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Multiparametric Optimization and Control

Recent developments in multi-parametric optimization and control Multi-Parametric Optimization and Control provides comprehensive;

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Multi-Parametric Programming

This first book to cover all aspects of multi-parametric programming and its applications in process systems engineering includes;

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Modelling Optimization and Control of Biomedical Systems

Shows the newest developments in the field of multi-parametric model predictive control and optimization and their application for drug;

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Uncertainty-aware Integration of Control with Process Operations and Multi-parametric Programming Under Global Uncertainty

book presents a theoretically proven optimal solution to multi-parametric linear and mixed-integer linear programs and efficient solutions to;

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Parametric Modeling with Creo Parametric 6.0

creating multi-view drawings. This text takes a hands-on, exercise-intensive approach to all the important Parametric Modeling techniques and;

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Parametric Modeling with Autodesk Inventor 2018

Parametric Modeling with Autodesk Inventor 2018 contains a series of seventeen tutorial style lessons designed to introduce Autodesk;

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Programming Multi-Agent Systems

This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Workshop on Programming Multi-Agents;

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Parametric Modeling with Creo Parametric 5.0

models and creating multi-view drawings. This text takes a hands-on, exercise-intensive approach to all the important Parametric Modeling;

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Programming Multicore and Many-core Computing Systems

Programming multi-core and many-core computing systems Sabri Pllana, Linnaeus University, Sweden Fatos Xhafa, Technical University;

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Mathematics for Computer Graphics and Game Programming

include two-dimensional and three-dimensional transformations, parametric representation of planar curves and parametric representation of space;

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Pro .Net 4.0 Parallel Programming In C#

robust, scalable and reliable multi-threaded applications. The Parallel programming features of .NET 4 allow the programmer to create;

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Operations Research

optimization techniques such as linear and non-linear programming, dynamic programming, goal programming, parametric programming, integer programming;

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MR Imaging of the Prostate, An Issue of Radiologic Clinics of North America

: Prostate cancer diagnosis and management: A urologist's perspective; MRI of prostate zonal anatomy; Technique of Multi-parametric MRI of the;

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Mathematical Programming for Operations Researchers and Computer Scientists

This book covers the fundamentals of linear programming, extension of linear programming to discrete optimization methods, multi-objective;

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Linear Programming with MATLAB

analysis, and parametric linear programming. In later chapters, the authors discuss quadratic programming, linear complementarity, interior-point;

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Linear Programming: Methods and Applications

, degeneracy procedures, parametric linear programming and sensitivity analysis, and additional computational techniques. The treatment of applications;

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Programming Multi-Agent-Systems

This book constitutes the thoroughly refereed postproceedings of the 4th International Workshop on Programming Multi-Agent Systems, ProMAS;

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Programming Multi-Agent Systems in AgentSpeak using Jason

in Java(t). It enables users to build complex multi-agent systems that are capable of operating in environments previously considered too;

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Learn R for Applied Statistics

statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions. Learn R for Applied;

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Parametric Modeling with SOLIDWORKS 2018

Parametric Modeling with SOLIDWORKS 2018 contains a series of seventeen tutorial style lessons designed to introduce;

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Multi-Agent Programming

Multi-Agent Systems are a promising technology to develop the next generation open distributed complex software systems. The main focus;

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Programming Multi-Agent Systems

This book constitutes the proceedings of the 8th International Workshop on Programming Multi-Agent Systems held in Toronto, Canada, in May;

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Advancing Parametric Optimization

uncertain data in an optimization problem is replaced with parameters, one obtains a multi-parametric optimization problem whose optimal solution;

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Multi-Parametric Concrete Compositions Design

theoretical concepts in the multi-parametric design of cement concrete compositions. A complex of design dependencies is proposed for predicting;

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Foundations of Bilevel Programming

problem) are defined in part by a second parametric optimization problem (the lower level problem). If the lower level problem has a unique;

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