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True Random?page=2

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Preview of RJAGS: Bayesian Graphical Models
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RJAGS: Bayesian Graphical Models (rjags.pdf)

129 KBMartyn PlummerEN 19 pages
Interface to the JAGS MCMC library for Bayesian Graphical Models. Depends on R 2.14.0 or later and coda 0.13 or later. Requires JAGS 4.x.y.
Preview of Algorithmic Methods: Optimal Group Assignment, MAX-SAT Approximation, and Task Scheduling
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Algorithmic Methods: Optimal Group Assignment, MAX-SAT Approximation, and Task Scheduling (methods-exam19.pdf)

140 KBEN 1 page
**Question 1 (a):** Prove that an optimal solution exists where at most *n* groups have positive weights, ensuring each agent's demand is met. **Question 1 (b):** Describe a polynomial-time algorithm to find the optimal solution value without constructing the...

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