Download Libro Geometria analitica con elementi di algebra lineare. Con aggiornamento online pdf gratis italiano Leggere Online Geometria analitica con elementi di Libro di Marco Abate Geometria analitica con elementi di algebra lineare. Geometria analitica con elementi di algebra lineare (College) di Abate Autore: Mario Castellano - Acquista on line su Liguori Editore il libro a stampa: Elementi . gmt elementi di algebra lineare e pdf - in matematica, e in particolare in della matrice f. algebra lineare, elementi di geometria analitica ed. 2 libri di testo a. salibra: algebra lineare, m. abate, c. de fabritiis.
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Vettori, matrici, rette e piani nello Geometria ed algebra lineare. Algebra Lineare ; 30 nov Abate, C. Retta passante per l'origine e perpendicolare ad un dato vettore. Lo spazio V si Geometria analitica e algebra lineare: site. Elementi di meccanica e termodinamica. Mara Bruzzi. Algebra lineare e geometria analitica - Munarini Emanuele, Esculapio Acquistalo su libreriauniversitaria. Tali elementi si dicono vettori liberi dello spazio o vettori geometrici e. Candilera Bertapelle - Algebra lineare e primi elementi di geometria.
Cenni di base sulla teoria Anichini, G. Pearson —. Abbena, G. Matrici ad elementi reali: somma, prodotto per uno scalare, prodotto. As a consequence, we confirm a conjecture of Blache that the accumulation points of volumes of log terminal surface without boundary are rational. This is a joint work with Valery Alexeev. It is well known that all trees are planar graphs.
We will discuss whether the latter fact extends to higher dimensions: For example, can we draw any contractible complex into a Euclidean space of twice its dimension? The reason comes ultimately algebra: Some presentations of the trivial group are hard to simplify.
This is joint work with Karim Adiprasito. At the first stage, a convex variant of the Mumford-Shah model is applied to obtain a smooth image. We show that the model has unique solution under different degradations. In the second stage, we apply clustering and thresholding techniques to find the segmentation.
The number of phases is only required in the last stage, so users can modify it without the need of repeating the first stage again. The methodology can be applied to various kind of segmentation problems, including color image segmentation, hyper-spectral image classification, and point cloud segmentation. These conjectures arose in his study of Milnor numbers of isolated complex analytic hyper-surface singularities.
These numbers are sensitive to the topology of such singularities. Teissier solved his conjectures in the geometricsetting in the Cohen-Macaulay case. Rees and Sharp and later Dan Katz settled these conjectures in Noetherian local rings.
Recently Minkowski inequalities have been provedfor non-noetherian filtrations by Cutkosky-Sarkar-Srinivasan. In this lecture, we shall surveythese developments. The regularity of powers of a single ideal is well understood.
A natural question arises what happens when we consider more than one ideals? We prove that in this case also there is a linear upper bound.
Our result is over a standard graded algebra over an Artinian local ring. In another work joint with Tony J. In this talk we shall see if analogous conjectures can be formulated for the function field setting. Bruno Burlando Sorrentino ore - Prof. Bruno Burlando, Dipartimento di Farmacia, Genova "Loopomics: a new paradigm for the functioning of living beings" Abstract: A new paradigm is proposed for the functioning of living beings.
Organisms are thought of as a complex of functional agents FA , where each FA is controlled upstream by at least one FA and controls downstream at least one FA, entailing that every FA is embedded in at least one functional loop. The term loopomics is proposed for this kind of analysis, aimed at describing the organism functioning in terms of FA loop networks.
Loopomics is prone to formalization, and therefore, future development is aimed at developing mathematical models to be verified on molecular biology and physiology data. Once validated, such a new approach could allow a reinterpretation of physiological and pathological processes, thus opening a wide range of possible applications. In particular, the non-stationary analysis of cyclical data that show regime shifts in periodicity, amplitude and phase is challenging as the timing and number of such changes is usually unknown.
We propose a methodology for detecting such regime shifts using several Bayesian transdimensional Markov chain Monte Carlo algorithms which allow for model searches between parameters subspaces of different dimensionality. Our algorithm incorporates multiple model searches, namely the number of regimes and the harmonic models that capture the relevant frequencies along with their amplitudes and phases within each regime.
We illustrate the use of the methodology for data from experiments on rodents to detect instances of sleep apnoea. This is joint work with Barbel Finkenstadt. Manuele Leonelli, School of Mathematics and Statistics, University of Glasgow "Change point identification of extreme regimes" Abstract: Precise knowledge of the tail behaviour of a distribution as well as predicting capabilities about the occurrence of extremes are fundamental in many areas of applications, and in particular for financial time series.
Standard inferential routines for extremes require the imposition of arbitrary assumptions which may negatively affect the statistical estimates. The model class of extreme value mixture models, on the other hand, allows for the precise estimation of the tail of a distribution without requiring any arbitrary assumption.
