Catalog > Nauka > Matematyka > Teoria prawdopodobieństwa, statystyka > 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]

Wsparcie

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

€53.49

Spis treści

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

O autorze

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

Kup ten ebook, a 1 kolejny otrzymasz GRATIS!

Język Angielski ● Format PDF ● Strony 184 ● ISBN 9783834893994 ● Rozmiar pliku 2.7 MB ● Wydawca Vieweg & Teubner ● Miasto Wiesbaden ● Kraj DE ● Opublikowany 2010 ● Do pobrania 24 miesięcy ● Waluta EUR ● ID 5251537 ● Ochrona przed kopiowaniem Społeczny DRM

Więcej książek elektronicznych tego samego autora (ów) / Redaktor

Christian Küchler

4 110 Ebooki w tej kategorii

Pokrywa 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 …

Pokrywa 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 …

Pokrywa 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 …

Pokrywa 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 …

Pokrywa 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 …

Pokrywa 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 …

Pokrywa 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, …

Pokrywa 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 …

Pokrywa 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 …

Pokrywa Renee M. P. Teate: SQL for Data Scientists

Renee M. P. Teate: SQL for Data Scientists

Jump-start your career as a data scientist–learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner’s Guide for Building Datasets for Analysis is …

Następna strona >>>