Implementing stochastic control software on supercomputing machines

DOI10.1016/0165-1889(90)90021-8zbMath0716.93076OpenAlexW1980673791MaRDI QIDQ753783

Hans M. Amman

Publication date: 1990

Published in: Journal of Economic Dynamics \& Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0165-1889(90)90021-8

zbMATH Keywords

computer simulationsKendrick's DUAL programstochastic control experiments with active learningsupercomputing machines

Mathematics Subject Classification ID

Stochastic systems and control (93E99) Stochastic learning and adaptive control (93E35) Software, source code, etc. for problems pertaining to systems and control theory (93-04)

Related Items (1)

Active learning. Monte Carlo results

Cites Work

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• Solving linear systems on a vector computer
• State-of-the-art in parallel nonlinear optimization
• Parallel Gaussian elimination on an MIMD computer
• Nonlinear control simulation on a vector machine
• Parallel Gauss-Jordan elimination for the solution of dense linear systems
• Dynamic programming and parallel computers
• Implementing Linear Algebra Algorithms for Dense Matrices on a Vector Pipeline Machine
• Implementing Dense Linear Algebra Algorithms Using Multitasking on the CRAY X-MP-4 (or Approaching the Gigaflop)
• A Survey of Parallel Algorithms in Numerical Linear Algebra
• A Shared Memory Computer Display System
• Wide-sense adaptive dual control for nonlinear stochastic systems
• An actively adaptive control for linear systems with random parameters via the dual control approach

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