Antonino Maugeri
University of Catania
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Featured researches published by Antonino Maugeri.
MATHEMATICAL RESEARCH | 2000
Antonino Maugeri; Dian K. Palagachev; Lubomira G. Softova
Introduction. Boundary Value Problems for Linear Operators with Discontinuous Coefficients. Linear and Quasilinear Operators with VMO Coefficients. Nonlinear Operators with Discontinuous Coefficients. Appendix A1: Functional and Real Analysis Tools. Appendix A2: Maximum Principles. Bibliography. Index. Functional Spaces and Their Respective Norms.
Archive | 2003
Patrizia Daniele; Franco Giannessi; Antonino Maugeri; Meeting on Equilibrium Problems; Variational Models
On Vector Quasi-Equilibrium Problems.- 1. Introduction.- 2. Preliminaries.- 3. Existence Results.- 4. Some Applications.- References.- The Log-Quadratic Proximal Methodology in Convex Optimization Algorithms and Variational Inequalities.- 1. Introduction.- 2. Lagrangians and Proximal Methods.- 2.1. The quadratic augmented Lagrangian.- 2.2. Proximal Minimization Algorithms.- 2.3. Entropic Proximal Methods and Modified Lagrangians.- 2.4. Difficulties with Entropic Proximal Methods.- 2.5. Toward Solutions to Difficulties.- 3. The Logarithmic-Quadratic Proximal Framework.- 3.1. The LQ-Function and its Conjugate: Basic Properties.- 3.2. The Logarithmic-Quadratic Proximal Minimization.- 4. The LQP in Action.- 4.1. Primal LQP for Variational Inequalities over Polyhedra.- 4.2. Lagrangian Methods for convex optimization and variational inequalities.- 4.3. Dual and Primal-Dual Decomposition schemes.- 4.4. Primal Decomposition: Block Gauss-Seidel Schemes for Linearly constrained Problems.- 4.5. Convex Feasibility Problems.- 4.6. Bundle Methods in Nonsmooth Optimization.- References.- The Continuum Model of Transportation Problem.- 1. Introduction.- 2. Calculus of the solution.- References.- The Economic Model for Demand-Supply Problems.- 1. Introduction.- 2. The first phase: formalization of the equilibrium.- 3. The second phase: formalization of the equilibrium.- 4. The dependence of the second phase on the first one.- 5. General model.- 6. Example.- References.- Constrained Problems of Calculus of Variations Via Penalization Technique.- 1. Introduction.- 2. Statement of the problem.- 3. An equivalent statement of the problem.- 4. Local minima.- 5. Penalty functions.- 6. Exact penalty functions.- 6.1. Properties of the function ?.- 6.2. Properties of the function G.- 6.3. The rate of descent of the function ?.- 6.4. An Exact Penalty function.- 7. Necessary conditions for an Extremum.- 7.1. Necessary conditions generated by classical variations.- 7.2. Discussion and Remarks.- References.- Variational Problems with Constraints Involving Higher-Order Derivatives.- 1. Introduction.- 2. Statement of the problem.- 3. An equivalent statement of the problem.- 4. Local minima.- 5. Properties of the function ?.- 5.1. A classical variation of z.- 5.2. The case z ? Z.- 5.3. The case z ? Z.- 6. Exact penalty functions.- 6.1. Properties of the function G.- 6.2. An Exact Penalty function.- 7. Necessary conditions for an Extremum.- References.- On the strong solvability of a unilateral boundary value problem for Nonlinear Parabolic Operators in the Plane.- 1. Introduction.- 2. Hypotheses and results.- 3. Preliminary results.- 4. Proof of the theorems.- References.- Solving a Special Class of Discrete Optimal Control Problems Via a Parallel Interior-Point Method.- 1. Introduction.- 2. Framework of the Method.- 3. Global convergence.- 4. A special class of discrete optimal control problems.- 5. Numerical experiments.- 6. Conclusions.- References.- Solving Large Scale Fixed Charge Network Flow Problems.- 1. Introduction.- 2. Problem Definition and Formulation.- 3. Solution Procedure.- 3.1. The DSSP.- 3.2. Local Search.- 4. Computational Results.- 5. Concluding Remarks.- References.- Variable Projection Methods for Large-Scale Quadratic Optimization in data Analysis Applications.- 1. Introduction.- 2. Large QP Problems in Training Support Vector Machines.- 3. Numerical Solution of Image Restoration Problem.- 4. A Bivariate Interpolation Problem.- 5. Conclusions.- References.- Strong solvability of boundary value problems in elasticity with Unilateral Constraints.- 1. Introduction.- 2. Basic assumptions and main results.- 3. Preliminary results.- 4. Proof of the theorems.- References.- Time Dependent Variational Inequalities -Order Derivatives.- 1. Introduction.- 2. Statement of the problem.- 3. An equivalent statement of the problem.- 4. Local minima.- 5. Properties of the function ?.- 5.1. A classical variation of z.- 5.2. The case z ? Z.- 5.3. The case z ? Z.- 6. Exact penalty functions.- 6.1. Properties of the function G.- 6.2. An Exact Penalty function.- 7. Necessary conditions for an Extremum.- References.- On the strong solvability of a unilateral boundary value problem for Nonlinear Parabolic Operators in the Plane.- 1. Introduction.- 2. Hypotheses and results.- 3. Preliminary results.- 4. Proof of the theorems.- References.- Solving a Special Class of Discrete Optimal Control Problems Via a Parallel Interior-Point Method.- 1. Introduction.- 2. Framework of the Method.