Seemingly Counter-Intuitive Features of Good-to-Great Companies Actually Make Perfect Sense: Possible Algorithmics-Based Explanations-Reference-Cited by-同舟云学术

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Seemingly Counter-Intuitive Features of Good-to-Great Companies Actually Make Perfect Sense: Possible Algorithmics-Based Explanations

Published:2022-10-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 11th International Conference on Intelligent Systems (IS)
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Author:

Zapata Francisco¹,Smith Eric¹,Kosheleva Olga²,Kreinovich Vladik³

Affiliation:

1. University of Texas at El Paso,Department of Industrial, Manufacturing, and Systems Engineering,El Paso,Texas,USA,79968

2. University of Texas at El Paso,Department of Teacher Education,El Paso,Texas,USA,79968

3. University of Texas at El Paso,Department of Computer Science,El Paso,Texas,USA,79968

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10019601/10019606/10019719.pdf?arnumber=10019719

Reference21 articles.

1. Computational complexity of optimization and nonlinear equations with interval data;kreinovich;Abstracts of the Sixteenth Symposium on Mathematical Programming with Data Perturbation,1994

2. From Intervals to? Towards a General Description of Validated Uncertainty;kreinovich;Technical Report,2004

3. Extracting computable bounds (and algorithms) from classical existence proofs: girard domains enable us to go beyond local compactness;kreinovich;International Journal of Intelligent Technologies and Applied Statistics (IJITAS),2019

4. Computational Complexity and Feasibility of Data Processing and Interval Computations

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