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Said, W.A. Pearlman, A new, fast, and efficient image codec based on set partitioning in hierarchical trees, IEEE Trans.
JCSE-SPIHT, an algorithm of joint compression and selective encryption based on set partitioning in hierarchical trees (SPIHT), is proposed to achieve image encryption and compression simultaneously.
Its overall performance surpasses the video codec based on set partitioning in hierarchical trees and is comparable to that of H263.
A format-compliant degradative encryption algorithm based on set partitioning in hierarchical trees (SPIHT) is then proposed, and the scheme is designed to work in progressive mode for gaining a tradeoff between efficiency and security.
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This problem is formulated as a bi-objective mathematical program, based on a set partitioning problem formulation.
A mathematical formulation is presented, but as the linear programming relaxation of the mathematical formulation is weak, a formulation based on the set partitioning model and column generation approach is also developed.
Based on this set partitioning formulation, a so-called branch-and-price exact solution algorithm, combining Branch-and-Bound procedure with column generation (CG) method, is designed for the proposed problem where each node is the linear relaxation problem of a set partitioning problem.
Again in another attempt, Baldacci et al. ([2011b]) describe an effective exact method for solving CVRP based on the set partitioning formulation.
The proposed subset partitioning procedure developed based on a theoretical study on set partitioning in the multidimensional space guarantees optimal or near-optimal HP protection, enables simple and systematic designs for LP protection, and increases the LP capacity.
In the first phase, the average distances and costs of transport from distribution centers to customers are evaluated using an exact clustering procedure based on a set-partitioning formulation.
This optimization is based on partitioning the set of available biological replicates into two groups, one for each of the microarray (Stage 1) and qRT-PCR (Stage 2) experiments.
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