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Distribution (mathematics)

Known as: Theory of distributions, Distribution, Test function 
Distributions (or generalized functions) are objects that generalize the classical notion of functions in mathematical analysis. Distributions make… 
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Related topics

Related topics

35 relations
Bernstein–Sato polynomialBounded variationC++11Caccioppoli set

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Computational Methods in Engineering: A Variety ofPrimal & Mixed Methods, with Global & LocalInterpolations, for Well-Posed or Ill-Posed BCs
In this expository article, a variety of computational methods, such as Collocation, Finite Volume, Finite Element, Boundary… 
Highly Cited
2007
Highly Cited
2007
Clonal particle swarm optimization and its applications
Particle swarm optimization (PSO) is a stochastic global optimization algorithm inspired by social behavior of bird flocking in… 
Highly Cited
2007
Highly Cited
2007
A Microparticle Swarm Optimizer for the Reconstruction of Microwave Images
A novel optimization technique known as the microparticle swarm optimizer (muPSO) is proposed for high-dimensional microwave… 
Highly Cited
2006
Highly Cited
2006
Diversity-based Information Exchange among Multiple Swarms in Particle Swarm Optimization
This paper proposes a method to exchange information among multiple swarms in particle swarm optimization. The provided algorithm… 
Highly Cited
2005
Highly Cited
2005
Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
While single-objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement… 
Highly Cited
2004
Highly Cited
2004
Covering Pareto-optimal fronts by subswarms in multi-objective particle swarm optimization
Covering the whole set of Pareto-optimal solutions is a desired task of multiobjective optimization methods. Because in general… 
Highly Cited
2004
Highly Cited
2004
Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept
Dynamic optimization using evolutionary algorithms is receiving increasing interests. However, typical test functions for… 
Highly Cited
2000
Highly Cited
2000
The new model of parallel genetic algorithm in multi-objective optimization problems - divided range multi-objective genetic algorithm
Proposes a divided-range multi-objective genetic algorithm (DRMOGA), which is a model for the parallel processing of genetic… 
1996
1996
Defect-oriented vs schematic-level based fault simulation for mixed-signal ICs
Escalating demand for mixed-signal Integrated Circuits has been accompanied by the need to develop efficient strategies to… 
Highly Cited
1987
Highly Cited
1987
Design And Test of the 80386
A complex design effort, the 80386 was nevertheless one of the company's most successful projects. The work was completed in less… 
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