Stochastic – alle Bücher, LPs und CDs, Seite 2

Harald Luschgy, Gilles Pagès
Marginal and Functional Quantization of Stochastic Processes

Vector Quantization, a pioneering discretization method based on nearest neighbor search, emerged in the 1950s primarily in signal processing, electrical engineering, and information theory. Later in the …

lieferbar innerhalb 2-3 Wochen

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Sun¿ica ¿Ani¿, Jeffrey Kuan, Boris Muha, Krutika Tawri
Deterministic and Stochastic Fluid-Structure Interaction

Advances in Mathematical Fluid Mechanics

This book explores the most recent developments in the field of deterministic and stochastic fluid-structure interaction (FSI), which describes the coupled dynamical interaction between fluids and deforma…

lieferbar ab 7.1.2026.

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Norbert Henze
Arbeitsbuch Stochastik

Arbeitsbuch Stochastik (Einführung und Grundzüge der Maßtheorie) Dieses Arbeitsbuch enthält die Aufgaben, Hinweise, Lösungen und Lösungswege der Kapitel 2 bis 8 des Lehrbuchs Stochastik: Eine Einführung m…

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Hamilton Galindo Gil, Alexis Montecinos Bravo, Marco Antonio Ortiz Sosa
Dynamic Stochastic General Equilibrium Models

This textbook guides the student step-by-step in developing and solving a DSGE (Dynamic Stochastic General Equilibrium) model-not only from the technical and conceptual aspects but also through the simula…

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Tadeusz Sawik
Stochastic Programming in Supply Chain Risk Management

This book offers a novel multi-portfolio approach and stochastic programming formulations for modeling and solving contemporary supply chain risk management problems. The focus of the book is on supply ch…

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Samir Tigane, Laid Kahloul, Abdelhamid Mellouk
Enhancing Stochastic Petri Nets with Reconfigurability

This book explores the world of reconfigurable stochastic Petri nets (RSPNs), a powerful method for modeling and verifying complex, dynamic and reconfigurable systems. As modern discrete-event systems bec…

lieferbar innerhalb 1-2 Wochen

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Stochastic Geometry: Percolation, Tesselations, Gaussian Fields and Point Processes

An Introduction to Russo-Seymour-Welsh Theory.- 2. Random Tessellations - An Overview of Models.- 3. Gaussian Fields through Geometrical Properties.- 4. Complex Gaussian Zeros and Eigenvalues.- 5. Point P…

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Bernd Heidergott, Felisa Vazquez-Abad
Optimization and Learning via Stochastic Gradient Search

An introduction to gradient-based stochastic optimization that integrates theory and implementationThis book explains gradient-based stochastic optimization, exploiting the methodologies of stochastic app…

lieferbar in mind. 4 Wochen

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Dmitrii Lozovanu, Stefan Wolfgang Pickl
Markov Decision Processes and Stochastic Positional Games

This book presents recent findings and results concerning the solutions of especially finite state-space Markov decision problems and determining Nash equilibria for related stochastic games with average …

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Recent Developments in Stochastic Numerics and Computational Finance

This book presents a collection of recent advances in stochastic numerical analysis and computational finance. Stochastic numerical methods have played a pivotal role in probability theory, statistics, an…

lieferbar ab 26.12.2025.

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Georgy Golitsyn, Costas Varotsos
The Stochastic Nature of Environmental Phenomena and Processes

This book is useful not only for young but also for mature scientists who are preparing methods for studying natural environmental phenomena and their alteration by human activity.As spatio-temporal scale…

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Serdar Yüksel, Tamer Ba¿ar
Stochastic Teams, Games, and Control under Information Constraints

This monograph presents a mathematically rigorous and accessible treatment of the interaction between information, decision, control, and probability in single-agent and multi-agent systems. The book prov…

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XIV Symposium on Probability and Stochastic Processes

The geometry of the deep linear network.- An introduction to the stochastic heat equation: global existence and blowup.- On the number of crossings in a random labelled tree.- Crossing bridges between per…

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Cong Huang, Hamid Reza Karimi, Peng Mei
Event-Driven State Estimation for Stochastic Networked Systems

Event-Driven State Estimation for Stochastic Networked Systems offers a comprehensive and clear explanation of recent developments in event-based state estimation for stochastic systems within limited com…

lieferbar in mind. 4 Wochen

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Samir Brahim Belhaouari, Halima Bensmail, Farshid Mehrdoust
Discrete Mathematics, Probability Theory and Stochastic Processes

This book provides a comprehensive overview of discrete mathematics, probability theory, and stochastic processes, covering a wide range of topics in each area. It is designed to be a self-contained resou…

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

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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Nan Chen
Stochastic Methods for Modeling and Predicting Complex Dynamical Systems

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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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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Steven T. Hackman, Antonius B. Dieker
QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accuratel…

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Alecos Papadopoulos, Christopher F. Parmeter
Two-Tier Stochastic Frontier Analysis for the Social Sciences

This textbook provides an up-to-date treatment of the two-tier stochastic frontier model and its applications across the social sciences. It is a cohesive treatise on both the classical methods of estimat…

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