Emil Gustavsson

Timlärare at Mathematical Sciences

Showing 20 publications

2020

Modeling industrial engineering change processes using the design structure matrix for sequence analysis: a comparison of multiple projects

Ívar Örn Arnarsson, Emil Gustavsson, Mats Jirstrand et al
DESIGN SCIENCE. Vol. 6
Journal article
2019

Supporting Knowledge Re-Use with Effective Searches of Related Engineering Documents - A Comparison of Search Engine and Natural Language-Based Processing Algorithms

Ívar Örn Arnarsson, Otto Frost, Emil Gustavsson et al
Proceedings of the International Conference on Engineering Design, ICED. Vol. 1 (1), p. 2597-2606
Paper in proceedings
2019

Reinforcement Learning Informed by Optimal Control

Magnus Önnheim, Pontus Andersson, Emil Gustavsson et al
Lecture Notes in Computer Science. Vol. 11731, p. 403-407
Paper in proceedings
2018

Reinforcement learning in real-time geometry assurance

Emilio Jorge, Lucas Brynte, Constantin Cronrath et al
Procedia CIRP. Vol. 72, p. 1073-1078
Paper in proceedings
2017

Ergodic, primal convergence in dual subgradient schemes for convex programming, II: the case of inconsistent primal problems

Magnus Önnheim, Emil Gustavsson, Ann-Brith Strömberg et al
Mathematical Programming, Series A. Vol. 163 (1-2), p. 57-84
Journal article
2017

Functional Federated Learning in Erlang

Gregor Ulm, Emil Gustavsson, Mats Jirstrand
Proceedings of the 5th Swedish Workshop on Data Science (SweDS 2017)
Conference poster
2017

Purely Functional Federated Learning in Erlang

Gregor Ulm, Emil Gustavsson, Mats Jirstrand
Proceedings of the 29th Symposium on Implementation and Application of Functional Languages (IFL 2017), p. 160-167
Paper in proceedings
2017

Design Analytics is the Answer, But What Questions Would Product Developers Like to Have Answered?

Ívar Örn Arnarsson, Emil Gustavsson, Johan Malmqvist et al
21st International Conference on Engineering Design, ICED 2017, Vancouver, Canada, 21-25 August 2017. Vol. 7 (DS87-7), p. 71-80
Paper in proceedings
2016

Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence.

Emilio Jorge, Mikael Kågebäck, Emil Gustavsson
Preprint
2016

An Introduction to Continuous Optimization, 3rd edition

Niclas Andréasson, Anton Evgrafov, Michael Patriksson et al
Book
2016

Towards Big-Data Analysis of Deviation and Error Reports in Product Development Projects

Ívar Örn Arnarsson, Johan Malmqvist, Emil Gustavsson et al
Proceedings of NordDesign 2016, Trondheim, Norway, p. 83-92
Paper in proceedings
2015

Topics in convex and mixed binary linear optimization

Emil Gustavsson
Doctoral thesis
2015

Primal convergence from dual subgradient methods for convex optimization

Emil Gustavsson, Michael Patriksson, Ann-Brith Strömberg
Mathematical Programming, Series B. Vol. 150 (2), p. 365-390
Journal article
2015

Scheduling tamping operations on railway tracks using mixed integer linear programming

Emil Gustavsson
EURO Journal on Transportation and Logistics. Vol. 4 (1), p. 97-112
Journal article
2014

Preventive maintenance scheduling of multi-component systems with interval costs

Emil Gustavsson, Michael Patriksson, Ann-Brith Strömberg et al
Computers and Industrial Engineering. Vol. 76, p. 390-400
Journal article
2013

Introduction to Continuous Optimization

Michael Patriksson, Niclas Andréasson, Anton Evgrafov et al
Book
2012

Preventive maintenance scheduling of multi-component systems with deterioration costs

Emil Gustavsson, Michael Patriksson, Ann-Brith Strömberg et al
Preprint
2012

The preventive maintenance scheduling problem with interval costs

Emil Gustavsson, Michael Patriksson, Ann-Brith Strömberg et al
Preprint
2012

Primal convergence from dual subgradient methods for convex optimization

Emil Gustavsson, Michael Patriksson, Ann-Brith Strömberg
Preprint

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Showing 2 research projects

2011–2014

Development of mathematical models and methods for optimal condition based maintenance, especially within energy production and energy-intensive industry

Michael Patriksson Applied Mathematics and Statistics
Ann-Brith Strömberg Applied Mathematics and Statistics
Emil Gustavsson Mathematics
Swedish Energy Agency

1998–2020

Nonsmooth convex optimization—theory and solution methodology

Ann-Brith Strömberg Applied Mathematics and Statistics
Emil Gustavsson Mathematics
Michael Patriksson Applied Mathematics and Statistics
Magnus Önnheim Algebra and geometry
Chalmers

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