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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 .
As early as the end of 1982, the IBM PC DOS operating system that shipped with early IBM Personal Computers included a Disk Volume Organization Optimizer to defragment the 5¼-inch floppy disks that those machines used. At this time, Microsoft's MS-DOS did not defragment hard disks. Several third party software developers marketed defragmenters ...
This allows it to generate data that measures efficiency and suggest ways to improve it. Outside of East Asia, Most WMS's in use today fall into this category. At this level, the duties of the WMS may begin to overlap with or supersede those of a Warehouse Control System or Warehouse Execution System .
Loop fission attempts to break a loop into multiple loops over the same index range with each new loop taking only a part of the original loop's body. This can improve locality of reference to both the data being accessed within the loop and the code in the loop's body. Loop fusion or loop combining or loop ramming or loop jamming
The hexagonal packing of circles on a 2-dimensional Euclidean plane. These problems are mathematically distinct from the ideas in the circle packing theorem.The related circle packing problem deals with packing circles, possibly of different sizes, on a surface, for instance the plane or a sphere.
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.
Mathematically, shape optimization can be posed as the problem of finding a bounded set, minimizing a functional (),possibly subject to a constraint of the form =Usually we are interested in sets which are Lipschitz or C 1 boundary and consist of finitely many components, which is a way of saying that we would like to find a rather pleasing shape as a solution, not some jumble of rough bits ...
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.