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Explore the intersection of statistical mechanics and engineering at the Avogadro scale. Learn about internal configurations and degrees of freedom in macroscopic and microscopic systems. Delve into programming distributed systems and graphical message-passing networks, including the Sum-Product and Belief Propagation methods. Discover insights on loops, approximations, noise-locked loops, CDMA, local search, and global convex optimization. Find solutions through interior point algorithms for semidefinite programs. This comprehensive program covers a range of topics from computer programming to fault-tolerant and developmental programming.
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Avogadro-Scale Engineering: Form and Function http://cba.mit.edu NSF CCR-0122419
Statistical Mechanics macroscopic state internal configuration microscopic degrees of freedom
Statistical-Mechanical Engineering? macroscopic goal internal configuration microscopic degrees of freedom
Programming Distributed Systems problem algorithm program executable protocol messages
Graphical Message-Passing problem algorithm program executable protocol messages
Sum Product Belief propagation, …, (Loeliger, …) xj fm xi fn trees: exact loops: approximations
Bethe Approximation (Jonathan Yedidia) fn xi
Noise-LockedLoops (Ben Vigoda) CDMA LFSR code acquisition
Global Convex Optimization (Pablo Parrilo et al.) Interior point solution to a semidefinite program on a relaxed problem
computer programming linear programming semidefinite programming integer programming dynamic progamming toolpath programming fault-tolerant programming developmental programming programming