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Globally optimal triangulations of minimum weight using Ant Colony Optimization metaheuristic
Article
Article
Dorzán, María Gisela et al · SEDICI UNLP · 2010
Globally optimal triangulations are difficult to be found by deterministic methods as, for most type of criteria, no polynomial algorithm is known. In this work, we consider the Minimum Weight Triangulation (MWT) problem...
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Open Access
<i>SIR</i>97: a new tool for crystal structure determination and refinement
Article
Article
Angela Altomare; M. C. Burla; Mercedes Camalli; G. Cascarano; Carmelo Giacovazzo; Antonietta Guagliardi; Anna Moliterni; G. Polidori · Journal of Applied Crystallography · 1999
SIR 97 is the integration of two programs, SIR 92 and CAOS , the first devoted to the solution of crystal structures by direct methods, the second to refinement via least-squares–Fourier procedures. Several new feature...
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Metaheuristic approaches for MWT and MWPT problems
Text / resource
Text / resource
Dorzán, María Gisela et al · SEDICI UNLP · 2011
It is known that the Minimum Weight Triangulation problem is NP-hard. Also the complexity of Minimum Weight Pseudo-Triangulation problem is unknown, suspecting that it is also a NP-hard problem. Therefore we focused on ...
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Open Access
Soluciones aproximadas para el problema de Triangulación de Peso Mínimo utilizando ACO
Text / resource
Text / resource
Dorzán, María Gisela et al · SEDICI UNLP · 2009
Muchos problemas de optimización en configuraciones geométricas son NP-duros por lo que interesa obtener soluciones aproximadas. En este trabajo proponemos la utilización de una técnica metaheurística, Optimizació...
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Utilizando contratos de reuso con alloy
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Text / resource
Castro, Pablo Francisco et al · SEDICI UNLP · 2001
El desarrollo de sistemas de software confiables exige la utilización de herramientas que posibiliten razonar rigurosamente acerca de su corrección y consistencia. Este tipo de análisis revela su importancia crítica ...
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Computational Algorithms and Numerical Dimensions
Article
Article
REA Press; Iran, Islamic Republic of · ISSN 2980-7646
Subjects / keywords: numerical methods, computational mathematics, computer networks, computational modeling, computational methodology, computational simulation; Science: Mathematics
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Cell Reports: Methods
Article
Article
Elsevier; United States · ISSN 2667-2375
Subjects / keywords: sequencing technologies, genome editing and genome engineering, imaging technologies, single-molecule methods, computational methods, machine learning; Technology: Chemical technology: Biotechnology; Science: Chemistry: ...
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Journal of Algorithms & Computational Technology
Article
Article
SAGE Publishing; United Kingdom · ISSN 1748-3018
Subjects / keywords: mathematical methods, numerical methods, engineering, mathematics, computational analysis; Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods; Scie...
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Bayesian Analysis
Article
Article
International Society for Bayesian Analysis; United States · ISSN 1931-6690
Subjects / keywords: statistics, bayesian methods, computational statistics, computational methods, data mining; Technology: Technology (General): Industrial engineering. Management engineering: Information technology; Science: Mathematics: ...
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Open Access
Componentwise ultimate bound and invariant set computation for switched linear systems
Article
Article
Haimovich, Hernan et al · Pergamon-Elsevier Science Ltd · 2010 · ISSN 1897-1901
We present a novel ultimate bound and invariant set computation method for continuous-time switched linear systems with disturbances and arbitrary switching. The proposed method relies on the existence of a transformatio...
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Parallel computations for fractional variable-order monkeypox disease mathematical model using a hybrid GPU‒CPU framework
Article
Article
Nasser Sweilam et al · Taylor & Francis Group · 2026 · ISSN 1387-3954
This paper presents an innovative parallel computational methodology employing adaptive fractional differential operators to address Monkeypox epidemiological modeling challenges. The complex dynamics of such models ofte...
LCC LCC:Mathematics; LCC:Applied mathematics. Quantitative methodsIdioma English
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Secant Unit Gompertz Quantile Regression for Modeling Bounded Endogenous Variables
Article
Article
Robert Adombire Akumbobe et al · Wiley · 2026 · ISSN 2577-7408
Modeling data that falls within the [0,1] domain is a huge task in most scientific disciplines. This is because most classical distributions do not address the issues of complex data shapes as well as managing the dynami...
