What is the class BPL (Bounded-error probabilistic log-space), and how does it relate to L?
2: How does the class NL-complete differ from NL-hard in complexity theory?
3: What is the relationship between randomized algorithms and approximation algorithms?
4: What is the role of derandomization in complexity classes like RP and BPP?
5: How does the class co-RP differ from RP in probabilistic complexity?
6: What is the significance of logarithmic space in Turing machine computation?
7: How does NL relate to PSPACE in space-bounded computation?
8: What are the implications of unbounded-error probabilistic classes like PP?
9: How do you reduce problems in NP-complete classes to other complexity classes?
10: What is the importance of log-space complexity in real-world computation?
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