Probably the clearest indication of the evolutionary change at play is that the NRC estimates the changing rules will save ...
Abstract: Current sampling techniques and predictive algorithms used in the digital control of electric drives rely on a simple mathematical model that assumes linear current changes upon constant ...
ABSTRACT: Techniques of robust sensitivity design optimization involving nonlinear interior point algorithms and/or second derivatives are utilized in concert with recently developed generalized ...
ABSTRACT: Generalized robust systems-based theoretical kinematic inverse/regular wedge cam procedures which produce self-centering motion applicable to three-point clamping device design about ...
This paper aims to investigate a chattering-free adaptive iterative learning strategy for trajectory tracking tasks on linear-motor-driven-gantry-stages with initial state errors. The reduction ...
Transportation Science, Vol. 38, No. 3 (August 2004), pp. 343-356 (14 pages) Bounds and approximate formulae are developed for the average optimum distance of the transportation linear programming ...
Despite the widespread and nonsensical claim, that "logistic regression is not a regression", it constitutes one of the key regression and hypothesis testing tools used in the experimental research ...
Executing the below code throws a different error message to what is actually expected. The expected error message should be "RuntimeError: expected scalar type Long ...
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