Napsu Karmitsa


Adjunct Professor, Applied Mathematics (Department of Mathematics and Statistics)
Academy Research Fellow, Applied Mathematics (Department of Mathematics and Statistics)

napsu.karmitsa@utu.fi
+358 29 450 4313
+358 50 327 5100

Vesilinnantie 5
Turku





Publications
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Clustering in large data sets with the limited memory bundle method (2018)
Pattern Recognition
Napsu Karmitsa, Adil M. Bagirov, Sona Taheri
(
A1 Journal article – refereed)

Double Bundle Method for finding Clarke Stationary Points in Nonsmooth DC Programming (2018)
SIAM Journal on Optimization
Joki K, Bagirov AM, Karmitsa N, Makela MM, Taheri S
(
A1 Journal article – refereed)

Multiple subgradient descent bundle method for convex nonsmooth multiobjective optimization (2018)
Optimization
Outi Montonen, Napsu Karmitsa, Marko M. Mäkelä
(
A1 Journal article – refereed)

On generalized pseudo- and quasiconvexities for nonsmooth functions (2018) Current Research in Nonlinear Analysis. Springer Optimization and Its Applications Ville-Pekka Eronen, Marko M. Mäkelä, Napsu Karmitsa
(
A3 Book chapter)

A proximal bundle method for nonsmooth DC optimization utilizing nonconvex cutting planes (2017)
Journal of Global Optimization
Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä
(
A1 Journal article – refereed)

Diagonal Bundle Method with Convex and Concave Updates for Large-Scale Nonconvex and Nonsmooth Optimization (2017)
Optimization Methods and Software
Karmitsa N., Gaudioso M., Joki K.
(
A1 Journal article – refereed)

Double Bundle Method for Nonsmooth DC Optimization (2017)
TUCS Publication Series
Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri
(
D4 Published development or research report or study)

Method for solving generalized convex nonsmooth mixed-integer nonlinear programming problems (2017)
Journal of Global Optimization
Eronen VP, Kronqvist J, Westerlund T, Mäkelä MM, Karmitsa N
(
A1 Journal article – refereed)

New bundle method for clusterwise linear regression utilizing support vector machines (2017)
TUCS Publication Series
Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri
(
D4 Published development or research report or study)

New diagonal bundle method for clustering problems in large data sets (2017)
European Journal of Operational Research
Karmitsa N, Bagirov AM, Taheri S
(
A1 Journal article – refereed)

Splitting Metrics Diagonal Bundle Method for Large-Scale Nonconvex and Nonsmooth Optimization (2017) Napsu Karmitsa, Manlio Gaudioso, Kaisa Joki
(
D4 Published development or research report or study)

Diagonal discrete gradient bundle method for derivative free nonsmooth optimization (2016)
Optimization
Karmitsa N
(
A1 Journal article – refereed)

Numerical Methods for Large-Scale Nonsmooth Optimization (2016) BIG DATA OPTIMIZATION: RECENT DEVELOPMENTS AND CHALLENGES Karmitsa Napsu
(
A3 Book chapter)

Proximal Bundle Method for Nonsmooth and Nonconvex Multiobjective Optimization (2016) Mathematical Modeling and Optimization of Complex Structures Makela MM, Karmitsa N, Wilppu O
(
B2 Book chapter)

Testing Different Nonsmooth Formulations of the Lennard-Jones Potential in Atomic Clustering Problems (2016)
Journal of Optimization Theory and Applications
Karmitsa N
(
A1 Journal article – refereed)

Diagonal Bundle Method for Nonsmooth Sparse Optimization (2015)
Journal of Optimization Theory and Applications
Napsu Karmitsa
(
A1 Journal article – refereed)

New Proximal Bundle Method for Nonsmooth DC Optimization (2015)
TUCS Publication Series
Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä
(
B1 Journal article)

A generative model and a generalized trust region Newton method for noise reduction (2014)
Computational Optimization and Applications
Pulkkinen S, Mäkelä MM, Karmitsa N
(
A1 Journal article – refereed)

Diagonal Bundle Method for Nonsmooth Sparse Optimization (2014)
TUCS Publication Series
Napsu Karmitsa
(
B1 Journal article)


Last updated on 2019-15-06 at 02:21