Francesco Russo – författare

Models and Measures for Sustainable City: Behavioral Choice Processes Logistics offers a thorough understanding of urban freight movements, focusing on behavioral aspects of consumers. It outlines the role of modelling the behavioral aspects of people determining urban freight movements, mapping the behavior of the end consumer and the retailer which generates freight movements in an urban context. It provides new methods of urban freight transport simulation, taking into account the challenges of sustainable development goals, and uses the most recent approaches in modelling for city logistics scenario design and planning. It also outlines the relationships between measures and main components (expressed by indicators) of sustainable development.This book guides readers in implementing the most effective city logistics measures and actions, addressing the choice of a set of measures and the definition of planning scenarios. Readers are introduced to simulation methods for estimating impacts and system performance, which can be used for comparing the future scenario outcomes according to the set of target indicators defined by Agenda 2030. The book first specifies end consumer behaviors in purchasing processes, analyzing the individual phases of the purchase. The retailer’s behaviors are then specified, and after specifying the patterns of the decision makers, the quantities of goods that constitute the references for the choices of the decision makers are analyzed. Finally, the book presents the problems whose solution makes it possible to identify the vehicles of the various types and then the flows on the network. The overall structure of the model system and the specification of each single model are then given. Some models calibrated in different real cases are presented, highlighting their applicability to other contexts. Finally, implementable measures are presented and the relationships between measures and main components (expressed by indicators) of sustainable development are examined.Transport technicians, post-graduate students, and academics alike will find this a valuable resource for understanding how to incorporate user behavior into transport planning and logistics modeling, ultimately helping them to optimize processes and promote sustainability.Explains end-consumers and restocking choice modelling for supporting ex-ante and ex-post assessment of cities in relation to freight transport and logistics to the sustainable goals to pursue as defined by the Sustainable Development Goals of Agenda 2030Utilizes state-of-the-art research and new research challenges addressed by sustainabilityProvides tools for suggesting the best roadmap for improving city sustainability

European Commission Decisions on Competition provides a comprehensive economic classification and analysis of all European Commission decisions adopted pursuant to Articles 101, 102 and 106 of the FEU Treaty from 1962 to 2009. It also includes a sample of landmark European merger cases. The decisions are organised according to the principal economic theory applied in the case. For each economic category, the seminal Commission decision that became a reference point for that type of anticompetitive behaviour is described. For this, a fixed template format is used throughout the book. All subsequent decisions in which the same economic principle was applied are listed chronologically. It complements the most widely used textbooks in industrial organisation, competition economics and competition law, to which detailed references are offered. The book contains source material for teachers and students, scholars of competition law and economics, as well as practising competition lawyers and officials.

European Commission Decisions on Competition provides a comprehensive economic classification and analysis of all European Commission decisions adopted pursuant to Articles 101, 102 and 106 of the FEU Treaty from 1962 to 2009. It also includes a sample of landmark European merger cases. The decisions are organised according to the principal economic theory applied in the case. For each economic category, the seminal Commission decision that became a reference point for that type of anticompetitive behaviour is described. For this, a fixed template format is used throughout the book. All subsequent decisions in which the same economic principle was applied are listed chronologically. It complements the most widely used textbooks in industrial organisation, competition economics and competition law, to which detailed references are offered. The book contains source material for teachers and students, scholars of competition law and economics, as well as practising competition lawyers and officials.

The book constitutes an introduction to stochastic calculus, stochastic differential equations and related topics such as Malliavin calculus. Stochastic calculus via regularization has been successfully used in applications, for instance in robust finance and on modeling vortex filaments in turbulence.

The book constitutes an introduction to stochastic calculus, stochastic differential equations and related topics such as Malliavin calculus. On the other hand it focuses on the techniques of stochastic integration and calculus via regularization initiated by the authors. The definitions relies on a smoothing procedure  of the integrator process, they generalize the usual Itô and Stratonovich integrals for Brownian motion but the integrator could also not be a semimartingale and the integrand is allowed to be anticipating. The resulting calculus requires a simple formalism: nevertheless it entails pathwise techniques even though it takes into account randomness.  It allows connecting different types of pathwise and non pathwise integrals such as Young, fractional, Skorohod integrals, enlargement of filtration and rough paths. The covariation, but also high order variations, play a fundamental role in the calculus via regularization, which can also be applied for irregularintegrators. A large class of Gaussian processes, various generalizations of semimartingales such that Dirichlet and weak Dirichlet processes are revisited. Stochastic calculus via regularization has been successfully used in applications, for instance in robust finance and on modeling vortex filaments in turbulence. The book is addressed to PhD students and researchers in stochastic analysis and applications to various fields.

