A Subject Experiment of an Approximate DGS Algorithm: Price Increment, Allocative Efficiency, and Seller's Revenue.
Yoichi IzunagaSatoshi TakahashiNaoki WatanabePublished in: Big Data (2022)
Keyphrases
- dynamic programming
- expectation maximization
- high efficiency
- preprocessing
- objective function
- experimental evaluation
- computational complexity
- classification algorithm
- k means
- cost function
- detection algorithm
- high accuracy
- learning algorithm
- computational efficiency
- theoretical analysis
- simulated annealing
- probabilistic model
- worst case
- computationally efficient
- np hard
- electronic commerce
- tree structure
- lower bound
- matching algorithm
- optimal solution
- path planning
- improved algorithm
- neural network
- estimation algorithm