- 3. Global convergence.- 4. A special class of discrete optimal control problems.- 5. Numerical experiments.- 6. Conclusions.- References.- Solving Large Scale Fixed Charge Network Flow Problems.- 1. Introduction.- 2. Problem Definition and Formulation.- 3. Solution Procedure.- 3.1. The DSSP.- 3.2. Local Search.- 4. Computational Results.- 5. Concluding Remarks.- References.- Variable Projection Methods for Large-Scale Quadratic Optimization in data Analysis Applications.- 1. Introduction.- 2. Large QP Problems in Training Support Vector Machines.- 3. Numerical Solution of Image Restoration Problem.- 4. A Bivariate Interpolation Problem.- 5. Conclusions.- References.- Strong solvability of boundary value problems in elasticity with Unilateral Constraints.- 1. Introduction.- 2. Basic assumptions and main results.- 3. Preliminary results.- 4. Proof of the theorems.- References.- Time Dependent Variational Inequalities - Some Recent Trends.- 1. Introduction.- 2. Time - an additional parameter in variational inequalities.- 2.1. Time-dependent variational inequalities and quasi-variational inequalities.- 2.2. Some classic results on the differentiability of the projection on closed convex subsets in Hilbert space.- 2.3. Time-dependent variational inequalities with memory terms.- 3. Ordinary Differential Inclusions with Convex Constraints: Sweeping Processes.- 3.1. Moving convex sets and systems with hysteresis.- 3.2. Sweeping processes and generalizations.- 4. Projected dynamical systems.- 4.1. Differentiability of the projection onto closed convex subsets revisited.- 4.2. Projected dynamical systems and stationarity.- 4.3. Well-posedness for projected dynamical systems.- 5. Some Asymptotic Results.- 5.1. Some classical results.- 5.2. An asymptotic result for full discretization.- 5.3. Some convergence results for continuous-time subgradient procedures for convex optimization.- References.- On the Contractibility of the Efficient and Weakly Efficient Sets in R2.- 1. Introduction.- 2. Preliminaries.- 3. Topological structure of the efficient sets of compact convex sets.- 4. Example.- References.- Existence Theorems for a Class of Variational Inequalities and Applications to a Continuous Model of Transportation.- 1. Introduction.- 2. Continuous transportation model.- 3. Existence Theorem.- References.- On Auxiliary Principle for Equilibrium Problems.- 1. Introduction.- 2. The auxiliary equilibrium problem.- 3. The auxiliary problem principle.- 4. Applications to variational inequalities and optimization problems.- 5. Concluding remarks.- References.- Multicriteria Spatial Price Networks: Statics and Dynamics.- 1. Introduction.- 2. The Multicriteria Spatial Price Model.- 3. Qualitative Properties.- 4. The Dynamics.- 5. The Discrete-Time Algorithm.- 6. Numerical Examples.- 7. Summary and Conclusions.- References.- Non regular data in unilateral variational problems.- 1. Introduction.- 2. The approach by truncation and approximation.- 3. Renormalized formulation.- 4. Multivalued operators and more general measures.- 5. Uniqueness and convergence.- References.- Equilibrium Concepts in Transportation Networks: Generalized Wardrop Conditions and Variational Formulations.- 1. Introduction.- 2. Equilibrium model in a traffic network.- References.- Variational Geometry and Equilibrium.- 1. Introduction.- 2. Variational Inequalities and Normals to Convex Sets.- 3. Quasi-Variational Inequalities and Normals to General Sets.- 4. Calculus and Solution Perturbations.- 5. Application to an Equilibrium Model with Aggregation.- References.- On the Calculation of Equilibrium in Time Dependent Traffic Networks.- 1. Introduction.- 2. Calculation of Equilibria.- 3. The algorithm.- 4. Applications and Examples.- 5. Conclusions.- References.- Mechanical Equilibrium and Equilibrium Systems.- 1. Introduction.- 2. Physical motivation.- 3. Statement of the mechanical force equilibrium problem.- 4. The principle of virtual work.- 5. Characterization of the constraints.- 6. Quasi-variational inequalities (QVI).- 7. Principle of virtual work in force fields under scleronomic and holonomic constraints.- 8. Dual form of the principle of virtual work in force field under scleronomic and holonomic constraints.- 9. Procedure for solving mechanical equilibrium problems.- 10. Existence of solutions.- References.- False Numerical Convergence in Some Generalized Newton Methods.- 1. Introduction.- 2. Some generalized Newton methods.- 3. False numerical convergence.- 4. An example.- 5. Avoiding false numerical convergence.- References.- Distance to the Solution Set of an Inequality with an Increasing Function.- 1. Introduction.- 2. Preliminaries.- 3. Distance to the solution set of the inequality with an arbitrary increasing function.- 4. Distance to the solution set of the inequality with an ICAR function.- 5. Inequalities with an increasing function defined on the entire space.- 6. Inequalities with a topical function.- References.- Transportation Networks with Capacity Constraints.- 1. Introduction.- 2. Wardrops generalized equilibrium condition.- 3. A triangular network.- 4. More about generalized equilibrium principle.- 5. Capacity constraints and paradox.- References.
