Thema Optimierung – alle Bücher, Seite 4

Aviv Tamar, Shie Mannor, Yishay Mansour
Reinforcement Learning Foundations

Bridging the gap between introductory texts and the specialized research literature, this is one of the first truly rigorous yet accessible treatments of modern reinforcement learning. Written by three le…

lieferbar ab 31.7.2026.

Buch

Matus Telgarsky, Miroslav Dudik, Robert E. Schapire
Astral Space

From three of today's top researchers in machine learning, a groundbreaking new theory for understanding convex minimization at infinityNumerous fields of study rely on methods for minimizing convex funct…

lieferbar ab 26.1.2027.

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Felisa Vázquez-Abad, Bernd Heidergott
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 innerhalb 2-3 Wochen

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Marvin Walther
Multikriterielle Optimalsteuerung am Beispiel des nicht-planaren 3D-Drucks

BestMasters

In diesem Buch wird der nicht-planare 3D-Druck als Sonderform des FDM-Verfahrens betrachtet und als multikriterielles Optimalsteuerungsproblem formuliert. Auf diese Weise soll die vergleichsweise komplexe…

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Sheng Wang, Hongxun Hui, Yi Ding, Yonghua Song
Hydrogen Integration in Energy Systems: Modeling, Optimization, and Reliability Evaluation

Green Energy and Technology

This book explores the hydrogen integration in energy systems from a whole system optimisation perspective. The book introduces new modelling, optimisation, and reliability evaluation approaches that supp…

lieferbar innerhalb 2-3 Wochen

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Xiao-Lei Wang, Guang-Hong Yang, Yu-Long Wang
Robust Filtering and Fault Detection for T-S Fuzzy Systems

This book conducts an in-depth research on robust filtering and fault detection for a class of T-S fuzzy systems. On the basis of the existing research on T-S fuzzy theory, robust filtering theory, and fa…

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Thomas Watson
Complexity in Computer Science

Computational complexity theory is about the fundamental capabilities and limitations of efficient computation. Framing the subject in the broader context of computer science, this guidebook is both a sel…

lieferbar ab 30.11.2026.

Buch

Constantin Waubert de Puiseau
Advancing Training and Inference Methods for Reinforcement Learning-Based Job Shop Scheduling

Industrial production is facing growing challenges due to more complex supply chains, shorter development cycles, and greater product variance. At the same time, the availability of production data and ad…

lieferbar innerhalb 2-3 Wochen

Buch

Joyce Weiner
Why AI/Data Science Projects Fail

Synthesis Lectures on Computation and Analytics

This Second Edition addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid these pitfalls. Current statistics show that 87% of AI and Big Dat…

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Manish Yadav, Ashutosh K. Giri, Stepan Ozana
Control Strategies for Non-minimum Phase Systems

Studies in Infrastructure and Control

This book provides overview of numerous control schemes for non-minimum phase and dead-time systems. The inverse response arises from the conflict of two first-order systems with opposite effects. This fe…

lieferbar innerhalb 2-3 Wochen

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Eugene J. Zak
Popular Optimization

Business Guides on the Go

This book uniquely explores popular optimization, presenting fundamental problems from diverse sources. It aims to cultivate a non-traditional problem-solving approach applicable to both optimization and …

lieferbar innerhalb 2-3 Wochen

Buch

Alexander J. Zaslavski
Fixed Point Problems With Infinitely Many Operators

Springer Optimization and Its Applications

This book explores the intricate world of fixed point theory for nonlinear operators, focusing on the challenges and solutions associated with common fixed point problems in various mathematical spaces. A…

lieferbar ab 14.8.2026.

Buch

Alexander J. Zaslavski
Turnpike Phenomenon for Markov Decision Processes

SpringerBriefs in Mathematics

This book provides a comprehensive examination of the structure of approximate optimal policies in Markov decision processes (MDPs) with finite state spaces, as well as approximate optimal solutions for d…

lieferbar innerhalb 2-3 Wochen

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Maxime Zavidovique
Discrete Weak KAM Theory

Lecture Notes in Mathematics - Band 2377

The aim of this book is to present a self-contained account of discrete weak KAM theory. Putting aside its intrinsic elegance, this theory also provides a toy model for classical weak KAM theory, where ma…

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Tianyi Zhao, Jiaming Wang, Yiting Wang
Thermal Distribution Principle and Nonlinear Optimal Control for HVAC Water System

Indoor Environment and Sustainable Building

This book introduces the intelligent control technology of heating ventilation and air conditioning (HVAC) water system in detail, studying its thermal distribution characteristics and optimal control met…

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Constantin Zopounidis, George Fakotakis
Multi-Criteria Methodology for the Dynamic Development of Tourist Areas

Multiple Criteria Decision Making

This book explores how multi-criteria analysis (MCA) methodologies can enhance sustainable tourism management in protected areas, with Samaria National Park in Crete as a primary case study. Topics includ…

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Advances in Best-Worst Method

Lecture Notes in Operations Research

This proceedings book contains selected papers from the Fifth International Workshop on Best-Worst Method (BWM2024), held in Delft, the Netherlands, from 13 to 14 June 2024. It presents recent advancement…

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Advances in Optimization and Wildfire

This book constitutes the proceedings of the First Optimization and Wildfire Conference, held in Luso, Portugal, from October 1-4, 2024. The book features state-of-the-art research results in wildfire man…

lieferbar innerhalb 2-3 Wochen

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AI in Supply Chains

Springer Series in Supply Chain Management - Band 27

Bringing together some of the world's foremost supply-chain thinkers, this book shows how artificial intelligence (AI) is rewriting the rules of global supply chain management. It explores machine learnin…

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Analytics Modeling in Reliability and Machine Learning and Its Applications

Springer Series in Reliability Engineering

This book presents novel research and application chapters on topics in reliability, statistics, and machine learning. It has an emphasis on analytical models and techniques and practical applications in …

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