Thema Optimierung – 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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Avinash Aithal, Andrew Wainwright, Steve Atkins
Distribution System Operation: Flexibility Services

This open access book is a coherent and accessible source of knowledge on flexibility services for energy. Local flexibility services are a commercial mechanism which allows participants to be renumerated…

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Luigi Ambrosio, Elia Brué, Daniele Semola
Lectures on Optimal Transport

This textbook is addressed to PhD or senior undergraduate students in mathematics, with interests in analysis, calculus of variations, probability and optimal transport. It originated from the teaching ex…

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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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Francisco J. Aragón-Artacho, Miguel A. Goberna
Mathematics in Politics and Governance

This book presents the mathematical tools that politicians use to make rational decisions about health, education, culture, economy, finance, transportation, and national defense for their citizens. The s…

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Dilmurat M. Azimov, Robert H. Bishop
Apollo-Class Targeting and Guidance for Lunar Powered Descent and Precision Landing

Reconstruction of Apollo Ground-based Targeting and On-board Guidance for Powered Descent.- Introduction.- Apollo Descent and Landing Maneuver.- Apollo Lunar Descent and Landing Guidance.- Mathematical Pr…

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Vladyslav Babenko, Volodymyr Kofanov, Peter Kogut, Oleg Kovalenko
Extremal Problems of Analysis and Applications

This book presents solutions to various extremal problems in analysis and provides mathematical tools that can be used to solve complex problems in different areas of fundamental and applied science. Thes…

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Guy Barles, Emmanuel Chasseigne
On Modern Approaches of Hamilton-Jacobi Equations and Control Problems with Discontinuities

General Introduction.- Basic Continuous Framework and Classical Assumptions Revisited.- Part I: A Toolbox for Discontinuous Hamilton-Jacobi Equations and Control Problems.- PDE Tools.- Control Tools.- Mix…

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Vincenzo Basco
Nonsmooth Constrained Optimal Control on Infinite Horizon

SpringerBriefs in Mathematics

This book provides an introduction to nonsmooth constrained optimal control theory over infinite horizon, tackling the mathematical challenges that arise when classical finite-horizon methods prove inadeq…

lieferbar ab 12.2.2026.

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Amitabh Basu
Convexity and its Applications in Discrete and Continuous Optimization

"This rigorous introduction to the fundamental ideas of convexity and their use in optimization offers a unifying approach for both discrete and continuous applications. Students and researchers in o…

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Fabrice Bethuel, Duvan Henao, Angkana Rüland,
Variational and PDE Methods in Nonlinear Science

Scalar and Vectorial Allen-Cahn Equations and their Asymptotics.- 2. Microstructures in the Modelling of Shape-Memory Alloys: Rigidity, Flexibility and Scaling.- 3. Singular Minimizers in Nonlinear Elasti…

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Piernicola Bettiol, Richard B. Vinter
Principles of Dynamic Optimization

Preface.- Overview.- Set Convergence, Measurability, and Existence of Minimizers.- Variational Principles.- Nonsmooth Analysis.- Subdifferential Calculus.- Differential Inclusions.- The Maximum Principle.…

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Daniela Borissova
Decision-Making in Design, Maintenance, Planning, and Investment of Wind Energy

This book demonstrates how decision-making models can be applied to solve specific real-life problems, with a particular emphasis on wind energy. In a step-by-step manner, it guides the reader through dec…

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Steven L. Brunton, J. Nathan Kutz
Data-Driven Science and Engineering

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and engineers for the next generation…

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Baris Burnak, Nikolaos A. Diangelakis, Efstratios N. Pistikopoulos
Integrated Process Design and Operational Optimization via Multi-parametric Programming

Synthesis Lectures on Engineering, Science, and Technology

This book presents a comprehensive optimization based theory and framework that exploits the synergistic interactions and tradeoffs between process design and operational decisions that span different tim…

lieferbar ab 11.6.2026.

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Jeff Calder, Peter J. Olver
Linear Algebra, Data Science, and Machine Learning

This text provides a mathematically rigorous introduction to modern methods of machine learning and data analysis at the advanced undergraduate/beginning graduate level. The book is self-contained and req…

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Antonio Candelieri, Andrea Ponti, Francesco Archetti
Multiple Information Source Bayesian Optimization

The book provides a comprehensive review of multiple information sources and multi-fidelity Bayesian optimization, specifically focusing on the novel "Augmented Gaussian Process" methodology. Th…

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Jein-Shan Chen
Complementarity Functions in Optimization

Springer Optimization and Its Applications - Band 228

Complementarity functions lie at the heart of modern optimization, offering a powerful way to reformulate the Karush-Kuhn-Tucker (KKT) conditions and the original optimization problem into more tractable …

lieferbar ab 26.1.2026.

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Sinho Chewi, Jonathan Niles-Weed, Philippe Rigollet
Statistical Optimal Transport

Optimal Transport.- 2. Estimation of Wasserstein distances.- 3. Estimation of transport maps.- 4. Entropic optimal transport.- 5. Wasserstein gradient flows: theory.-6. Wasserstein gradient flows: applica…

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Gonzalo E. Constante-Flores, Antonio J. Conejo
Optimization via Relaxation and Decomposition

This book offers an up-to-date description of relaxation/approximation and decomposition techniques, demonstrating how their combined use efficiently solves large-scale optimization problems relevant to e…

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