Thema Optimierung – alle Bücher, Seite 3

Ping-Qi Pan
Face Method

The famous simplex method, invented by George B. Dantzig in 1947, moves from vertex to vertex in the underlying polyhedron until achieving an optimal vertex. As one of the most widely used mathematical to…

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Chen Peng, Hongfeng Wang, Yi Yang, Yong Zhang
Modeling and Resilience Recovery for Disrupted Supply Chain

This book focuses on supply chain management, specifically resilience modeling and recovery strategies for disruptions. It combines multi-level analysis (system, product, event, network) with practical to…

lieferbar ab 19.4.2026.

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Teemu Pennanen, Ari-Pekka Perkkiö
Convex Stochastic Optimization

This book studies a general class of convex stochastic optimization (CSO) problems that unifies many common problem formulations from operations research, financial mathematics and stochastic optimal cont…

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Duc Truong Pham, Marco Castellani, Luca Baronti
Intelligent Optimisation with the Bees Algorithm

Springer Series in Advanced Manufacturing

This book offers an extensive guide to understanding, implementing, and applying the Bees Algorithm, a powerful nature-inspired optimisation metaheuristic that mimics the foraging behaviour of honey bees.…

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Duc Truong Pham, Marco Castellani, Luca Baronti
Intelligente Optimierung mit dem Bienenalgorithmus

Dieses Buch bietet einen Leitfaden zum Verständnis, zur Implementierung und zur Anwendung des Bienenalgorithmus -- einer leistungsstarken, naturinspirierten Optimierungs-Metaheuristik, die das Sammelverha…

lieferbar ab 25.5.2026.

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Krzysztof Postek, Alessandro Zocca, Joaquim A. S. Gromicho
Hands-On Mathematical Optimization with Python

This practical guide to optimization combines mathematical theory with hands-on coding examples to explore how Python can be used to model problems and obtain the best possible solutions. Presenting a bal…

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Amir Masoud Rahmani, Atefeh Hemmati, Fatemeh Bazikar, Hossein Moosaei
Optimization Techniques for Deep Learning

Springer Optimization and Its Applications

This book offers a comprehensive guide to optimization techniques in deep learning, a transformative branch of artificial intelligence that has revolutionized fields from computer vision to healthcare. By…

lieferbar ab 27.4.2026.

Buch

Djamila Rekioua
Energy Storage for Renewable Energy Systems

Green Energy and Technology

This book explains single storage and multi-storage systems within the context of renewable energy applications and covers the latest developments. In renewable energy systems, energy storage plays a pivo…

lieferbar ab 27.4.2026.

Buch

Soroush Saghafian
Insight-Driven Problem Solving

Improving public policies, creating the next generation of AI systems, reducing crime, making hospitals more efficient, addressing climate change, controlling pandemics, and reducing disruption in supply …

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Soroush Saghafian
Insight-Driven Problem Solving

Improving public policies, creating the next generation of AI systems, reducing crime, making hospitals more efficient, addressing climate change, controlling pandemics, and reducing disruption in supply …

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Buch

Thomas J Sargent, John Stachurski
Dynamic Programming

Dynamic programming (DP) is a sub-field of optimization concerned with sequential decision making over time. The essential ideas of DP have been adopted in many applications, from robotics and AI to the s…

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Thomas J Sargent, John Stachurski
Dynamic Programming

"Dynamic programming is used in almost every subfield of economics and operations research. This book studies dynamic programming and its applications in economics, finance, and adjacent fields. It b…

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Les Servi
Mission Dependency Network Analysis

This book describes opportunities in mission dependency network analysis made possible by advances in optimization methods. Mission dependency networks are increasingly complex, interconnected, and critic…

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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

Jakob Welik,
Calculation 2nd & 3rd grade - exercise book for arithmetic training. Multiplying, subtracting, dividing and adding - practicing arithmetic: repetition., Volume 1

The book is for children in the 2nd, 3rd and 4th grades. With the tasks you will consolidate your thinking skills in adding, subtracting, multiplying and dividing.

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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…

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Buch

Joyce Weiner
Why AI/Data Science Projects Fail

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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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…

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Buch

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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