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Linear programming / Duality / Relaxation / Optimal control / Lagrangian relaxation / Lagrange multiplier / Dynamic programming / Optimization problem / Quadratic programming / Mathematical optimization / Mathematical analysis / Mathematics


Document Date: 2009-10-19 15:59:20

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City

Dover / Cambridge / Muckstadt / Burlington / /

Company

LARGE-SCALE POWER SYSTEMS / SCHEDULING OF 3 LARGE-SCALE POWER SYSTEMS / ElectricEnergy Systems / I Authorized / IEEE Authorized / Authorized / /

Event

Force Majeure / /

Facility

Massachusetts Institute of Technology / /

IndustryTerm

branch-and-bound tree search / good suboptimal feasible solution / satisfactory solution / e-d / basic feasible solution / feasible solution / final solution / dynamic programming algorithm / good feasible solution / last step algorithm / feasible andoptimal relaxed solutions / oil / basic solution / /

Organization

U.S. Department of Energy / Energy Systems Committee / U.S. Army Armament and Development Command / A- 1 / Massachusetts Institute of Technology / U.S. Securities and Exchange Commission / Department of Electrical Engineering and Computer Science / /

Person

N. R. Sandell / Jr. / G. S. Lauer / /

Position

Chairman / /

ProgrammingLanguage

C* / /

ProvinceOrState

New Jersey / Massachusetts / /

Technology

implemented algorithm / preceding algorithm / dynamic programming algorithm / last step algorithm / /

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