Search results for "Integer"

showing 10 items of 250 documents

Complex fractional moments for the characterization of the probabilistic response of non-linear systems subjected to white noises

2019

In this chapter the solution of Fokker-Planck-Kolmogorov type equations is pursued with the aid of Complex Fractional Moments (CFMs). These quantities are the generalization of the well-known integer-order moments and are obtained as Mellin transform of the Probability Density Function (PDF). From this point of view, the PDF can be seen as inverse Mellin transform of the CFMs, and it can be obtained through a limited number of CFMs. These CFMs’ capability allows to solve the Fokker-Planck-Kolmogorov equation governing the evolutionary PDF of non-linear systems forced by white noise with an elegant and efficient strategy. The main difference between this new approach and the other one based …

Mellin transformGeneralizationInverseFokker-Planck equationProbability density functionWhite noiseComplex fractional momentNonlinear systemIntegerProbability density functionApplied mathematicsFokker–Planck equationSettore ICAR/08 - Scienza Delle CostruzioniMathematics
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Fair Transfer Prices of Global Supply Chains in the Process Industry

2016

This work addresses the optimisation of transfer prices for the fair profit distribution among the members involved in a global supply chain in the process industry. A mixed integer linear programming (MILP) model is developed for production and distribution planning of global supply chains, where the optimal transfer prices of products between plants and markets are determined. Two solution approaches are presented for fair solutions using Nash and lexicographic maximin principles. The applicability of the proposed models and approaches are demonstrated by an illustrative example. The results show that both approaches can fairly distribute the whole supply chain’s profit to the members.

MicroeconomicsSupply chainSupply chain networkBusinessProcess industryMinimaxLexicographical orderInteger programmingProfit distributionProfit (economics)
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OPTIMIZATION OF POLYGENERATION SYSTEMS SERVING A CLUSTER OF BUILDINGS

2012

The optimization of combined energy systems for the production and distribution of warm and cold fluids to civil users is very complex; two possible configurations, i.e. the small single units for individual buildings and the large plants integrated with district heating networks, can be essentially considered, especially in cold climates. Dealing with such a complex problem, involving a very large number of variables, requires efficient algorithms and resolution techniques. The present chapter illustrates a Mixed Integer Linear Program (MILP)1 approach to the optimization of synthesis, design and operation for CHCP-based μ-grids including thermal energy storages. A novel approach is presen…

Mixed Integer Linear Programming Energy saving polygeneration cluster of buildingsSettore ING-IND/10 - Fisica Tecnica Industriale
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Mixed integer optimal compensation: Decompositions and mean-field approximations

2012

Mixed integer optimal compensation deals with optimizing integer- and real-valued control variables to compensate disturbances in dynamic systems. The mixed integer nature of controls might be a cause of intractability for instances of larger dimensions. To tackle this issue, we propose a decomposition method which turns the original n-dimensional problem into n independent scalar problems of lot sizing form. Each scalar problem is then reformulated as a shortest path one and solved through linear programming over a receding horizon. This last reformulation step mirrors a standard procedure in mixed integer programming. We apply the decomposition method to a mean-field coupled multi-agent s…

Model predictive controlApproximation theoryMathematical optimizationLinear programmingBranch and priceShortest path problemDecomposition method (constraint satisfaction)Optimal controlInteger programmingMathematics2012 American Control Conference (ACC)
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Second-order interaction in a Trivariate Generalized Gamma Distribution

2004

The concept of second- (and higher-) order interaction is widely used in categorical data analysis, where it proves useful for explaining the interdependence among three (or more) variables. Its use seems to be less common for continuous multivariate distributions, most likely owing to the predominant role of the Multivariate Normal distribution, for which any interaction involving more than two variables is necessarily zero. In this paper we explore the usefulness of a second-order interaction measure for studying the interdependence among three continuous random variables, by applying it to a trivariate Generalized Gamma distribution proposed by Bologna(2000).

Multivariate statisticsInteractionJoint probability distributionStatisticsGeneralized gamma distributionGeneralized integer gamma distributionMultivariate normal distributionStatisticalClassificationRandom variableMeasure (mathematics)Zero (linguistics)Mathematics
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Hierarchy of solutions to the NLS equation and multi-rogue waves.

