Concepedia

Concept

conic optimization

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3K

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204.7K

Citations

4.6K

Authors

1.5K

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About

Conic optimization is a subfield of convex optimization that studies the theory and algorithms for solving optimization problems defined by minimizing a convex function over the intersection of an affine subspace and a convex cone. This framework provides a general structure that unifies various important classes of convex problems, including linear, second-order cone, and semidefinite programming, serving as a powerful methodology for modeling and solving problems across diverse application domains.

Top Authors

Rankings shown are based on concept H-Index.

SB

Stanford University

DS

National University of Singapore

RD

Georgia Institute of Technology

ZL

University of Minnesota

LV

University of California, Los Angeles

Top Institutions

Rankings shown are based on concept H-Index.

Stanford University

Stanford, United States