LCC LCC:Mathematics; LCC:Applied mathematics. Quantitative methodsIdioma English
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Optimization of parameters for semiempirical methods I. Method
Article
Article
James J. P. Stewart · Journal of Computational Chemistry · 1989
Abstract A new method for obtaining optimized parameters for semiempirical methods has been developed and applied to the modified neglect of diatomic overlap (MNDO) method. The method uses derivatives of calculated value...
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Global convexity in the bi-criteria Traveling Salesman problem
Text / resource
Text / resource
Barán, Benjamín et al · SEDICI UNLP · 2006
This work studies the solution space topology of the Traveling Salesman Problem or TSP, as a bi-objective optimization problem. The concepts of category and range of a solution are introduced for the first time in this ...
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Open Access
A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data
Article
Article
Heng Li · Bioinformatics · 2011
MOTIVATION: Most existing methods for DNA sequence analysis rely on accurate sequences or genotypes. However, in applications of the next-generation sequencing (NGS), accurate genotypes may not be easily obtained (e.g. m...
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An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
Article
Article
Kalyanmoy Deb; Himanshu Jain · IEEE Transactions on Evolutionary Computation · 2013
Having developed multiobjective optimization algorithms using evolutionary optimization methods and demonstrated their niche on various practical problems involving mostly two and three objectives, there is now a growing...
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GSVA: gene set variation analysis for microarray and RNA-Seq data
Article
Article
Sonja Hänzelmann; Robert Castelo; Justin Guinney · BMC Bioinformatics · 2013
BACKGROUND: Gene set enrichment (GSE) analysis is a popular framework for condensing information from gene expression profiles into a pathway or signature summary. The strengths of this approach over single gene analysis...
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Inference of Population Structure Using Multilocus Genotype Data: Linked Loci and Correlated Allele Frequencies
Article
Article
Daniel Falush; Matthew Stephens; Jonathan K. Pritchard · Genetics · 2003
We describe extensions to the method of Pritchard et al. for inferring population structure from multilocus genotype data. Most importantly, we develop methods that allow for linkage between loci. The new model accounts ...
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Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin
Article
Article
Nicholas A. Bokulich; Benjamin D. Kaehler; Jai Ram Rideout; Matthew R. Dillon; Evan Bolyen; Rob Knight; Gavin Huttley; J. Gregory Caporaso · Microbiome · 2018
BACKGROUND: Taxonomic classification of marker-gene sequences is an important step in microbiome analysis. RESULTS: We present q2-feature-classifier ( https://github.com/qiime2/q2-feature-classifier ), a QIIME 2 plugin c...
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OrthoFinder: phylogenetic orthology inference for comparative genomics
Article
Article
David Emms; Steven Kelly · Genome biology · 2019
Here, we present a major advance of the OrthoFinder method. This extends OrthoFinder's high accuracy orthogroup inference to provide phylogenetic inference of orthologs, rooted gene trees, gene duplication events, the ro...
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Scalable molecular dynamics with NAMD
Article
Article
J. C. Phillips; Rosemary Braun; Wei Wang; James C. Gumbart; Emad Tajkhorshid; Elizabeth Villa; Christophe Chipot; Robert D. Skeel · Journal of Computational Chemistry · 2005
NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD scales to hundreds of processors on high-end parallel platforms, as well as tens of processors on lo...
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The ORCA program system
Article
Article
Frank Neese · Wiley Interdisciplinary Reviews Computational Molecular Science · 2011
Abstract ORCA is a general‐purpose quantum chemistry program package that features virtually all modern electronic structure methods (density functional theory, many‐body perturbation and coupled cluster theories, an...
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WGCNA: an R package for weighted correlation network analysis
Article
Article
Peter Langfelder; Steve Horvath · BMC Bioinformatics · 2008
BACKGROUND: Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method for describing the correlation patterns a...
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voom: precision weights unlock linear model analysis tools for RNA-seq read counts
Article
Article
Charity W. Law; Yunshun Chen; Wei Shi; Gordon K. Smyth · Genome biology · 2014
New normal linear modeling strategies are presented for analyzing read counts from RNA-seq experiments. The voom method estimates the mean-variance relationship of the log-counts, generates a precision weight for each ob...
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