• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 4444
  • 1850
  • 911
  • 505
  • 505
  • 161
  • 153
  • 127
  • 95
  • 93
  • 93
  • 48
  • 38
  • 33
  • 33
  • Tagged with
  • 10691
  • 1278
  • 1211
  • 1029
  • 1011
  • 936
  • 826
  • 824
  • 792
  • 714
  • 709
  • 612
  • 573
  • 557
  • 528
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
151

Intelligent power module for variable speed AC motor drives

Allaith, Noori A. January 1997 (has links)
No description available.
152

Separated continuous linear programs : theory and algorithms

Pullan, Malcolm Craig January 1992 (has links)
No description available.
153

Combinatorial Bin Packing Problems

Nielsen, Torben Noerup January 1985 (has links)
In the past few years, there has been a strong and growing interest in evaluating the expected behavior of what we call combinatorial bin packing problems. A combinatorial bin packing problem consists of a number of items of various sizes and value ratios (value per unit of size) along with a collection of bins of fixed capacity into which the items are to be packed. The packing must be done in such a way that the sum of the sizes of the items into a given bin does not exceed the capacity of that bin. Moreover, an item must either be packed into a bin in its entirety or not at all: this "all or nothing" requirement is why these problems are characterized as being combinatorial. The objective of the packing is to optimize a given criterion Junction. Here optimize means either maximize or minimize, depending on the problem. We study two problems that fit into this framework: the Knapsack Problem and the Minimum Sum of Squares Problem. Both of these problems are known to be in the class of NP-hard problems and there is ample reason to suspect that these problems do not admit of efficient exact solution. We obtain results concerning the performance of heuristics under the assumption that the inputs are random samples from some distribution. For the Knapsack Problem, we develop four heuristics, two of which are on-line and two off-line. All four heuristics are shown to be asymptotically optimal in expectation when the item sizes and value ratios are assumed to be independent and uniform. One heuristic is shown to be asymptotically optimal in expectation when the item sizes are uniformly distributed and the value ratios are exponentially distributed. The amount of time required by these heuristics is no more than proportional to the amount of time required to sort the items in order of nonincreasing value ratios. For the Minimum Sum of Squares Problem, we develop two heuristics, both of which are off-line. Both of these heuristics are shown to be asymptotically optimal in expectation when the sizes of the items input are assumed uniformly distributed.
154

Superscalar architectures and statically scheduled programs

Tate, Daniel January 2000 (has links)
No description available.
155

Fluid loading and hydro-elastic response of towed pipelines

Chang, Yŏng-sik January 1996 (has links)
No description available.
156

Interaction patterns, learning processes and equilibria in population games

Ianni, Antonella January 1996 (has links)
No description available.
157

Statistical energy analysis of marine structures with periodic and near-periodic components

Smith, Jeremy Richard Denham January 1999 (has links)
No description available.
158

Variation of Fenchel Nielsen coordinates

Skelton, George January 2001 (has links)
No description available.
159

Nonlinear response analysis of guyed masts

Karbassi, A. A. January 1987 (has links)
No description available.
160

The performance of corrugated carbon fibre pressure vessels under external pressure

Little, Andrew P. F. January 2000 (has links)
No description available.

Page generated in 0.0467 seconds