Models and Algorithms for Global Optimization
The research of Antanas Žilinskas has focused on developing models for global optimization, implementing and investigating ...
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Models and Methods for Management Science / Hao Zhang
Introduces systems science as an entry point to present a basic introduction to research models and methods in management ...
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Models of Mechanics
This is a textbook on models and modeling in mechanics. It introduces a new unifying approach to applied mechanics: through ...
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Modern Control Theory
This book presents a unified, systematic description of basic and advanced problems, methods and algorithms of the modern ...
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Modern Deep Learning Design and Application Development : Versatile Tools to Solve Deep Learning Problems / Andre Ye
Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation ...
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Modern Deep Learning for Tabular Data: Novel Approaches to Common Modeling Problems / Andre Ye, Zian Wang
Synthesizes and presents novel deep learning approaches to a seemingly unlikely domain - tabular data. Whether for finance, ...
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Modern Developments in X-Ray and Neutron Optics
This volume describes modern developments in reflective, refractive and diffractive optics for short wavelength radiation ...
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Modern Formal Methods and Applications
Formal methods are a robust approach for problem solving. It is based on logic and algebraic methods where problems can be ...
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Modern Methods in the Calculus of Variations
This is the first of two books on methods and techniques in the calculus of variations. Contemporary arguments are used throughout ...
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Modern Portfolio Optimization with NuOPT™, S-PLUS®, and S+Bayes™
This book fills the gap between current university instruction and current industry practice by providing a comprehensive ...
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Modular Programming Languages
On behalf of the Steering Committee we are pleased to present the proceedings of the 2006 Joint Modular Languages Conference ...
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Modèles aléatoires
The aim is to show how random models are used to analyse and solve a great variety of engineering issues. It is written in ...
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Modèles aléatoires
The aim is to show how random models are used to analyse and solve a great variety of engineering issues. It is written in ...
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Monte Carlo Methods in Fuzzy Optimization
This book is a concise and readable introduction to Monte Carlo methods to find good approximate solutions to fuzzy optimization ...
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Motion Planning in Medicine: Optimization and Simulation Algorithms for Image-Guided Procedures
The monograph written by Ron Alterovitz and Ken Goldberg combines ideas from robotics, physically-based modeling, and operations ...
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Multi-Carrier Spread-Spectrum
Aims to edit the ensemble of the contributions and research results in this field that have been presented during the 5th ...
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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
The present volume provides a collection of seven articles containing new and high quality research results demonstrating ...
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Multi-Objective Machine Learning
This monograph presents a selected collection of research work on multi-objective approach to machine learning, including ...
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Multi-objective Management in Freight Logistics : Increasing Capacity, Service Level and Safety with Optimization Algorithms
Multi-objective Management in Freight Logistics provides decision makers with new methods and tools to implement multi-objective ...
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Multiagent based Supply Chain Management
The authors takes a close look at what has been done recently in the field of supply chain management using agent technology ...
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