Models and Algorithms for Global Optimization
The research of Antanas Žilinskas has focused on developing models for global optimization, implementing and investigating ...
Lee mas
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 ...
Lee mas
Models of Mechanics
This is a textbook on models and modeling in mechanics. It introduces a new unifying approach to applied mechanics: through ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