Here we extend this model class to handle situations where different extreme structures may be useful to perform inference over the extremes of a time series. This is achieved by proposing a novel changepoint approach for extremes, where the changepoints are estimated via Bayesian MCMC routines. Our approach is evaluated through a series of simulations, applied to real financial data sets and assessed against competing approaches.
Evidence demonstrates that the inclusion of changepoints improves the goodness of the extreme estimation in financial applications. EEG and MEG are devoted to detect the electric potential distribution and the magnetic field generated by the brain, respectively, with a unique time resolution.
In particular, for volcanic plumes produced by explosive eruptions, the physical parameters controlling them gas content, temperature, particle size distribution, etc. An alternative is to quantify the probability of the results for example the particle size distribution at the top of the column by coupling deterministic numerical codes with stochastic approaches.
In this presentation, after an introduction on volcanic plumes and their physical-mathematical modeling, I will present some techniques to systematically quantify the uncertainty and sensitivity of the model results to uncertain or variable input parameters, especially to those characterizing the ash size distribution at the base of the eruptive column. In particular, attention will be focused on techniques such as Monte Carlo methods, Latin Hypercube Sampling, and the polynomial chaos expansion.
Rather than a uniform average of the iterates, we consider a weighted average, with weights decaying in a geometric fashion. In the context of linear least squares regression, we show that this averaging scheme has a the same regularizing effect, and indeed is asymptotically equivalent, to ridge regression.
In particular, we derive finite-sample bounds for the proposed approach that match the best known results for regularized stochastic gradient methods.
Verranno introdotti risultati dal punto di vista della Geometria Algebrica, dell'Algebra commutativa e della Geometria Tropicale, frutto dei recenti lavori in collaborazione con Carlini e Kileel, Calussi, Fatabbi e Lorenzini, Carrucoli. I want to survey stratifications coming from geometric properties related to the elliptic fibration on each surface on one hand and the stratification by the Neron-Severi group on the other hand.
The final focus will be on moduli subspaces which fit with the Neron-Severi stratification of Shimada and the stratification by monodromy groups of Bogomolov Pantev and Tschinkel, for which I will give a complete classification. Segre, B. Harbourne, A. Gimigliano and A. Hirschowitz which has been proven to be true in some cases but, in general, is still open. In a recent paper, D. Cook II, B. Harbourne, J. Migliore and U. Nagel, started to investigate a different question by looking at the conditions imposed by one general fat point on the incomplete linear system of curves of given degree passing through a given set of points X not in general position.
There are cases in which the expected number of conditions is not achieved and we have unexpected curves. In their work, they relate the existence of unexpected curves with properties of the line arrangement dual to the given set of points X. In particular, to the splitting type of the arrangement.
In this talk, after describing the problem and the relation between unexpected curves and line arrangements, I will present a joint project with M. Di Marca U. Malara Pedagogical U. We classify supersolvable line arrangements whose dual configuration of points admits unexpected curves and we provide new families of line arrangements having this unexpected property. This talk will be describing some of the issues and challenges arising in analysing and modeling big and complex data.
The presentation will discuss work that has been using artificial intelligence techniques such as agent-based and multi-agent systems, to explore and understand complex and big data in different domains of application, ranging from understanding the dynamics of electronic markets to individual user behaviour in domains such as commerce and education.
Ethical and legal considerations on the use of algorithms for various forms of decision making will also be discussed. Nenad Teofanov University of Novi Sad "Wave front sets and related topics " Abstract: We give a brief look at some aspects of different fields of studies in which the concept of wave front set plays a prominent role.
Then, after introducing the wave front set, we mention several of its modifications, aimed to serve different purposes. The last part of the lecture is devoted to the resolution of wave front sets in the context of time-frequency analysis. This is done by the use of usual integral transforms such as the wavelet, the shearlet and the short-time Fourier transform. Finally, for digitization of the existing continuum theory of wave-front sets we discuss the notion of discrete wave-front set.
Most results on the simplicial complexes with aforementioned properties naturally extend to the case of Cohen-Macaulay-ness in codimension t under weaker assumptions. In particular, the classical Eagon-Reiner theorem, the local behavior and the homological vanishing properties are suitably retained for Cohen-Macaulay-ness in codimension t.
Furthermore, characterizations of certain families of Cohen-Macaulay simplicial complexes carry over characterizations of these families of simplicial complexes which are Cohen-Macaulay in codimension t.
This is not known for arbitrary complexes. This talk is based on recent joint works with H.
Haghighi, S. Fakhari, M. Varbaro and S. This fact generates a very useful synergy between the two fields, CAGD and the theory of curves and surfaces.
In this talk we will illustrate how the interpretation of some of these problems, from the perspective of algebraic geometry, helps to derive interesting theoretical and algorithmic results. For this purpose, we will survey on results on offset varieties as well as on other CAGD constructions as conchoids, cissoids and bisectors. Special attention will be paid to the unirationality of the construction. Some of the results to be presented to this talk has been developed under the frame of the research project MTMP Ministerio de Econom'ia y Competitividad.