This volume contains refereed research or review papers presented at the 6th Seminar on Stochastic Processes, Random Fields and Applications, which took place at the Centro Stefano Franscini (Monte Verità) in Ascona, Switzerland, in May 2008. The seminar focused mainly on stochastic partial differential equations, especially large deviations and control problems, on infinite dimensional analysis, particle systems and financial engineering, especially energy markets and climate models. The book will be a valuable resource for researchers in stochastic analysis and professionals interested in stochastic methods in finance.

This volume contains refereed research or review papers presented at the 6th Seminar on Stochastic Processes, Random Fields and Applications, which took place at the Centro Stefano Franscini (Monte Verità) in Ascona, Switzerland, in May 2008. The seminar focused mainly on stochastic partial differential equations, especially large deviations and control problems, on infinite dimensional analysis, particle systems and financial engineering, especially energy markets and climate models. The book will be a valuable resource for researchers in stochastic analysis and professionals interested in stochastic methods in finance.

This volume contains refereed research or review articles presented at the 7th Seminar on Stochastic Analysis, Random Fields and Applications which took place at the Centro Stefano Franscini (Monte Verità) in Ascona , Switzerland, in May 2011. The seminar focused mainly on: - stochastic (partial) differential equations, especially with jump processes, construction of solutions and approximations - Malliavin calculus and Stein methods, and other techniques in stochastic analysis, especially chaos representations and convergence, and applications to  models of interacting particle systems - stochastic methods in financial models, especially models for power markets or for risk analysis, empirical estimation and approximation, stochastic control and optimal pricing. The book will be a valuable resource for researchers in stochastic analysis and for professionals interested in stochastic methods in finance.​

This book presents in thirteen refereed survey articles an overview of modern activity in stochastic analysis, written by leading international experts. The topics addressed include stochastic fluid dynamics and regularization by noise of deterministic dynamical systems; stochastic partial differential equations driven by Gaussian or Lévy noise, including the relationship between parabolic equations and particle systems, and wave equations in a geometric framework; Malliavin calculus and applications to stochastic numerics; stochastic integration in Banach spaces; porous media-type equations; stochastic deformations of classical mechanics and Feynman integrals and stochastic differential equations with reflection.The articles are based on short courses given at the Centre Interfacultaire Bernoulli of the Ecole Polytechnique Fédérale de Lausanne, Switzerland, from January to June 2012. They offer a valuable resource not only for specialists, but also for other researchers and Ph.D. students in the fields of stochastic analysis and mathematical physics.Contributors:S. AlbeverioM. ArnaudonV. BallyV. BarbuH. BessaihZ. BrzeźniakK. BurdzyA.B. CruzeiroF. FlandoliA. Kohatsu-HigaS. MazzucchiC. MuellerJ. van NeervenM. OndrejátS. PeszatM. VeraarL. WeisJ.-C. Zambrini

Pure and applied stochastic analysis and random fields form the subject of this book. The collection of articles on these topics represent the state of the art of the research in the field, with particular attention being devoted to stochastic models in finance. Some are review articles, others are original papers; taken together, they will apprise the reader of much of the current activity in the area.

This volume contains 20 refereed research or review papers presented at the five-day Third Seminar on Stochastic Analysis, Random Fields and Applications which took place at the Centro Stefano Franscini (Monte Verita) in Ascona, Switzerland, from September 20 to 24, 1999. The seminar focused on three topics: fundamental aspects of stochastic analysis, physical modeling, and applications to financial engineering. The third topic was the subject of a mini-symposium on stochastic methods in financial models.

