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For example, to optimize a structural design, one would desire a design that is both light and rigid. When two objectives conflict, a trade-off must be created. There may be one lightest design, one stiffest design, and an infinite number of designs that are some compromise of weight and rigidity.
Please help improve this article by introducing more precise citations. ( December 2011 ) ( Learn how and when to remove this message ) Process optimization is the discipline of adjusting a process so as to make the best or most effective use of some specified set of parameters without violating some constraint.
Power/Voltage-curve of a partially shaded PV system, with marked local and global MPP. Maximum power point tracking (MPPT), [1] [2] or sometimes just power point tracking (PPT), [3] [4] is a technique used with variable power sources to maximize energy extraction as conditions vary. [5]
A general technique to improve performance is to avoid work. A good example is the use of a fast path for common cases, improving performance by avoiding unnecessary work. For example, using a simple text layout algorithm for Latin text, only switching to a complex layout algorithm for complex scripts, such as Devanagari.
In machine learning, hyperparameter optimization [1] or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process, which must be configured before the process starts.
The ".pps" and ".ppsx" file extensions are technically the same as ".ppt" and ".pptx", except they are launched as presentation instead of for editing by default. [269] Binary filename extensions [261].ppt, PowerPoint 97–2003 binary presentation.pps, PowerPoint 97–2003 binary slide show.pot, PowerPoint 97–2003 binary template
Heaps of ketamine, MDMA and illegal weed were seized by authorities as they busted a drug lab in Queens and arrested the ringleader of the dangerous narcotics operation, prosecutors said Friday.
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.