The use of interactive computing for vehicle routeing

2005 ◽  
pp. 22-32 ◽  
Author(s):  
João José B. Bechara ◽  
Roberto D. Galvão
Keyword(s):  
Vehicle Routeing ◽  
Interactive Computing

Interactive computing in a numerical analysis course

1975 ◽  
Vol 9 (4) ◽  
pp. 27-32
Author(s):  
James E. McKenna
Keyword(s):  
Numerical Analysis ◽  
Interactive Computing

On a Principle of Chain-Exchange for Vehicle-Routeing Problems (1-VRP)

1990 ◽  
Vol 41 (9) ◽  
pp. 821 ◽  
Author(s):  
R. Fahrion ◽  
M. Wrede
Keyword(s):  
Vehicle Routeing

scholarly journals Leisure Studies on Program Output With Delay Relaxation.

2021 ◽  
Author(s):  
Frank Appiah
Keyword(s):  
Delay Time ◽  
Leisure Time ◽  
Program Execution ◽  
Leisure Studies ◽  
File Management ◽  
System Calls ◽  
Interactive Computing ◽  
Computing Environments ◽  
Program Output

Interactive computing environments consisting of screen and keyboard provides a means to relax and enjoy the program output. Leisurely, ways to slow and relax program execution is delved with system calls like delay execution, synthesis execution and file management execution. The leisure time can be the exact delay time used in slowly the chances of output activity.

scholarly journals Jupyter: Thinking and Storytelling with Code and Data

2021 ◽  
Author(s):  
Brian Granger ◽  
Fernando Pérez
Keyword(s):  
Machine Learning ◽  
Open Source ◽  
Community Of Practice ◽  
Scientific Computing ◽  
Data Science ◽  
Climate Science ◽  
Three Dimensions ◽  
Open Source Project ◽  
Interactive Computing ◽  
The Impact

Project Jupyter is an open-source project for interactive computing widely used in data science, machine learning, and scientific computing. We argue that even though Jupyter helps users perform complex, technical work, Jupyter itself solves problems that are fundamentally human in nature. Namely, Jupyter helps humans to think and tell stories with code and data. We illustrate this by describing three dimensions of Jupyter: interactive computing, computational narratives, and  the idea that Jupyter is more than software. We illustrate the impact of these dimensions on a community of practice in Earth and climate science.

scholarly journals An overview of two open interactive computing environments useful for data science education

JAMIA Open ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. 159-165
Author(s):  
Robert Hoyt ◽  
Victoria Wangia-Anderson
Keyword(s):  
Science Education ◽  
Programming Languages ◽  
Data Science ◽  
Predictive Analytics ◽  
Data Exploration ◽  
Online Data ◽  
Education Benefits ◽  
Interactive Computing ◽  
Data Analyses ◽  
Computing Environments

Abstract Objective To discuss and illustrate the utility of two open collaborative data science platforms, and how they would benefit data science and informatics education. Methods and Materials The features of two online data science platforms are outlined. Both are useful for new data projects and both are integrated with common programming languages used for data analysis. One platform focuses more on data exploration and the other focuses on containerizing, visualization, and sharing code repositories. Results Both data science platforms are open, free, and allow for collaboration. Both are capable of visual, descriptive, and predictive analytics Discussion Data science education benefits by having affordable open and collaborative platforms to conduct a variety of data analyses. Conclusion Open collaborative data science platforms are particularly useful for teaching data science skills to clinical and nonclinical informatics students. Commercial data science platforms exist but are cost-prohibitive and generally limited to specific programming languages.

Interactive Computing

1973 ◽  
pp. 279-280
Author(s):  
W. J. Perkins
Keyword(s):  
Interactive Computing

Further Inprovements to Vehicle Routeing Heuristics

1992 ◽  
Vol 43 (10) ◽  
pp. 1009-1012 ◽  
Author(s):  
Barrie M. Baker
Keyword(s):  
Vehicle Routeing
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