Thema Optimierung – alle Bücher, Seite 2

Giulio Ferro, Riccardo Minciardi, Luca Parodi, Michela Robba
Optimization of Electric-Vehicle Charging

This book provides models and methods for the optimal management of electrical vehicles through an interdisciplinary approach that brings together knowledge from the sectors of transportation, manufacturi…

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Noah Giansiracusa
Robin Hood Maths

Big companies are using maths to take from the poor and give to the rich. Maths professor Noah Giansiracusa shows how you can beat the system using simple hacks anyone can learn. 'See what the algorithms …

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Jose Maria Giron-Sierra
Introduction to Optimization with Matlab® Examples

The textbook provides a comprehensive yet practical look at optimization theory and applications, with examples and MATLAB programs. The author introduces concepts and methods with mathematical formulatio…

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Alan Gluchoff
From Frechet Differentials to Firing Tables

This monograph explores the history of the contribution to ballistics by the American mathematician Gilbert Ames Bliss during World War I. Drawing on the then-evolving calculus of variations, Bliss pionee…

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Wojciech Górny, José M. Mazón
Functions of Least Gradient

Monographs in Mathematics - Band 110

This book is devoted to the least gradient problem and its variants. The least gradient problem concerns minimization of the total variation of a function with prescribed values on the boundary of a Lipsc…

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Nathan Grieve
An Introduction to Mathematical Programming and Network Science

Springer Undergraduate Texts in Mathematics and Technology

This text provides a practical, hands-on introduction to the fundamental concepts of mathematical programming and network science. Particular emphasis is placed on linear programming, mathematical modelli…

lieferbar in mind. 4 Wochen

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Xiucui Guan, Panos M. Pardalos, Binwu Zhang
Inverse Combinatorial Optimization Problems

Springer Optimization and Its Applications - Band 225

This book offers as exploration into the emerging field of Inverse Combinatorial Optimization Problems (ICOPs), a transformative area within operations research. As traditional optimization focuses on max…

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

Princeton Series in Applied Mathematics

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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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 …

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Diederich Hinrichsen, Anthony J. Pritchard, Fritz Colonius, Tobias Damm
Mathematical Systems Theory II

This is the second volume of a three-volume treatise which presents the mathematical foundations of systems and control theory in a self-contained, comprehensive, detailed and mathematically rigorous way.…

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Milan Hladík
Interval Linear Programming and Extensions

Springer Optimization and Its Applications - Band 208

This book delves into the intricate world of interval programming, offering a comprehensive exploration of mathematical programming problems characterized by interval data. Interval data, often arising fr…

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Sören Jalas
Machine Learning Based Optimization of Laser-Plasma Accelerators

Springer Theses

This book explores the application of machine learning-based methods, particularly Bayesian optimization, within the realm of laser-plasma accelerators. The book involves the implementation of Bayesian op…

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Isah A. Jimoh
Robust Model Predictive Control for Autonomous Underwater Vehicles

Advances in Industrial Control

This book offers a comprehensive and practical guide to the design of advanced model predictive control (MPC) strategies for the three-dimensional motion control of autonomous underwater vehicles (AUVs). …

lieferbar ab 22.6.2026.

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Shyam Kamal, Parijat Prasun
A Minimum Function-Based Discrete Sliding Mode Control: Theory and Applications

This monograph is driven by the ambition to thoroughly investigate and advance the field of discrete-time sliding mode design based on difference equations with minima for dynamical systems. The motivatio…

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Jeffrey M. Keisler
Prescriptive Analytics

Springer Texts in Business and Economics

This book combines the quantitative decision-informing techniques of management science and operations research with the data-centric techniques found throughout the world of analytics. The material uses …

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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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Wuchen Li, Bernhard Schmitzer, Gabriele Steidl, François-Xavier Vialard
Variational and Information Flows in Machine Learning and Optimal Transport

Oberwolfach Seminars - Band 56

This book is based on lectures given at the Mathematisches Forschungsinstitut Oberwolfach on "Computational Variational Flows in Machine Learning and Optimal Transport".Variational and stochasti…

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Zrinka Luka¿
Economic Analysis Through Mathematics

This textbook introduces readers to the mathematical topics fundamental for the study of economics through a combination of formal definitions, theorems, and proofs, including intuitive and easy-to-follow…

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Ali Mahmoodirad, Harish Garg, Sadegh Niroomand
Recent Advances on Fuzzy Sets

Studies in Fuzziness and Soft Computing - Band 440

This book offers a comprehensive review of the different types of fuzzy sets that have been developed in the last few years. Each chapter is dedicated to a type of fuzzy set, which is at first introduced …

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Kurt Marti
Stochastic Optimization Methods

This book examines optimization problems that in practice involve random model parameters. It outlines the computation of robust optimal solutions, i.e., optimal solutions that are insensitive to random p…

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