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Simple Seeding of Evolutionary Algorithms for Hard Multiobjective
Simple Seeding of Evolutionary Algorithms for Hard Multiobjective

... In attempts to eliminate the above mentioned disadvantage of EAs for MOP, hybrid algorithms have been proposed; see, for example, [11, 24], where serialhybrid and concurrent-hybrid versions of the EA NSGA-II [6] are described. Here, the solution vectors of the EA are improved by local search either ...
Complexity of Inference in Graphical Models
Complexity of Inference in Graphical Models

... 1983; 1986) has led to several results in graph theory (Robertson et al., 1994) and to practical algorithms for a large class of NP-hard problems (Freuder, 1990). Among these problems is inference in graphical models, which, as mentioned earlier, can be solved in polynomial-time if the treewidth of ...
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Job Management Requirements for NAS Parallel Systems and Clusters

MA30 Geometry Sequenced Units for Arizona’s College and Career Ready Standards
MA30 Geometry Sequenced Units for Arizona’s College and Career Ready Standards

... These tools are used throughout the course as students formalize geometric concepts studied in earlier courses and extend those ideas to new concepts presented in the high school standards. There is a focus on modeling, problem solving, and proof throughout the course. This document reflects our cur ...
A High-Level Categorization of Explanations: A Case Study with a Tutoring System
A High-Level Categorization of Explanations: A Case Study with a Tutoring System

... attempt that superficially looks promising ultimately turned out to be inferior. Such an examination is likely to strengthen the belief in the solution proposed, by getting acquainted with arguments in favor of it, but also with some information about critical aspects, where competitive alternatives ...
International Electrical Engineering Journal (IEEJ)
International Electrical Engineering Journal (IEEJ)

... electric power system is an essential task, since it is required to determine the optimal output of electricity generating facilities, supplying the power to meet load demand at minimum cost while satisfying transmission and operational constraints. Several techniques were applied to solve the econo ...
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Swarm Intelligence based Soft Computing Techniques for the

Research Article Classification of Textual E-Mail Spam
Research Article Classification of Textual E-Mail Spam

... Applied Computational Intelligence and Soft Computing Clustering is one of the most useful approaches in data mining for detection of natural groups in a data set. For the solution of clustering problem the traditional algorithms, such as k-means algorithm [19, 20], hierarchical clustering, different ...
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Drawing Clustered Graphs - School of Information Technologies

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A brief history - School of Information Technologies

... $100Kpa, 2.5 oncost multiplier) = $250K. There are probably about 100 FTE GD researchers in the world.  The cost of the past ten years of Graph Drawing Research is about $25M $250M ...
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PDF

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Document

... pitch. The waves can either be done by hand, or sampled from complex sound-sources. Dozens of pitch curves are defined by means of a battery of oscillators in order to turn these waves into simultaneous sounds. This algorithm covers and entire range of musical notes, from simple to complex. This mac ...
Mathematics - University of Texas Rio Grande Valley
Mathematics - University of Texas Rio Grande Valley

pisa 2012 mathematics framework
pisa 2012 mathematics framework

... solvers will engage. Formulating mathematics involves identifying opportunities to apply and use mathematics – seeing that mathematics can be applied to understand or resolve some problem, or ...
Learning From Massive Noisy Labeled Data for Image
Learning From Massive Noisy Labeled Data for Image

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cdc epilepsy quality of care study

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Mathematics Essential Curriculum - Eighth Grade Geometry

Introduction - ODU Computer Science
Introduction - ODU Computer Science

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Markov Decision Processes

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Efficient Partitioning of Large Databases without Query Statistics
Efficient Partitioning of Large Databases without Query Statistics

A New Torus Bounding for Line-Torus Intersection
A New Torus Bounding for Line-Torus Intersection

mass problems associated with effectively closed sets
mass problems associated with effectively closed sets

... simplicial complexes, the diffeomorphism problem for compact manifolds, and the problem of integrability in elementary terms. In an influential 1954 paper [56], Kleene and Post introduced a scheme for classifying unsolvable mathematical problems. Informally, by a real we mean a point in an effective ...
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The Benefits of Clustering in Shared Address Space Multiprocessors
The Benefits of Clustering in Shared Address Space Multiprocessors

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Theoretical computer science



Theoretical computer science is a division or subset of general computer science and mathematics that focuses on more abstract or mathematical aspects of computing and includes the theory of computation.It is not easy to circumscribe the theory areas precisely and the ACM's Special Interest Group on Algorithms and Computation Theory (SIGACT) describes its mission as the promotion of theoretical computer science and notes:Template:""To this list, the ACM's journal Transactions on Computation Theory adds coding theory, computational learning theory and theoretical computer science aspects of areas such as databases, information retrieval, economic models and networks. Despite this broad scope, the ""theory people"" in computer science self-identify as different from the ""applied people."" Some characterize themselves as doing the ""(more fundamental) 'science(s)' underlying the field of computing."" Other ""theory-applied people"" suggest that it is impossible to separate theory and application. This means that the so-called ""theory people"" regularly use experimental science(s) done in less-theoretical areas such as software system research. It also means that there is more cooperation than mutually exclusive competition between theory and application.
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