In this paper, we give an applications-oriented survey of geometric programming. This important class of nonlinear programming problems has been intensively studied over the past decade and has played ...

Geometric optimisation and approximation algorithms form a vibrant research area that intersects computational geometry, combinatorial optimisation and algorithm design. Researchers are dedicated to ...

Geometric programming (GP) is a new technique that appears to have significant potential in marketing. Researchers have avoided optimization models in marketing, partially because empirical estimates ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...

The center will unite mathematicians, engineers and computer scientists at Brown, NYU and Georgia Tech to tackle longstanding ...

Researchers have successfully extended the quantum phase difference estimation algorithm, a general quantum algorithm for the direct calculations of energy gaps, to enable the direct calculation of ...