Shortest DNA cyclic cover in compressed space Bastien Cazaux, Rodrigo C´
... overlaps between the words allow to save characters. The Shortest Superstring problem is crucial in text compression. Unfortunately, its hardness prevents us from finding, not only an optimal, but even an approximate solution that is arbitrarily near to optimal [5, 1]. Rather than for a single linea ...
... overlaps between the words allow to save characters. The Shortest Superstring problem is crucial in text compression. Unfortunately, its hardness prevents us from finding, not only an optimal, but even an approximate solution that is arbitrarily near to optimal [5, 1]. Rather than for a single linea ...
Seven Challenges in Parallel SAT Solving
... may be considered inferior to a solver that performs efficiently, even if its speedup figure is smaller. We expect this will be the case for many software and hardware verification applications in the near future, where limited size clusters are used to verify designs overnight. In the second catego ...
... may be considered inferior to a solver that performs efficiently, even if its speedup figure is smaller. We expect this will be the case for many software and hardware verification applications in the near future, where limited size clusters are used to verify designs overnight. In the second catego ...
Fast Molecular Shape Matching Using Contact Maps
... The overall algorithm is similar to the one described in Goldman et al. (1999). Given two two-dimensional contact maps G1 and G2, we first decompose G1 into two 2-stacks and two 2-staircases. Each 2-staircase is then decomposed into two 1-staircases in linear time. We then compute the maximum overla ...
... The overall algorithm is similar to the one described in Goldman et al. (1999). Given two two-dimensional contact maps G1 and G2, we first decompose G1 into two 2-stacks and two 2-staircases. Each 2-staircase is then decomposed into two 1-staircases in linear time. We then compute the maximum overla ...
Author`s Version
... overlaps between the words allow to save characters. The Shortest Superstring problem is crucial in text compression. Unfortunately, its hardness prevents us from finding, not only an optimal, but even an approximate solution that is arbitrarily near to optimal [5, 1]. Rather than for a single linea ...
... overlaps between the words allow to save characters. The Shortest Superstring problem is crucial in text compression. Unfortunately, its hardness prevents us from finding, not only an optimal, but even an approximate solution that is arbitrarily near to optimal [5, 1]. Rather than for a single linea ...
Efficient K-Nearest Neighbor Search in Time
... develop a primitive solution for the time-dependent kNN problem based on the incremental network expansion (INE [19]) approach where Dreyfus’s modified Dijkstra algorithm is used for time-dependent distance calculation. With this approach, starting from a query object q all network nodes reachable f ...
... develop a primitive solution for the time-dependent kNN problem based on the incremental network expansion (INE [19]) approach where Dreyfus’s modified Dijkstra algorithm is used for time-dependent distance calculation. With this approach, starting from a query object q all network nodes reachable f ...
Enhanced form of solving real coded numerical optimization
... Several optimization algorithms have been proposed to choose the best element from some set of available alternatives. Based on intelligent behaviour of honey bee swarm there is only one numerical optimization algorithm in the literature [1]. Swarm develops collective intelligence. In 2005 D.Karabog ...
... Several optimization algorithms have been proposed to choose the best element from some set of available alternatives. Based on intelligent behaviour of honey bee swarm there is only one numerical optimization algorithm in the literature [1]. Swarm develops collective intelligence. In 2005 D.Karabog ...
Optimization of (s, S) Inventory Systems with Random Lead Times
... that S ? s 1:50D . While Schneider and Ringuest suggest alternative schemes when this condition is violated, Tijms and Groenevelt speci cally mention that their approximations are not warranted when this condition is violated. For example, if we arbitrarily x the setup cost K = 36, and the per p ...
... that S ? s 1:50D . While Schneider and Ringuest suggest alternative schemes when this condition is violated, Tijms and Groenevelt speci cally mention that their approximations are not warranted when this condition is violated. For example, if we arbitrarily x the setup cost K = 36, and the per p ...
PDF
... Data regression is commonly used in bioinformatics. Often, the problem is to predict the output value of a biological process for a particular biological system under certain condition. By assuming that the outputs of a biological process for a given biological system can be determined by the linear ...
... Data regression is commonly used in bioinformatics. Often, the problem is to predict the output value of a biological process for a particular biological system under certain condition. By assuming that the outputs of a biological process for a given biological system can be determined by the linear ...
A Survey of Partially Observable Markov Decision Processes
... state uncertainty is a central issue that can not be assumed away. Examples in such diverse areas as machine maintenance, quality control, learning theory, internal auditing, optimal stopping, and others given in Section 4 illustrate the wide range of problems that can be modeled as POMDP's. The key ...
