电子书 > 科学 > 数学 > 概率论，统计 > Alessandro Di Bucchianico & Robert M.M. Mattheij: Progress in Industrial Mathematics at ECMI 2004 (PDF)

Alessandro Di Bucchianico & Robert M.M. Mattheij
Progress in Industrial Mathematics at ECMI 2004 [PDF ebook]

支持

的封面 Alessandro Di Bucchianico & Robert M.M. Mattheij: Progress in Industrial Mathematics at ECMI 2004 (PDF)

ECMI has a brand name in Industrial Mathematics and organises successful biannual conferences. This time, the conference on Industrial Mathematics held in Eindhoven in June 2004 Mathematics focused on Aerospace, Electronic Industry, Chemical Technology, Life Sciences, Materials, Geophysics, Financial Mathematics and Water flow. The majority of the invited talks on these topics can be found in these proceedings. Apart from these lectures, a large number of contributed papers and minisymposium papers are included here. They give an interesting (and impressive) overview of the important place mathematics has achieved in solving all kinds of problems met in industry, and commerce in particular.

€149.79

表中的内容

Theme: Aerospace.- Theme: Electronic Industry.- Theme: Chemical Technology.- Theme: Life Sciences.- Theme: Materials.- Theme: Geophysics.- Theme: Financial Mathematics.- Theme: Water Flow.- Other Contributions.

购买此电子书可免费获赠一本！

语言英语 ● 格式 PDF ● 网页 678 ● ISBN 9783540280736 ● 文件大小 14.9 MB ● 年龄 02-99 年份 ● 编辑 Alessandro Di Bucchianico & Robert M.M. Mattheij ● 出版者 Springer Berlin ● 市 Heidelberg ● 国家 DE ● 发布时间 2006 ● 下载 24 个月 ● 货币 EUR ● ID 2161008 ● 复制保护 社会DRM

来自同一作者的更多电子书 / 编辑

Alessandro Di Bucchianico Robert M.M. Mattheij Marc Adriaan Peletier Robert M. M. Mattheij

4,110 此类电子书

的封面 Valbona Çinaj: Statistika ne biznes dhe ekonomiks

Valbona Çinaj: Statistika ne biznes dhe ekonomiks

Document from the year 2020 in the subject Mathematics – Statistics, , course: Economics, Statistic For Business, language: Albanian, abstract: Në përdorim të zakonshëm, njerëzit mendojnë për statist …

的封面 Resve A. Saleh & Sohaib Majzoub: Fundamentals of Robust Machine Learning

Resve A. Saleh & Sohaib Majzoub: Fundamentals of Robust Machine Learning

An essential guide for tackling outliers and anomalies in machine learning and data science. In recent years, machine learning (ML) has transformed virtually every area of research and technology, be …

的封面 Angelica Lo Duca: Become a Great Data Storyteller

Angelica Lo Duca: Become a Great Data Storyteller

Unlock the power of data storytelling to create change Become a Great Data Storyteller: Learn How You Can Drive Change with Data is a transformational journey guided by author and researcher Angelica …

的封面 Soraya Sedkaoui: Automated Data Analytics

Soraya Sedkaoui: Automated Data Analytics

The human mind is endowed with a remarkable capacity for creative synthesis between intuition and reason; this mental alchemy is the source of genius. A new synergy is emerging between human ingenuit …

的封面 Nicolas Lanchier: Stochastic Interacting Systems in Life and Social Sciences

Nicolas Lanchier: Stochastic Interacting Systems in Life and Social Sciences

This volume provides an overview of two of the most important examples of interacting particle systems, the contact process, and the voter model, as well as their many variants introduced in the past …

的封面 Eric Sowey & Peter Petocz: A Panorama of Statistics

Eric Sowey & Peter Petocz: A Panorama of Statistics

This book is a stimulating panoramic tour – quite different from a textbook journey – of the world of statistics in both its theory and practice, for teachers, students and practitioners. At each sto …

的封面 Christian H. Weiss: An Introduction to Discrete-Valued Time Series

Christian H. Weiss: An Introduction to Discrete-Valued Time Series

A much-needed introduction to the field of discrete-valued time series, with a focus on count-data time series Time series analysis is an essential tool in a wide array of fields, including business, …

的封面 Jeffrey S Rosenthal: FIRST LOOK AT STOCHASTIC PROCESSES, A

Jeffrey S Rosenthal: FIRST LOOK AT STOCHASTIC PROCESSES, A

This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental math …

的封面 Mark M. Meerschaert & Alla Sikorskii: Stochastic Models for Fractional Calculus

Mark M. Meerschaert & Alla Sikorskii: Stochastic Models for Fractional Calculus

Fractional calculus is a rapidly growing field of research, at the interface between probability, differential equations, and mathematical physics. It is used to model anomalous diffusion, in which a …

的封面 Mariangela Guidolin: Innovation Diffusion Models

Mariangela Guidolin: Innovation Diffusion Models

Innovation Diffusion Models Understand innovation diffusion models and their role in business success Innovation diffusion models are statistical models that predict the medium- and long-term sales p …