Live Quiz Arena
🎁 1 Free Round Daily
⚡ Enter ArenaQuestion
← Logic & PuzzlesIn a sorting algorithm, which mechanism explains why QuickSort, on average, performs better than Bubble Sort for large datasets?
A)Reduced memory access latency
B)Optimized branch prediction accuracy
C)Logarithmic partitioning reduces comparisons✓
D)Increased instruction-level parallelism
💡 Explanation
QuickSort's superior performance stems from Divide and Conquer with Logarithmic Partitioning, because it reduces the number of comparisons needed as the dataset size increases; therefore, it sorts faster than Bubble Sort, rather than due to memory access, branch prediction, or parallelism.
🏆 Up to £1,000 monthly prize pool
Ready for the live challenge? Join the next global round now.
*Terms apply. Skill-based competition.
Related Questions
Browse Logic & Puzzles →- A factory scheduling system uses the simplex method to optimize production. If a non-basic variable's reduced cost is significantly negative, which outcome follows?
- An iterative algorithm searches a sorted array. Which technique formally verifies that the loop maintains the array's sorted order and the search range narrows?
- A recommendation engine uses a decision tree to predict movie preferences. Which outcome occurs when the splitting criteria solely minimizes Gini impurity at each node?
- If scheduling meetings and some individuals are invited to multiple meetings which overlap, what accounts for accurate count?
- A cryptographic system uses prime numbers to generate keys. If a key generation algorithm mistakenly uses two numbers that share a common prime factor, which security outcome results?
- A database query optimizes relation joins using dynamic programming; what happens to memory use as the number of joined tables increases?
