NVIDIA introduces a multi-GPU solver for decision optimization, scaling to 100 million variables and beyond, promising faster ...
A laboratory study using machine learning to optimize hydrothermal production of carbon quantum dots from tea processing ...
In this article, as in industry, advanced process control (APC) refers primarily to multi-variable control. Multivariable control means adjusting multiple single-loop controllers in unison, to meet ...
Speed: Dirac-3S is engineered to efficiently solve increasingly complex optimization problems, with practical computation times demonstrated on problems involving up to 9,980 variables while ...
For executives and planners at the forefront of business, existing successful experiences can sometimes transform into ...
Before Lourie, Bryson, and Stark. Appeal from the Patent Trial and Appeal Board. Summary: Evidence that a claimed parameter is recognized as a result-effective variable can overcome the lack of ...
Optimizing any cooling plant for minimal energy consumption is a demanding science. In many cases, minimizing chiller plant energy consumption requires modifications to the plant design, including ...
Discussed here is "routine optimization," an approach to obviousness in cases where the gap between the prior art and patent claims appears to be one that the hypothetical person of ordinary skill in ...
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