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Arthur David Snider
Basics of Optimization Theory

This book presents a short introduction to the main tools of optimization methodology including linear programming, steepest descent, conjugate gradients, and the Karush-Kuhn-Tucker-John conditions. Each …

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Mathematical Optimization Theory and Operations Research

This book constitutes the refereed proceedings of the 23rd International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2024, held in Omsk, Russia, during June 30 - July 6, …

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Mathematical Optimization Theory and Operations Research: Recent Trends

This book constitutes the revised selected papers from the 23rd International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2024, held in Omsk, Russia from June 30 to July …

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Exploring Mathematical Analysis, Approximation Theory, and Optimization

This book compiles research and surveys devoted to the areas of mathematical analysis, approximation theory, and optimization. Being dedicated to A.-M. Legendre's work, contributions to this volume are de…

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Prashad
Optimization Algorithms for Machine Learning: Theory and Practice

In the realm of machine learning, optimization algorithms play a pivotal role in refining models for optimal performance. These algorithms, ranging from classic gradient descent to advanced techniques lik…

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Kinky
Exploring Optimization Algorithms in Machine Learning: From Theory to Practice

Optimization algorithms in machine learning bridge theoretical foundations with practical applications, crucial for refining model performance. Techniques like gradient descent, stochastic gradient descen…

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Stefano Bottacchi
Coherent Optical LiDAR

This book provides an insight into the coherent optical LiDAR system, starting from the fundamental operation of the polarization diversity coherent optical transceiver, widely used in field deployed Tera…

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Stephan Russenschuck
Field Simulation for Accelerator Magnets

A comprehensive reference to the theory and practice of accelerator-magnet design and measurementParticle accelerators have many fundamental and applied research applications in physics, materials science…

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2 Bücher

Daniel P Palomar
Portfolio Optimization

This comprehensive guide to the world of financial data modeling and portfolio design is a must-read for anyone looking to understand and apply portfolio optimization in a practical context. It bridges th…

lieferbar ab 12.6.2025.

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Andrzej Ruszczy¿ski, Darinka Dentcheva
Risk-Averse Optimization and Control

This book offers a comprehensive presentation of the theory and methods of risk-averse optimization and control. Problems of this type arise in finance, energy production and distribution, supply chain ma…

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Fuzzy Optimization, Decision-making and Operations Research

After developing fuzzy set theory, many contributors focused their research on the extension of fuzzy sets and their computational methodologies, strengthening modern science and technology. In some real-…

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Marek Galewski
Basics of Nonlinear Optimization

This textbook gives an introduction to optimization tools which arise around the Weierstrass theorem about the minimum of a lower semicontinuous function. Starting from a Euclidean space, it moves further…

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Optimization Under Uncertainty in Sustainable Agriculture and Agrifood Industry

This book explores optimization under uncertainty and related applications in agriculture, sustainable supply chains and the agrifood industry. Rapid changes in the primary sector are leading to more and …

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Kenneth Lange
Applied Probability

Applied Probabilitypresents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. Chapter 1 review…

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Dongying Yang, Qing He, Sirong Yi, Honghui Wang
Alignment Optimization in Rail Transit

This book deals with alignment optimization models for planning rail transit. After a general introduction to the basics of alignment optimization theory, it presents different alignment optimization meth…

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Alexander J. Zaslavski
Approximate Fixed Points of Nonexpansive Mappings

Fixed point theory of nonlinear operators has been a rapidly growing area of research and plays an important role in the study of variational inequalities, monotone operators, feasibility problems, and op…

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Optimization, Simulation and Control

This volume gathers selected, peer-reviewed works presented at the 7th International Conference on Optimization, Simulation and Control, ICOSC 2022, held at the National University of Mongolia, Ulaanbaata…

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Arkadi Nemirovski, Fatma Kilinc-Karzan
Essential Mathematics for Convex Optimization

This textbook offers a mathematically rigorous introduction to convex optimization, blending classical theory with modern topics. Its elementary treatment based on linear algebra, calculus, and real analy…

lieferbar ab 30.6.2025.

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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 ab 7.10.2025.

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Giulio Bottazzi
Advanced Calculus for Economics and Finance

This textbook provides a comprehensive introduction to mathematical calculus. Written for advanced undergraduate and graduate students, it teaches the fundamental mathematical concepts, methods and tools …

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