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Anisogamy, expenditure of reproductive effort, and the optimality of having two sexes

Author
EPELMAN, Marina A1 ; POLLOCK, Stephen1 ; NETTER, Brian2 ; LOW, Bobbi S3
[1] Department of Industrial and Operations Engineering, University of Michigan, 1205 Beal Avenue, Ann Arbor, Michigan 48109, United States
[2] Yale Law School, Box 208215, New Haven, Connecticut 06520, United States
[3] School of Natural Resources and Environment, University of Michigan, Ann Arbor, Michigan 48109, United States
Source

Operations research. 2005, Vol 53, Num 3, pp 560-567, 8 p ; ref : 23 ref

CODEN
OPREAI
ISSN
0030-364X
Scientific domain
Control theory, operational research
Publisher
Institute for Operations Research and the Management Sciences, Linthicum, MD
Publication country
United States
Document type
Article
Language
English
Author keyword
mathematics: convexity modeling: applications in biology/sexual reproduction programming: nonlinear/quadratic
Keyword (fr)
Gamète Modèle mathématique Principe optimalité Programmation non linéaire Programmation quadratique Reproduction sexuée Anosogamy
Keyword (en)
Gamete Mathematical model Optimality principle Non linear programming Quadratic programming Sexual reproduction
Keyword (es)
Gameto Modelo matemático Principio optimalidad Programación no lineal Programación cuadrática Reproducción sexuada
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D01 Operational research. Management science / 001D01A Operational research and scientific management / 001D01A03 Mathematical programming

Discipline
Operational research. Management
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16924823

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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