Catalog > Ciencia > Matemáticas > Teoría de la probabilidad, estadística > Christian Küchler: Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming (PDF)

Christian Küchler
Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming [PDF ebook]

Soporte

Portada de Christian Küchler: Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming (PDF)

€53.49

Tabla de materias

Stability of Multistage Stochastic Programs.- Recombining Trees for Multistage Stochastic Programs.- Scenario Reduction with Respect to Discrepancy Distances.

Sobre el autor

Dr. Christian Küchler completed his doctoral thesis at the Humboldt University, Berlin. He currently works as a quantitative analyst at Landesbank Berlin AG.

¡Compre este libro electrónico y obtenga 1 más GRATIS!

Idioma Inglés ● Formato PDF ● Páginas 184 ● ISBN 9783834893994 ● Tamaño de archivo 2.7 MB ● Editorial Vieweg & Teubner ● Ciudad Wiesbaden ● País DE ● Publicado 2010 ● Descargable 24 meses ● Divisa EUR ● ID 5251537 ● Protección de copia DRM social

Más ebooks del mismo autor / Editor

Christian Küchler

4.110 Ebooks en esta categoría

Portada de 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 …

Portada de 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 …

Portada de 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 …

Portada de 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 …

Portada de 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 …

Portada de 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 …

Portada de 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, …

Portada de 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 …

Portada de 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 …

Portada de 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 …

siguiente página >>>