2014

The solutions to the one dimensional focusing nonlinear Schrödinger equation (NLS) are given in terms of determinants. The orders of these determinants are arbitrarily equal to 2N for any nonnegative integer $N$ and generate a hierarchy of solutions which can be written as a product of an exponential depending on t by a quotient of two polynomials of degree N(N+1) in x and t. These solutions depend on 2N-2 parameters and can be seen as deformations with 2N-2 parameters of the Peregrine breather P_{N} : when all these parameters are equal to 0, we recover the P_{N} breather whose the maximum of the module is equal to 2N+1. Several conjectures about the structure of the solutions are given.

NLS equationHistorywronskiansDegree (graph theory)Breatherrogue waves.Mathematical analysisPeregrine breathers[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]rogue waves33Q55 37K10 47.10A- 47.35.Fg 47.54.BdComputer Science ApplicationsEducationExponential functionsymbols.namesakeInteger[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]Product (mathematics)symbols[MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]Rogue waveNonlinear Schrödinger equationQuotientMathematics
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Ultrastructure, development, and moulting of the aesthetascs of Neomysis integer and Idotea baltica (Crustacea, Malacostraca)

1983

The development of the aesthetascs of Neomysis integer (Malacostraca, Mysidacea) and Idotea baltica (Malacostraca, Isopoda) were investigated by electron microscope methods. Basically the aesthetascs of both species develop according to the same pattern. The newly formed sensillar shafts lie invaginated within the epidermal tissue. They are formed by numerous enveloping cells, which are arranged telescopically one by one. Each enveloping cell secretes a definite portion of the new shaft cuticle. The innermost enveloping cell extends furthest distally and deposits the cuticle of the future shaft tip. The outer enveloping cells produce the cuticle of the more proximal shaft portions. Whereas …

Neomysis integerintegumentary systembiologyAnatomybiology.organism_classificationIdoteaNeomysisMalacostracaEcdysisUltrastructureAnimal Science and ZoologyMoultingDevelopmental BiologyCuticle (hair)Zoomorphology
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The exponent for superalgebras with superinvolution

2018

Abstract Let A be a superalgebra with superinvolution over a field of characteristic zero and let c n ⁎ ( A ) , n = 1 , 2 , … , be its sequence of ⁎-codimensions. In [6] it was proved that such a sequence is exponentially bounded. In this paper we capture this exponential growth for finitely generated superalgebras with superinvolution A over an algebraically closed field of characteristic zero. We shall prove that lim n → ∞ ⁡ c n ⁎ ( A ) n exists and it is an integer, denoted exp ⁎ ⁡ ( A ) and called ⁎-exponent of A. Moreover, we shall characterize finitely generated superalgebras with superinvolution according to their ⁎-exponent.

Numerical AnalysisSequencePure mathematicsAlgebra and Number TheoryExponentSuperinvolution010102 general mathematicsZero (complex analysis)Exponent; Exponential growth; SuperinvolutionField (mathematics)010103 numerical & computational mathematics01 natural sciencesExponential growthSuperalgebraIntegerBounded functionExponentDiscrete Mathematics and CombinatoricsGeometry and Topology0101 mathematicsAlgebraically closed fieldSuperinvolution Exponent Exponential growthMathematics
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A Column Generation Approach to Scheduling of Periodic Tasks

2011

We present an algorithm based on column generation for a real time scheduling problem, in which all tasks appear regularly after a given period. Furthermore, the tasks exchange messages, which have to be transferred over a bus, if the tasks involved are executed on different ECUs. Experiments show that for large instances our preliminary implementation is faster than the previous approach based on an integer linear programming formulation using a state-of-the-art solver.

On columnJob shop schedulingComputer scienceColumn generationParallel computingSolverInteger linear programming formulationScheduling (computing)
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Multicopter UAV design optimization

2014

Designing and selecting hardware for a multirotor can be challenging in order to get the best flight performance out of the system. In addition to selecting the hardware, the number of actuators can also be altered. For a 4 actuator (quadrotor) setup, one set of hardware can give the optimal design, while for a 6 actuator setup (hexarotor) the same hardware may not necessarily give the same response. In this paper we present a design optimization process of a multirotor, where the hardware is selected from a set of low-cost off-the-shelf standard RC hobby parts. Constraining the problem to a given hardware ensures existence of the selected hardware, and the design can be implemented. Also t…

Optimal designSet (abstract data type)EngineeringLinear programmingPayloadbusiness.industryControl theoryControl engineeringSolverbusinessMultirotorActuatorInteger (computer science)2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA)
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