Cost Approximation is a methodological construct in the domain of cost functions that estimates the value of a cost function through simplified or surrogate models when exact computation is infeasible or computationally prohibitive.
57
Publications
3K
Citations
140
Authors
83
Institutions
Publications per year
2017–2026
11
Parents
Publications
57
Does cost optimization approximate the real-world energy transition?
Evelina Trutnevyte · Energy · 2016 · 227 citations
On the problem of the software cost function
José Javier Dolado · Information and Software Technology · 2001 · 186 citations
1–5 of 57
Authors
140
- DPDimitri P. Bertsekas
Massachusetts Institute of Technology, United States
3 publications · 98 citations
3
h-index
- BB
2
h-index
- HY
2
h-index
- DS
2
h-index
- AB
2
h-index
1–5 of 140
Institutions
83
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
8 publications
206 citations
ETH Zurich
Zurich, Switzerland
4 h-index
6 publications
310 citations
Luleå University of Technology
Luleå, Sweden
2 h-index
5 publications
59 citations
Boeing (Australia)
Brisbane, Australia
2 h-index
4 publications
2.1K citations
National Energy Research Scientific Computing Center
Berkeley, United States
2 h-index
2 publications
1K citations
Cornell University
Ithaca, United States
2 h-index
2 publications
49 citations
Lawrence Berkeley National Laboratory
Berkeley, United States
2 h-index
2 publications
1K citations
Williams (United States)
Tulsa, United States
2 h-index
4 publications
2.1K citations
1–8 of 83
Venues
- Computers & Industrial Engineering
2 publications · 44 citations
2
h-index
- Information and Software Technology
2 publications · 206 citations
2
h-index
- Computers & Operations Research
1 publications · 39 citations
1
h-index
- Journal of the Royal Statistical Society Series B (Statistical Methodology)
1 publications · 121 citations
1
h-index
- Applied Mathematics and Computation
1 publications · 36 citations
1
h-index
1–5