... state uncertainty is a central issue that can not be assumed away. Examples in such diverse areas as machine maintenance, quality control, learning theory, internal auditing, optimal stopping, and others given in Section 4 illustrate the wide range of problems that can be modeled as POMDP's. The key ...
Design Tools for Emerging Technologies,
... available at the nanoscale is disrupting the existing transistorcentric microelectronics design paradigm, resulting in nearly decade-long delays between prototype demonstration and technology deployment. The key to reducing these innovationinhibiting delays is to develop algorithmic approaches that ...
... available at the nanoscale is disrupting the existing transistorcentric microelectronics design paradigm, resulting in nearly decade-long delays between prototype demonstration and technology deployment. The key to reducing these innovationinhibiting delays is to develop algorithmic approaches that ...
A High-Level Categorization of Explanations: A Case Study with a Tutoring System
... be informed about details of the solution per se. Depending on the nature of the problem, it might be useful to explore alternatives that come close to the solution proposed in terms of some underlying metric. In design tasks, for example, it might be insightful to learn why some solution attempt th ...
... be informed about details of the solution per se. Depending on the nature of the problem, it might be useful to explore alternatives that come close to the solution proposed in terms of some underlying metric. In design tasks, for example, it might be insightful to learn why some solution attempt th ...
Efficient Computation of Range Aggregates against Uncertain
... In many applications, including location based services, queries may not be precise. In this paper, we study the problem of efficiently computing range aggregates in a multidimensional space when the query location is uncertain. Specifically, for a query point Q whose location is uncertain and a set ...
... In many applications, including location based services, queries may not be precise. In this paper, we study the problem of efficiently computing range aggregates in a multidimensional space when the query location is uncertain. Specifically, for a query point Q whose location is uncertain and a set ...
Artificial Intelligence Problem Solving and Search Example
... initial state e.g., “at Arad” successor function S(x) = set of action–state pairs e.g., S(Arad) = {hArad → Zerind, Zerindi, . . .} goal test, can be explicit, e.g., x = “at Bucharest” implicit, e.g., N oDirt(x) path cost (additive) e.g., sum of distances, number of actions executed, etc. Usually giv ...
... initial state e.g., “at Arad” successor function S(x) = set of action–state pairs e.g., S(Arad) = {hArad → Zerind, Zerindi, . . .} goal test, can be explicit, e.g., x = “at Bucharest” implicit, e.g., N oDirt(x) path cost (additive) e.g., sum of distances, number of actions executed, etc. Usually giv ...
File - Science for all Students
... The process of photosynthesis converts light energy to stored chemical energy by converting carbon dioxide plus water into sugars plus released oxygen. (HS-LS1-5) The sugar molecules thus formed contain carbon, hydrogen, and oxygen: their hydrocarbon backbones are used to make amino acids and ot ...
... The process of photosynthesis converts light energy to stored chemical energy by converting carbon dioxide plus water into sugars plus released oxygen. (HS-LS1-5) The sugar molecules thus formed contain carbon, hydrogen, and oxygen: their hydrocarbon backbones are used to make amino acids and ot ...
AG26204209
... lower bound is that it supports analysis of large class of arrival processes as described in [3]. In addition to this our approach also depends on the ability to compute the bottlenecks in the system. The characterization of bottlenecks in wireless networks is very difficult to achieve. Instead of t ...
... lower bound is that it supports analysis of large class of arrival processes as described in [3]. In addition to this our approach also depends on the ability to compute the bottlenecks in the system. The characterization of bottlenecks in wireless networks is very difficult to achieve. Instead of t ...
Probes for fault localization in computer networks
... was previously solved, and on-line learning that allows storing newly solved cases. All three described systems are the special cases of expert systems or knowledge-based systems but since the most popular expert systems are rule-based, sometimes only these systems are known as expert systems. Some ...
... was previously solved, and on-line learning that allows storing newly solved cases. All three described systems are the special cases of expert systems or knowledge-based systems but since the most popular expert systems are rule-based, sometimes only these systems are known as expert systems. Some ...
Genetic algorithm, particle swarm optimization and hybrid scheme
... potential solutions (called individuals). This algorithm is an iterative process where new populations are generated based on individual adaption and some heuristic operators (crossover and mutation). In each generation, the fitness function2 of each individual in the population is calculated. The i ...
... potential solutions (called individuals). This algorithm is an iterative process where new populations are generated based on individual adaption and some heuristic operators (crossover and mutation). In each generation, the fitness function2 of each individual in the population is calculated. The i ...
... problem to the optimal control of a linear time-invariant lumped-parameter system. In contrast to standard optimal control or variational methods for lumped parameter systems, a direct state-control parameterization by orthogonal polynomial expansion is employed to solve the modal space optimization ...