1,721,040 research outputs found
Sulla misura della consonanza nella simulazione degli approcci sistemici vitali
No full textIl tema della valutazione della consonanza, intesa quale tendenza di due entità ad armonizzare i propri profili (espressi in termini di categorie, schemi e dotazione informativa) nonché i propri giudizi, è approfondito in questo lavoro, il cui contributo si rinviene nell’efficace individuazione di una metodologia di misura della consonanza in rapporto ai diversi elementi caratterizzanti i sistemi vitali e i loro sovrasistemi.
La possibilità di misurare l’effetto dei processi decisionali di impresa apre nuovi ed interessanti scenari. Nel lavoro si presenta una metrica per la misurazione della distanza tra la varietà posseduta dagli organi di governo di uno specifico sovrasistema preso a riferimento ed il soggetto principale utilizzatore del modello di supporto.
Le dinamiche che si presentano nel corso dei processi decisionali aziendali non possono essere studiate in maniera indipendente da quelle economiche, psicologiche e culturali degli individui e dei gruppi sociali che sono attori della decisione. Una possibilità e quella di approfondire gli studi che tendono ad esaminare le imprese in un'ottica sistemica e che ne analizzano gli organi di governo. In questo caso, in ogni processo decisionale che coinvolge più di una persona, le scelte fatte da ciascuno influenzano quelle degli altri. Avere a disposizione uno strumento di supporto alle decisioni che permette di valutare come una scelta si ripercuota e influenzi gli altri assume un ruolo determinante in molteplici ambiti. All'uopo e fondamentale introdurre il concetto di consonanza, come compatibilità tra sistemi, atta a consentire che essi possano rapportarsi.
Per tali motivi, il problema che ci si pone e di individuare una metrica per la misurazione della consonanza tra la varietà posseduta dagli organi di governo di uno specifico sovrasistema preso a riferimento ed il soggetto principale utilizzatore del modello di supporto. La soluzione che si propone, basata su un’analogia con le metodologie di analisi impiegate nello studio di molteplici sistemi dinamici di tipo hamiltoniano [Timoshenko, 1974], ha il vantaggio di fornire uno strumento di indagine indipendente dal modello prescelto per l'analisi delle interazioni tra i decisori. Essa fornisce uno strumento che permette grande flessibilità dal punto di vista della capacità di descrivere le entità e i pesi che sono utilizzati dal modello sottostante.The issue of evaluation of consonance, understood as the tendency of the two entities to harmonize their own profiles (expressed in terms of categories, patterns, and supplied information) as well as its judgment, is detailed in this work, whose contribution is found in the effective detection of a methodology to measure the consonance in relation to different elements characterizing the oversystem. The viable systems approach and their ability to measure the effect of the decision-making processes of enterprise opens up new and interesting scenery. In the paper, we present a metric for measuring the distance between the varieties owned by the governing bodies of a specific oversystem taken as a reference and the subject main user of the model support. The dynamics that arise in the course of corporate decision-making can not be studied independently from the economic, psychological and cultural rights of individuals and social groups that are actors in the decision. And a chance to further his studies tend to examine in a systematic and companies that analyze government bodies. In this case, in any decision-making process that involves more than one person, each influencing the choices made by those of others. Be prepared to provide a tool for decision support that allows the assessment is passed as a choice and influence others plays a key role in many areas. Purpose and essential to introduce the concept of consonance, as compatibility between systems, adapted to allow that they can relate. Per these reasons, the problem that arises, and to identify a metric for measuring the consonance between the variety owned by the organs government of a specific oversystem taken as a reference and the subject of the main user support model. The solution that is proposed, based on an analogy with the methods of analysis used in the study of many dynamical systems of type Hamiltonian [Timoshenko, 1974], has the advantage of providing an investigative tool independent of the model chosen for the analysis of interactions between decision makers. It provides a tool that allows great flexibility from the point of view of the ability to describe the entity and the weights that are used by the underlying model
Ricerche per Lidia: il femminismo nelle arti visive, nel corpo, nelle migrazioni, nella fantascienza, nel presente e futuro interspecie - volume 1
No full textA parallel Block Lanczos algorithm and its implementation for the evaluation of some eigenvalues of large sparse symmetric matrices on multicomputers
Full text linkIn the present work we describe HPEC (High Performance Eigenvalues Computation), a parallel software package for the
evaluation of some eigenvalues of a large sparse symmetric matrix. It implements an efficient and portable Block Lanczos
algorithm for distributed memory multicomputers. HPEC is based on basic linear algebra operations for sparse and dense
matrices, some of which have been derived by ScaLAPACK library modules. Numerical experiments have been carried out
to evaluate HPEC performance on a cluster of workstations with test matrices from Matrix Market and Higham’s collections.
A comparison with a PARPACKroutine is also detailed. Finally, parallel performance is evaluated on random matrices, using
standard parameters
Application of Support Vector Machines to Melissopalynological Data for Honey Classification.
No full textA sparse nonsymmetric eigensolver for distributed memory architectures
No full textIn this work, we propose an efficient parallel implementation of the nonsymmetric
block Lanczos algorithm for the computation of few extreme eigenvalues, and
corresponding eigenvectors, of real nonhermitian matrices for distributed memory
multicomputers. The reorganisation of the block Lanczos algorithm implemented
allows to exploit a coarse-grained parallelism and to harness the computational power
of the target architectures. The computational kernels of the algorithm are matrix–
matrix multiplications, with dense and sparse factors, QR factorisation and singular
value decomposition. To reduce the total amount of communication involved in the
matrix–matrix multiplication with a sparse factor, we substitute each matrix appearing
in the algorithm with its transpose. Then, we develop an efficient parallelisation of
the matrix–matrix multiplication when the second factor is sparse. Some other linear
algebra operations are performed using ScaLAPACK library. The parallel eigensolver
has been tested on a cluster of PCs. All reported results show the proposed algorithm is
efficient on the target architectures for problems of adequate dimension
Sviluppo di uno strumento software per la valutazione dei sistemi di prototipazione rapida orientata all’utente
No full textA parallel computational kernel for sparse nonsymmetric eigenvalue problems on multicomputers
No full textThe aim of this paper is to show an effective reorganization of the
nonsymmetric block lanczos algorithm efficient, portable and scalable for multiple
instructions multiple data (MIMD) distributed memory message passing
architectures. Basic operations implemented here are matrix-matrix multiplications,
eventually with a transposed and a sparse factor, LU factorisation and
triangular systems solution. Since the communication overhead of the algorithm
inhibits an efficient parallel implementation, we propose a reorganization of the
block algorithm which reduces the total amount of communication involved in
linear algebra operations. Then, we develop an efficient parallelization of the
matrix-matrix multiplication when one of the factor is sparse. Some other linear
algebra operations are performed using ScaLAPACK library. The parallel
eigensolver has been tested on a cluster of PCs. All reported results show the
proposed algorithm is efficient and scalable on the target architectures for problems
of adequate dimension, and it can be the computational kernel of a robust software for large sparse eigenvalue problems
Sviluppo di uno strumento software per la valutazione dei sistemi di prototipazione rapida orientate all’utente.
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