Author: Karel Raets
Publisher:
ISBN:
Category :
Languages : fr
Pages : 0
Book Description
Pratique du calcul. Carnet 1
Calcul. Les premiers nombres. Pratique des ensembles. Première année. Cahier 1-2
Document complémentaire au bulletin d'information Num 111
Author: FIB – International Federation for Structural Concrete
Publisher: FIB - International Federation for Structural Concrete
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 164
Book Description
Publisher: FIB - International Federation for Structural Concrete
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 164
Book Description
Les Livres de L'année
Dictionnaire de Medecine Et de Chirurgie Pratiques
Journal of the Senate of Virginia
Author: Virginia. General Assembly. Senate
Publisher:
ISBN:
Category : Virginia
Languages : en
Pages : 1540
Book Description
Vols. for 1831/32-1940 include Senate documents.
Publisher:
ISBN:
Category : Virginia
Languages : en
Pages : 1540
Book Description
Vols. for 1831/32-1940 include Senate documents.
Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Author: Adriano Polpo
Publisher: Springer
ISBN: 3319911430
Category : Mathematics
Languages : en
Pages : 306
Book Description
These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2017), held in São Carlos, Brazil, aim to expand the available research on Bayesian methods and promote their application in the scientific community. They gather research from scholars in many different fields who use inductive statistics methods and focus on the foundations of the Bayesian paradigm, their comparison to objectivistic or frequentist statistics counterparts, and their appropriate applications. Interest in the foundations of inductive statistics has been growing with the increasing availability of Bayesian methodological alternatives, and scientists now face much more difficult choices in finding the optimal methods to apply to their problems. By carefully examining and discussing the relevant foundations, the scientific community can avoid applying Bayesian methods on a merely ad hoc basis. For over 35 years, the MaxEnt workshops have explored the use of Bayesian and Maximum Entropy methods in scientific and engineering application contexts. The workshops welcome contributions on all aspects of probabilistic inference, including novel techniques and applications, and work that sheds new light on the foundations of inference. Areas of application in these workshops include astronomy and astrophysics, chemistry, communications theory, cosmology, climate studies, earth science, fluid mechanics, genetics, geophysics, machine learning, materials science, medical imaging, nanoscience, source separation, thermodynamics (equilibrium and non-equilibrium), particle physics, plasma physics, quantum mechanics, robotics, and the social sciences. Bayesian computational techniques such as Markov chain Monte Carlo sampling are also regular topics, as are approximate inferential methods. Foundational issues involving probability theory and information theory, as well as novel applications of inference to illuminate the foundations of physical theories, are also of keen interest.
Publisher: Springer
ISBN: 3319911430
Category : Mathematics
Languages : en
Pages : 306
Book Description
These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2017), held in São Carlos, Brazil, aim to expand the available research on Bayesian methods and promote their application in the scientific community. They gather research from scholars in many different fields who use inductive statistics methods and focus on the foundations of the Bayesian paradigm, their comparison to objectivistic or frequentist statistics counterparts, and their appropriate applications. Interest in the foundations of inductive statistics has been growing with the increasing availability of Bayesian methodological alternatives, and scientists now face much more difficult choices in finding the optimal methods to apply to their problems. By carefully examining and discussing the relevant foundations, the scientific community can avoid applying Bayesian methods on a merely ad hoc basis. For over 35 years, the MaxEnt workshops have explored the use of Bayesian and Maximum Entropy methods in scientific and engineering application contexts. The workshops welcome contributions on all aspects of probabilistic inference, including novel techniques and applications, and work that sheds new light on the foundations of inference. Areas of application in these workshops include astronomy and astrophysics, chemistry, communications theory, cosmology, climate studies, earth science, fluid mechanics, genetics, geophysics, machine learning, materials science, medical imaging, nanoscience, source separation, thermodynamics (equilibrium and non-equilibrium), particle physics, plasma physics, quantum mechanics, robotics, and the social sciences. Bayesian computational techniques such as Markov chain Monte Carlo sampling are also regular topics, as are approximate inferential methods. Foundational issues involving probability theory and information theory, as well as novel applications of inference to illuminate the foundations of physical theories, are also of keen interest.
Les Livres de L'année
Book Catalogue
Cryptographie : principes et mises en œuvre / 2ème édition revue et augmentée
Author: BARTHELEMY Pierre
Publisher: Lavoisier
ISBN: 2746288168
Category :
Languages : en
Pages : 482
Book Description
Quels sont les enjeux de la cryptographie moderne ? Quels sont ses objets, son langage ? Quelles sont les solutions actuelles aux problèmes de confidentialité, d'authentification et d'anonymat ? Quel degré de confiance peut-on accorder à ces solutions ? Cette seconde édition, enrichie et mise à jour, propose un panorama des outils et procédés de la cryptographie. Après avoir présenté et analysé les méthodes, cet ouvrage offre une description précise des techniques mathématiques indispensables et des principales primitives cryptographiques. Les fonctionnalités de base comme le chiffrement, la signature ou l'authentification, sont étudiées dans le cadre de la cryptographie à clé publique ou secrète. Cryptographie analyse également l'interaction entre ces notions ainsi que leurs mises en oeuvre dans des protocoles généraux et dans des applications concrètes. Il s'intéresse aux attaques contre les systèmes cryptographiques y compris celles par canaux cachés et par injection de fautes. Il aborde le domaine désormais indispensable des preuves de sécurité.
Publisher: Lavoisier
ISBN: 2746288168
Category :
Languages : en
Pages : 482
Book Description
Quels sont les enjeux de la cryptographie moderne ? Quels sont ses objets, son langage ? Quelles sont les solutions actuelles aux problèmes de confidentialité, d'authentification et d'anonymat ? Quel degré de confiance peut-on accorder à ces solutions ? Cette seconde édition, enrichie et mise à jour, propose un panorama des outils et procédés de la cryptographie. Après avoir présenté et analysé les méthodes, cet ouvrage offre une description précise des techniques mathématiques indispensables et des principales primitives cryptographiques. Les fonctionnalités de base comme le chiffrement, la signature ou l'authentification, sont étudiées dans le cadre de la cryptographie à clé publique ou secrète. Cryptographie analyse également l'interaction entre ces notions ainsi que leurs mises en oeuvre dans des protocoles généraux et dans des applications concrètes. Il s'intéresse aux attaques contre les systèmes cryptographiques y compris celles par canaux cachés et par injection de fautes. Il aborde le domaine désormais indispensable des preuves de sécurité.