2023
DOI: 10.1007/978-3-031-27034-5_19
|View full text |Cite
|
Sign up to set email alerts
|

Numerical Optimization Identification of a Keller-Segel Model for Thermoregulation in Honey Bee Colonies in Winter

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
8
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(8 citation statements)
references
References 24 publications
0
8
0
Order By: Relevance
“…In the recent decades, many real phenomena and processes were studied by inverse problems due to their strong mathematical formulation and theoretical study as well as efficient numerical treatment [11,13,14,15,16,21,24]. In the present paper we continue our research on inverse problems modelling the honeybee population dynamics [5,6,7].…”
Section: Inverse Problemsmentioning
confidence: 84%
See 4 more Smart Citations
“…In the recent decades, many real phenomena and processes were studied by inverse problems due to their strong mathematical formulation and theoretical study as well as efficient numerical treatment [11,13,14,15,16,21,24]. In the present paper we continue our research on inverse problems modelling the honeybee population dynamics [5,6,7].…”
Section: Inverse Problemsmentioning
confidence: 84%
“…On the second day, we substitute the initial values u(0, x, y) = u 0 (x, y) and c(0, x, y) = c 0 (x, y) with u(1, x, y) = u 1 (x, y) and c(1, x, y) = c 1 (x, y), and then proceed to solve ( 5), ( 6) using this revised initial condition on the time interval t ∈ [1,2]. The identical procedure, employing equations such as (7) for the second day, extends to time intervals [2,3], [3,4].…”
Section: Model With Pesticide Contaminationmentioning
confidence: 99%
See 3 more Smart Citations