E-kitap > Bilim > Matematik > Olasılık Teorisi, İstatistik > 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]

Destek

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

€53.49

İçerik tablosu

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

Yazar hakkında

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

Bu e-kitabı satın alın ve 1 tane daha ÜCRETSİZ kazanın!

Dil İngilizce ● Biçim PDF ● Sayfalar 184 ● ISBN 9783834893994 ● Dosya boyutu 2.7 MB ● Yayımcı Vieweg & Teubner ● Kent Wiesbaden ● Ülke DE ● Yayınlanan 2010 ● İndirilebilir 24 aylar ● Döviz EUR ● Kimlik 5251537 ● Kopya koruma Sosyal DRM

Aynı yazardan daha fazla e-kitap / Editör

Christian Küchler

4.017 Bu kategorideki e-kitaplar

Örtmek 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 …

Örtmek Deborah J. Rumsey: Probability For Dummies

Deborah J. Rumsey: Probability For Dummies

Learn how to calculate your chances with easy-to-understand explanations of probability Probability—the likelihood or chance of an event occurring—is an important branch of mathematics used in busine …

Örtmek Feng-Yu Wang & Panpan Ren: DISTRIBUTION DEPENDENT STOCHASTIC DIFFERENTIAL EQUATIONS

Feng-Yu Wang & Panpan Ren: DISTRIBUTION DEPENDENT STOCHASTIC DIFFERENTIAL EQUATIONS

Corresponding to the link of Itô’s stochastic differential equations (SDEs) and linear parabolic equations, distribution dependent SDEs (DDSDEs) characterize nonlinear Fokker–Planck equations. This t …

Örtmek Field Cady: The Data Science Handbook

Field Cady: The Data Science Handbook

Practical, accessible guide to becoming a data scientist, updated to include the latest advances in data science and related fields. Becoming a data scientist is hard. The job focuses on mathematical …

Örtmek N. W. Galwey: The False Discovery Rate

N. W. Galwey: The False Discovery Rate

The False Discovery Rate An essential tool for statisticians and data scientists seeking to interpret the vast troves of data that increasingly power our world First developed in the 1990s, the False …

Örtmek Varayu Boonpogkrong & Tuan Seng Chew: NON-UNIFORM RIEMANN APPROACH TO STOCHASTIC INTEGRATION, THE

Varayu Boonpogkrong & Tuan Seng Chew: NON-UNIFORM RIEMANN APPROACH TO STOCHASTIC INTEGRATION, THE

This is the first book that presents the theory of stochastic integral using the generalized Riemann approach. Readers who are familiar with undergraduate calculus and want to have an easy access to …

Örtmek Peter C. Bruce & Peter Gedeck: Statistics for Data Science and Analytics

Peter C. Bruce & Peter Gedeck: Statistics for Data Science and Analytics

Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration Statistics for Data Science and Analytics is a comprehensive guide to statis …

Örtmek Alan R. Simon: Data Lakes For Dummies

Alan R. Simon: Data Lakes For Dummies

Take a dive into data lakes ‘Data lakes’ is the latest buzz word in the world of data storage, management, and analysis. Data Lakes For Dummies decodes and demystifies the concept and helps you get a …

Örtmek James R. Carpenter & Jonathan W. Bartlett: Multiple Imputation and its Application

James R. Carpenter & Jonathan W. Bartlett: Multiple Imputation and its Application

Multiple Imputation and its Application The most up-to-date edition of a bestselling guide to analyzing partially observed data In this comprehensively revised Second Edition of Multiple Imputation a …

Örtmek X. Lorca: Tree-based Graph Partitioning Constraint

X. Lorca: Tree-based Graph Partitioning Constraint

Combinatorial problems based on graph partitioning enable us to mathematically represent and model many practical applications. Mission planning and the routing problems occurring in logistics perfec …

Sonraki Sayfa >>>