Thema Stochastik – alle Bücher

Wim Stefanus van Ackooij, Welington Luis de Oliveira
Methods of Nonsmooth Optimization in Stochastic Programming

This book presents a comprehensive series of methods in nonsmooth optimization, with a particular focus on their application in stochastic programming and dedicated algorithms for decision-making under un…

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Buch

Daniel Alpay
Exercises in Applied Mathematics

Chapman Mathematical Notes

This text presents a collection of mathematical exercises with the aim of guiding readers to study topics in statistical physics, equilibrium thermodynamics, information theory, and their various connecti…

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Alireza Amirteimoori, Biresh K. Sahoo, Vincent Charles, Saber Mehdizadeh
Stochastic Benchmarking

This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of va…

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Guido Boffetta, Angelo Vulpiani
Probability in Physics

UNITEXT for Physics

This textbook aims to bridge a longstanding gap by presenting a rigorous yet physics-centered approach to probability theory and its applications. Despite its foundational role across nearly all areas of …

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Nan Chen
Stochastic Methods for Modeling and Predicting Complex Dynamical Systems

Synthesis Lectures on Mathematics & Statistics

This second edition is an essential guide to understanding, modeling, and predicting complex dynamical systems using new methods with stochastic tools. Expanding upon the original book, the author covers …

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Vasile Dr¿gan, Samir Aberkane, Ioan Lucian Popa
Robust Control of Jump Linear Stochastic Systems

Lecture Notes in Control and Information Sciences - Band 497

This monograph concentrates on the theory of robust control of linear impulsive stochastic systems and stochastic systems with jumps. It discusses theoretical points concerned with impulsive stochastic sy…

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Özgün Elçi, John Hooker, Peter Zhang
The Structure of Fair Solutions

Synthesis Lectures on Operations Research and Applications

This book provides a novel and unifying perspective on the structural properties of fair solutions in optimization formulations. The book also addresses a growing interest in incorporating fairness into t…

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Hans Föllmer, Alexander Schied
Stochastic Finance

De Gruyter Textbook

This book provides an introduction to probabilistic methods in finance, based on stochastic models in discrete time. It is aimed primarily at graduate students in mathematics but may also benefit mathemat…

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Buch

Giovanni Gallavotti
Nonequilibrium and Irreversibility

Lecture Notes in Physics - Band 1040

This 2nd edition of the book focuses on the properties of stationary states in chaotic systems of particles or fluids, setting aside the theory of how these states are achieved. The second edition has bee…

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Jeff Gill, Le Bao
Bayesian Social Science Statistics

This Element introduces the basics of Bayesian regression modeling using modern computational tools. This Element only assumes that the reader has taken a basic statistics course and has seen Bayesian inf…

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Jeff Gill, Le Bao
Bayesian Social Science Statistics

This Element introduces the basics of Bayesian regression modeling using modern computational tools. This Element only assumes that the reader has taken a basic statistics course and has seen Bayesian inf…

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Claudius Gros
Complex and Adaptive Dynamical Systems

This textbook offers a comprehensive introduction to the concepts underpinning our modern understanding of complex and emergent behavior. Mathematical methods necessary for the discussion are introduced a…

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Ivailo Hartarsky, Cristina Toninelli
Kinetically Constrained Models

SpringerBriefs in Mathematical Physics - Band 53

This book offers an in-depth review of kinetically constrained models (KCMs), a topic that lies at the crossroads of probability and statistical mechanics. KCMs have captivated physicists ever since their…

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Buch

Alexander Herzog
Stochastische Produktionsplanung

Studienbücher Wirtschaftsmathematik

Produktions- und Logistikprozesse unterliegen systembedingt verschiedensten Unsicherheiten, die bei der Planung und Optimierung entsprechender Abläufe berücksichtigt werden müssen. Dieses Buch diskutiert …

lieferbar ab 9.5.2026.

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Thorsten Imkamp, Sabrina Proß
Angewandte Mathematik in Projekten

Dieses Buch stellt konkrete Anwendungen mathematischer Modelle und Methoden insbesondere aus den Bereichen Analysis und Stochastik vor. Darunter finden sich Klassiker wie Räuber-Beute-Modelle, die Planung…

lieferbar ab 28.5.2026.

Buch

Alan J. King, Stein W. Wallace
Modeling with Stochastic Programming

Springer Series in Operations Research and Financial Engineering

This is an updated version of what is still the only text to address basic questions about how to model uncertainty in mathematical programming, including how to reformulate a deterministic model so that …

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Buch

Ioannis A. Kougioumtzoglou, Apostolos F. Psaros, Pol D. Spanos
Path Integrals in Stochastic Engineering Dynamics

This book organizes and explains, in a systematic and pedagogically effective manner, recent advances in path integral solution techniques with applications in stochastic engineering dynamics. It fills a …

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Buch

Albert C. J. Luo
Two-dimensional Product-cubic Systems, Vol.II

This book, the sixth of 15 related monographs, discusses singularity and networks of equilibriums and 1-diemsnional flows in product quadratic and cubic systems. The author explains how, in the networks, …

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Reiner Marchthaler, Sebastian Dingler
Kalman Filter

This textbook presents the theory of Kalman filtering in an easy-to-understand way. The authors provide an introduction to Kalman filters and their application in embedded systems. In addition, the design…

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Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala
Bayesian Machine Learning in Quantitative Finance

1 Introduction To Bayesian Machine Learning In Quantitative Finance.- 2 Background To Bayesian Machine Learning In Quantitative Finance.- 3 On the Stochastic Alpha Beta Rho Model and Hamiltonian Monte Car…

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