Scheduling

Theory, Algorithms, and Systems

Michael L. Pinedo

Mathematics and Statistics (R0)

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Idioma:English
ISBN:9783319265803
Fecha de lanzamiento:1 mar 2017
Editorial:Springer International Publishing

Edición:Springer
Formato de archivo:EPUB2
Tamaño de archivo:6.78 MB
Opciones de descarga:EPUB2 (Adobe DRM)

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Scheduling

Michael L. Pinedo

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Scheduling

¿Por qué leer con nosotros?

Sinopsis

Acerca de este libro

Detalles del libro

Cómo leer

En esta serie

Scheduling

Lecturas relacionadas

Data Mining: Concepts and Techniques

Business Process Management

Enterprise Architecture at Work

Network and Discrete Location

Software Testing and Quality Assurance

The Logic of Logistics

Flexibility and Robustness in Scheduling

Fundamentals of Predictive Text Mining

Big Data Analysis: New Algorithms for a New Society

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Applied Integer Programming

Web Services Foundations

Fundamentals of Predictive Text Mining

State of the Art Applications of Social Network Analysis

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Recommender Systems

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Business Intelligence and Performance Management

Applications of Combinatorial Optimization

Relating Software Requirements and Architectures

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Trends in Social Network Analysis

Applications of Combinatorial Optimization, Volume 3

Multiagent Scheduling

Data Science and Big Data: An Environment of Computational Intelligence

Risks and Security of Internet and Systems

Data Mining and Constraint Programming

Trusted Systems

Principles and Practice of Constraint Programming

Decomposition Methods for Complex Factory Scheduling Problems

Data Mining for Service

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Link Mining: Models, Algorithms, and Applications

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Transdisciplinary Perspectives on Complex Systems

Hardware and Software: Verification and Testing

BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems

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Handbook of Ocean Container Transport Logistics

Dynamic Networks And Cyber-security

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Techniques for Building Timing-Predictable Embedded Systems

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Production and Efficiency Analysis with R

Business Process Management Workshops

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Math for the Digital Factory

Dynamic Optimization

Database Systems for Advanced Applications

Big Data Analytics and Knowledge Discovery

Robust Control Design with MATLAB®

Database Systems for Advanced Applications

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Non-parametric Tuning of PID Controllers

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Advances in Knowledge Discovery and Data Mining

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