This volume contains the Proceedings of the Fourth Seminar on Stochastic Analy­ sis, Random Fields and Applications, which took place at the Centro Stefano Fran­ scini (Monte Verita) in Ascona (Ticino), Switzerland, from May 20 to 24, 2002. The first three editions of this conference occured in 1993, 1996 and 1999. The Seminar covered several topics: fundamental aspects of stochastic analysis, such as stochastic partial differential equations and random fields, and applications to current active fields such as probabilistic methods in fluid dynamics, biomathe­ matics, and financial modeling. As in the previous editions, this last topic was the subject of the Fourth Minisymposium on Stochastic Methods in Financial Models. These proceedings aim to present key aspects of these topics to a larger audience. All papers in this volume have been refereed. A major topic within Stochastic Analysis is the area of random fields which includes as particular cases, Gaussian random fields, stochastic partial differential equations (s. p. d. e. 's) and stochastic differential equations with values in Banach spaces. In this framework, interesting new developments were presented in the theory of Gaussian random fields on manifolds with applications to astrophysics and neurosciences. Moreover, with the aim of modeling certain very irregular phe­ nomena, a theory of s. p. d. e. 's driven by noises concentrated on hyperplanes was presented.

A collection of 20 refereed research or review papers presented at a six-day seminar in Switzerland. The contributions focus on stochastic analysis, its applications to the engineering sciences, and stochastic methods in financial models, which was the subject of a minisymposium.

Providing an introduction to both classical and modern techniques in projective algebraic geometry, this monograph treats the geometrical properties of varieties embedded in projective spaces, their secant and tangent lines, the behavior of tangent linear spaces, the algebro-geometric and topological obstructions to their embedding into smaller projective spaces, and the classification of extremal cases. It also provides a solution of Hartshorne’s Conjecture on Complete Intersections for the class of quadratic manifolds and new short proofs of previously known results, using the modern tools of Mori Theory and of rationally connected manifolds.The new approach to some of the problems considered can be resumed in the principle that, instead of studying a special embedded manifold uniruled by lines, one passes to analyze the original geometrical property on the manifold of lines passing through a general point and contained in the manifold. Once thisembedded manifold, usually of lower codimension, is classified, one tries to reconstruct the original manifold, following a principle appearing also in other areas of geometry such as projective differential geometry or complex geometry.

Pure and applied stochastic analysis and random fields form the subject of this book. The collection of articles on these topics represent the state of the art of the research in the field, with particular attention being devoted to stochastic models in finance. Some are review articles, others are original papers; taken together, they will apprise the reader of much of the current activity in the area.

A collection of 20 refereed research or review papers presented at a six-day seminar in Switzerland. The contributions focus on stochastic analysis, its applications to the engineering sciences, and stochastic methods in financial models, which was the subject of a minisymposium.

This volume contains 20 refereed research or review papers presented at the five-day Third Seminar on Stochastic Analysis, Random Fields and Applications which took place at the Centro Stefano Franscini (Monte Verita) in Ascona, Switzerland, from September 20 to 24, 1999. The seminar focused on three topics: fundamental aspects of stochastic analysis, physical modeling, and applications to financial engineering. The third topic was the subject of a mini-symposium on stochastic methods in financial models.

This volume contains twenty refereed research or review papers presented at the 4th Seminar on Stochastic Processes, Random Fields and Applications, which took place at the Centro Stefano Franscini (Monte Verita ) in Ascona, Switzerland, from May 19 to 24, 2002. The seminar focused mainly on stochastic partial differential equations, stochastic models in mathematical physics, and financial engineering. The book will be a valuable resource for both researchers in stochastic analysis and professionals interested in stochastic methods in finance and insurance. Contributors: R. J. Adler, X. Bardina, J. Bertoin, P. Biane, A. B. Cruzeiro, J. A. Cuesta-Albertos, R. C. Dalang, I. M. Davies, S. Deparis, M. A. Diop, E. Eberlein, F. Flandoli, J. -P. Fouque, M. Gubinelli, E. A. v. Hammerstein, P. Imkeller, S. Kwapien, R. Landre, P. Lescot, O. Lavaque, D. Marquez-Carreras, C. Martini, A. Mira, G. Papanicolaou, E. Pardoux, I. Pavlyukevich, M.-C. Quenez, J. Rosinski, C. Rovira, R. Sircar, C. Stricker, P. Tenconi, S. Tindel, A. Truman, M. Wschebor, M. Yor, J.-C. Zambrini, X. Zhang, H. Zhao

This volume contains refereed research or review papers presented at the 5th Seminar on Stochastic Processes, Random Fields and Applications, which took place at the Centro Stefano Franscini (Monte Verita) in Ascona, Switzerland, from May 29 to June 3, 2004. The seminar focused mainly on stochastic partial differential equations, stochastic models in mathematical physics, and financial engineering.