Journal of Optimization Theory and Applications | 1999
Patrizia Daniele; Antonino Maugeri; Werner Oettli
We consider the existence, characterization, and calculation of equilibria in transportation networks, when the route capacities and demand requirements depend on time. The problem is situated in a Banach space setting and formulated in terms of a variational inequality.
Journal of Global Optimization | 2010
Antonino Maugeri; Fabio Raciti
We present an improvement of a recent duality theorem and a new result which stresses the fact that the strong duality, without assumptions on the interior of the ordering cone, is related to the normal cone.
Optimization | 2011
Annamaria Barbagallo; Antonino Maugeri
We consider the dynamic oligopolistic market equilibrium problem introduced in Barbagallo and Cojocaru [Dynamic equilibrium formulation of oligopolistic market problem, Math. Comput. Model. 49 (2009), pp. 966–976], in which the equilibrium conditions are equivalently expressed in terms of an evolutionary variational inequality. For such problem, we give existence theorems and apply the infinite-dimensional duality theorem developed in Maugeri and Raciti [Remarks on infinite dimensional duality, J. Global Optim. 46 (2010), pp. 581–588.], obtaining the existence of Lagrange variables, which allow description of the behaviour of the market. Moreover, we present some sensitivity results. We remark that the variational inequality formulation plays a fundamental role in order to achieve all the above results.
Optimization Letters | 2007
Antonino Maugeri; Fabio Raciti
The aim of this paper is to present a way to study directly generalized complementarity problems in normed spaces. By means of new results on infinite dimensional Lagrange theory we show some optimality conditions which reduce the study of the problems to the one of suitable systems of equalities and inequalities.
Archive | 2001
Patrizia Daniele; Antonino Maugeri
We consider a time-dependent economic market in order to show the existence of time-dependent market equilibrium (which we call dynamic equilibrium). The model we are concerned with is the spatial price equilibrium model in the presence of excesses of supplies and of demands.
Archive | 2008
Antonino Maugeri; Carmela Vitanza
Abstract The paper presents variational models for dynamic traffic, dynamic market, and evolutionary financial equilibrium problems taking into account that the equilibria are not fixed and move with time. The authors provide a review of the history of the variational inequality approach to problems in physics, traffic networks, and others, then they model the dynamic equilibrium problems as time-dependent variational inequalities and give existence results. Moreover, they present an infinite dimensional Lagrangean duality and apply this theory to the above time-dependent variational inequalities.
Forum Mathematicum | 1998
Antonino Maugeri; Dian K. Palagachev
Abstract Strong solvability is proved in the Sobolev space W 2, p (Ω), 1 < p < ∞, for the regular oblique derivative problem assuming .
Neuroscience Letters | 2009
Giovanna Alagona; Marinella Coco; G. G. Rapisarda; Erminio Costanzo; Tiziana Maci; Domenico A. Restivo; Antonino Maugeri; Vincenzo Perciavalle
The objective was to study whether repetitive transcranial magnetic stimulation (rTMS) of the motor cortex could induce modification of peripheral blood lactate values. Nineteen young healthy volunteers were included; during the study, all subjects were at rest, sitting on a comfortable armchair. The muscular activation was evaluated by continuous electromyographic record. TMS was performed by using a circular coil at the vertex. Resting motor threshold (rMT) was defined as the lowest TMS intensity able to induce motor responses of an amplitude >50 microV in the relaxed contralateral target muscle in approximately 50% of 20 consecutive stimuli. Venous blood lactate values were measured before, immediately after and 10 min after a single session of low frequencies (1Hz for 15 min) rTMS (LF rTMS) or high frequency (20 Hz for 15 min) rTMS (HF rTMS). As expected, LF rTMS induced a decrease of motor cortex excitability, whereas HF rTMS evoked an increase of motor cortex excitability. However, in the present investigation we observed that both conditions are associated to a significant increase of blood lactate. Since in our experimental conditions we can exclude a muscular production of lactate, the significant increment of peripheral blood lactate values, observed 10 min after the end of the rTMS session, is probably due to the crossing by brain-produced lactate of the blood-brain barrier.