Ebook > Science > Mathématiques > Rolando Chuaqui: Analysis (PDF)

Rolando Chuaqui
Analysis [PDF ebook]
Geometry, and Probability: Proceedings of the First Chilean Symposium of Mathematics

Support

Couverture du Rolando Chuaqui: Analysis (PDF)

This volume contains versions of invited addresses and communications for the First Chilean Symposium of Mathematics, revealing the results of the mathematical advances in areas such as stochastic analysis, solutions of differential equations, and differential synthetic geometry and probability.

€292.81

Achetez cet ebook et obtenez-en 1 de plus GRATUITEMENT !

Format PDF ● Pages 288 ● ISBN 9781000103236 ● Éditeur Rolando Chuaqui ● Maison d’édition CRC Press ● Publié 2020 ● Téléchargeable 3 fois ● Devise EUR ● ID 7691763 ● Protection contre la copie Adobe DRM

Nécessite un lecteur de livre électronique compatible DRM

Plus d’ebooks du même auteur(s) / Éditeur

Rolando Chuaqui Chuaqui

48 216 Ebooks dans cette catégorie

Couverture du Chris Chatfield: Introduction to Multivariate Analysis

Chris Chatfield: Introduction to Multivariate Analysis

This book provides an introduction to the analysis of multivariate data.It describes multivariate probability distributions, the preliminary analysisof a large -scale set of data, princ iple …

Couverture du Rasajit Kumar (Department of Science, NITTTR, Kolkata, India) Bera & Arabinda (Department of Applied Mathematics, University of Calcutta, Kolkata, INDIA) Roy: Linear and Non-Linear Deformations of Elastic Solids

Rasajit Kumar (Department of Science, NITTTR, Kolkata, India) Bera & Arabinda (Department of Applied Mathematics, University of Calcutta, Kolkata, INDIA) Roy: Linear and Non-Linear Deformations of Elastic Solids

Linear and Non-Linear Deformations of Elastic Solids aims to compile the advances in the field of linear and non-linear elasticity through discussion of advanced topics. Broadly classified into two p …

Couverture du Nailong Zhang: A Tour of Data Science

Nailong Zhang: A Tour of Data Science

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does n …

Couverture du David J. Hand: Artificial Intelligence Frontiers in Statistics

David J. Hand: Artificial Intelligence Frontiers in Statistics

This book presents a summary of recent work on the interface between artificial intelligence and statistics. It does this through a series of papers by different authors working in different areas of …

Couverture du G.E. Vekstein: Physics of Continuous Media

G.E. Vekstein: Physics of Continuous Media

This textbook is based on lectures and tutorials given for several years at the Physics Department of Novosibirsk State University. It is constructed as a set of problems followed by detailed …

Couverture du S. J. Farlow: Self-Organizing Methods in Modeling

S. J. Farlow: Self-Organizing Methods in Modeling

This book introduces English-speaking people the basic group method of data handling algorithm. It could be used as a reference source for researchers or as a textbook for specialized courses and …

Couverture du Laszlo Fuchs: Abelian Groups

Laszlo Fuchs: Abelian Groups

This volume contains information offered at the international conference held in Curacao, Netherlands Antilles. It presents the latest developments in the most active areas of abelian groups, …

Couverture du Nitis Mukhopadhyay: Probability and Statistical Inference

Nitis Mukhopadhyay: Probability and Statistical Inference

Priced very competitively compared with other textbooks at this level! This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutori …

Couverture du Bishwajeet Kumar (Jain University, India) Pandey & Tanvir Habib (Dept. of CSE, GITAM School of Technology, GITAM University, ) Sardar: Big Data Computing

Bishwajeet Kumar (Jain University, India) Pandey & Tanvir Habib (Dept. of CSE, GITAM School of Technology, GITAM University, ) Sardar: Big Data Computing

This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data comput …

Couverture du In-Gee Kim: Annotations to Quantum Statistical Mechanics

In-Gee Kim: Annotations to Quantum Statistical Mechanics

This book is a rewritten and annotated version of Leo P. Kadanoff and Gordon Baym’s lectures that were presented in the book Quantum Statistical Mechanics: Green’s Function Methods in Equilibrium and …

Page suivante >>>