Handbook of Stochastic Processes, Optimization and Control Theory

Handbook of Stochastic Processes, Optimization and Control Theory
Author: Sharples Norris
Publisher:
Total Pages: 360
Release: 2012
Genre: Mathematical optimization
ISBN: 9788126151776

Download Handbook of Stochastic Processes, Optimization and Control Theory Book in PDF, Epub and Kindle


Handbook of Stochastic Processes, Optimization and Control Theory
Language: en
Pages: 360
Authors: Sharples Norris
Categories: Mathematical optimization
Type: BOOK - Published: 2012 - Publisher:

GET EBOOK

Stochastic Processes, Optimization, and Control Theory: Applications in Financial Engineering, Queueing Networks, and Manufacturing Systems
Language: en
Pages: 397
Authors: Houmin Yan
Categories: Technology & Engineering
Type: BOOK - Published: 2006-09-10 - Publisher: Springer Science & Business Media

GET EBOOK

This edited volume contains 16 research articles. It presents recent and pressing issues in stochastic processes, control theory, differential games, optimizati
Handbook of Stochastic Methods for Physics, Chemistry, and the Natural Sciences
Language: en
Pages: 470
Authors: Crispin W. Gardiner
Categories: Mathematics
Type: BOOK - Published: 1985 - Publisher: Springer

GET EBOOK

The handbook covers systematically and in simple language the foundations of Markov systems, stochastic differential equations, Fokker-Planck equations, approxi
Introduction to Stochastic Control Theory
Language: en
Pages: 322
Authors: Karl J. Åström
Categories: Technology & Engineering
Type: BOOK - Published: 2012-05-11 - Publisher: Courier Corporation

GET EBOOK

This text for upper-level undergraduates and graduate students explores stochastic control theory in terms of analysis, parametric optimization, and optimal sto
Stochastic Methods
Language: en
Pages: 0
Authors: Crispin Gardiner
Categories: Science
Type: BOOK - Published: 2010-10-19 - Publisher: Springer

GET EBOOK

In the third edition of this classic the chapter on quantum Marcov processes has been replaced by a chapter on numerical treatment of stochastic differential eq