scholarly journals Introduction to the JPO special issue: Innovations and real world applications of relationship research in cancer

2019 ◽  
Vol 37 (2) ◽  
pp. 127-130
Author(s):  
Hoda Badr ◽  
Jennifer Barsky Reese
Keyword(s):  
Real World ◽  
Special Issue ◽  
Real World Applications

scholarly journals Editorial – Preface to the Special Issue on Numerical Techniques Meet with OR

2021 ◽  
Vol 46 (1) ◽  
pp. 3-10
Author(s):  
Burcu Gürbüz ◽  
Gerhard-Wilhelm Weber
Keyword(s):  
Real World ◽  
Numerical Algorithms ◽  
Special Issue ◽  
Numerical Techniques ◽  
Research Topics ◽  
Geometrical Structures ◽  
Financial Applications ◽  
Real World Applications ◽  
Research Problems ◽  
Foundations Of Computing

AbstractThis special issue of the Foundations of Computing and Decision Sciences, titled ”Numerical Techniques Meet with OR”, is devoted to the numerical techniques and their applications in real-world phenomena. The special issue and its editorial present numerical algorithms as they meet with different research topics such as, e.g., from operational research, supply chain management, geometrical structures and Covid-19 effects on financial applications. Besides, the special issue covers instructional information about numerical techniques which are useful for OR research problems and real-world applications on such issues.

Editorial — Recent Progress in Intelligent and Evolutionary Algorithms and their Applications

2015 ◽  
Vol 11 (02) ◽  
pp. 115-120
Author(s):  
Aki-Hiro Sato ◽  
Hiroshi Kawakami ◽  
Toshihiro Hiraoka
Keyword(s):  
Evolutionary Algorithms ◽  
Real World ◽  
Recent Progress ◽  
Optimization Problems ◽  
Asia Pacific ◽  
Topical Issue ◽  
Special Issue ◽  
Mathematical Methods ◽  
Evolutionary Systems ◽  
Real World Applications

This is a topical issue on the 16th Asia–Pacific Symposium on Intelligent and Evolutionary Systems (IES) which was held in Kyoto from December 12–14, 2012. This special issue contains six articles related to evolutionary algorithms that are designed to solve optimization problems, network concepts, mathematical methods and their real world applications.

Guest Editorial of the Special Issue on Whole-Body Control for Robots in the Real World

2016 ◽  
Vol 13 (01) ◽  
pp. 1602001
Author(s):  
Federico L. Moro ◽  
Michael Gienger ◽  
Ambarish Goswami ◽  
Oussama Khatib ◽  
Eiichi Yoshida
Keyword(s):  
Real World ◽  
Guest Editorial ◽  
State Of The Art ◽  
Humanoid Robots ◽  
Theoretical Research ◽  
Whole Body ◽  
Research Projects ◽  
Special Issue ◽  
Real World Applications ◽  
New Research

Research in whole-body control (WBC) aims to contribute to provide robots with those capabilities that are necessary to move and perform in real world scenarios. Until recent years, limitations on hardware relegated WBC to almost purely theoretical research. Recently, a growing number of experimental platforms have become available (in particular, torque-controlled humanoids). This new opportunity has triggered the deployment on real robots of the theoretical outcomes of research in the field. This is backed up by a number of new research projects and initiatives addressing issues in this domain, including the Darpa robotic challenge (DRC). The goal of this special issue is to provide a clear representation of what is the state-of-the-art in WBC, and to help identifying what steps still need to be taken to have humanoid robots moving out of research laboratories to real world applications.

scholarly journals Differential Models, Numerical Simulations and Applications

Axioms ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 260
Author(s):  
Gabriella Bretti
Keyword(s):  
Applied Sciences ◽  
Numerical Methods ◽  
Computer Simulations ◽  
Analytical Solutions ◽  
Real World ◽  
Measured Data ◽  
Model Parameters ◽  
Special Issue ◽  
Efficient Simulation ◽  
Real World Applications

Differential models, numerical methods and computer simulations play a fundamental role in applied sciences. Since most of the differential models inspired by real world applications have no analytical solutions, the development of numerical methods and efficient simulation algorithms play a key role in the computation of the solutions to many relevant problems. Moreover, since the model parameters in mathematical models have interesting scientific interpretations and their values are often unknown, estimation techniques need to be developed for parameter identification against the measured data of observed phenomena. In this respect, this Special Issue collects some important developments in different areas of application.

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