Applied Mathematics (TIMA)

Applied mathematics is used to study advanced methods for modeling in technology as well as natural and social sciences. The Division of Applied Mathematics (TIMA) conducts research in computational mathematics, mathematical statistics and optimization.

Subject areas at the Division of Applied Mathematics (TIMA)Show/Hide content

Computational Mathematics

Computational mathematics develops and analyses numerical methods and algorithms for the solution of problems in science and engineering.

Important topics are well-posedness of the governing partial differential equations and convergence of the numerical approximation. Accuracy, stability, efficiency, software aspects and computer implementation are important.

Contact

Photo of Jan Nordström

Jan Nordström

Professor

Mathematical Statistics

Mathematical statistics is the science of randomness and probabilities.

The research within the subject is divided into probability theory and statistical inference, where statistical inference (how to draw conclusions from random data) is based on probability theory.




Contact

Photo of Martin Singull

Martin Singull

Professor, Head of Division

Optimization

Optimization aims at finding the best solutions to difficult problems.

All large-scale and complex operations must be planned, especially where cost is a factor. In many cases, the problems are too difficult to solve for a human being. A common property for many of these problems is that they give large, difficult combinatorial models that require research to be resolved.

Contact

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Kaj Holmberg

Professor

Research areas at the Division of Applied Mathematics (TIMA)Show/Hide content

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Modern Multivariate Statistical Analysis

Nowadays there is a great need to analyse complex high-dimensional data. Modern theories must be developed through the knowledge of the classical methods of multivariate statistics.
Unstructured mesh around high lift configuration.

Numerical Solutions of Time-Dependent Partial Differential Equations

Well-posedness of the governing partial differential equations lead to effective and accurate numerical methods for the analysis of physical processes in science and engineering.
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Operations Research Methods for Scheduling and Resource Allocation Problems

In this research project, we are developing mathematical models and solution methods for practically relevant but computationally challenging problems in scheduling and resource allocation.
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Decision support for railway crew planning

For our society to fully reap the benefits of sustainable train travel, careful resource planning is essential. Passengers need to be able to rely on that trains are on time and train operators need to make efficient use of their vehicles and crew.
Snow removal with a tractor in Stockholm

Optimization of Snow Removal in Cities

Snow removal in a city is a major undertaking that requires route planning and efficient driving schedules. It is a difficult and complex optimization problem and research is needed to be able to get good solutions.

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Research collaboration in Mathematics with low income countries and regions

The Department of Mathematics contributes to the development of capacity for higher education and research in low income countries and regions through collaborative projects in Africa and Asia.

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Doctoral studies in Mathematical Sciences

Doctoral studies in Mathematical Sciences

Within mathematical sciences we study questions of a mathematical character, either from a purely theoretical perspective or directed towards practical applications. In either case the mathematical problem and its properties is the main focus.
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Research School in Interdisciplinary Mathematics

The Department of Mathematics offers a doctoral programme for students with a strong mathematical interest who are interested to apply mathematics on practical problems in different fields such as engineering, business, computer science and industry.
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PhD courses at the Department of Mathematics

The Department of Mathematics offers PhD courses in Mathematical Sciences, which includes five specialisations: Computational Mathematics, Interdisciplinary Mathematics, Mathematics, Mathematical Statistics and Optimization.

PhD courses at the Department of Mathematics

Contacts at the Division of Applied Mathematics (TIMA)Show/Hide content

Staff

Photo of Fredrik Berntsson

Fredrik Berntsson

Senior Lecturer

Photo of Åke Björck

Åke Björck
Photo of Beatrice Byukusenge

Beatrice Byukusenge
Photo of Cigdem Cengiz

Cigdem Cengiz

PhD Student

Photo of Lars Eldén

Lars Eldén
Photo of Tommy Elfving

Tommy Elfving
Photo of Elias Erdtman

Elias Erdtman

PhD Student

Photo of Torkel Erhardsson

Torkel Erhardsson

Senior Lecturer

Photo of Roghayeh Hajizadeh

Roghayeh Hajizadeh

PhD Student

Photo of Kaj Holmberg

Kaj Holmberg

Professor

Torbjörn Larsson

Professor

Photo of Fredrik Laurén

Fredrik Laurén

PhD Student

Photo of Zhenxia Liu

Zhenxia Liu

Assistant Professor

Photo of Tomas Lundquist

Tomas Lundquist

Principal Research Engineer

Photo of Jörg-Uwe Löbus

Jörg-Uwe Löbus

Senior Lecturer

Photo of William Lövfors

William Lövfors

PhD Student

Photo of Yurii Malitskyi

Yurii Malitskyi

Assistant Professor

Photo of Mainza Mbokoma

Mainza Mbokoma
Photo of Björn Morén

Björn Morén

Postdoc

Photo of Jan Nordström

Jan Nordström

Professor

Photo of Nils-Hassan Quttineh

Nils-Hassan Quttineh

Associate Professor

Photo of Elina Rönnberg

Elina Rönnberg

Deputy Head of Department, Senior Lecturer

Photo of Stefane Saize

Stefane Saize
Photo of Martin Singull

Martin Singull

Professor, Head of Division

Photo of Emelyne Umunoza Gasana

Emelyne Umunoza Gasana
Photo of Denise Uwamariya

Denise Uwamariya
Photo of Andrew Ross Winters

Andrew Ross Winters

Assistant Professor

Photo of Biressaw Chali Wolde

Biressaw Chali Wolde
Photo of Xiangfeng Yang

Xiangfeng Yang

Senior Lecturer

Photo of Dietrich von Rosen

Dietrich von Rosen

Visiting Professor

Address

Visiting address

Department of Mathematics, B Building, entrance 21-25, Campus Valla

Postal address

Linköping University
Department of Mathematics
581 83 Linköping
Sweden

SeminarsShow/Hide content

Seminars in Computational Mathematics

The seminars in Computational Mathematics are organised by the Department of Mathematics.

Seminars in Interdisciplinary Mathematics

The aim of the seminars is to obtain knowledge about interesting mathematical application problems. We invite people from different companies and university institutions to discuss problems and technical challenges they have in their operations.

Seminars in Mathematical Statistics

The seminars are organised by the Department of Mathematics and form part of the seminar series "Seminars in Statistics and Mathematical Statistics". The topic is probability theory, random processes, statistical theory, and applied statistics.

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2022

2021

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Department of Mathematics

The department conducts research in computational mathematics, mathematics and applied mathematics, mathematical statistics, and optimization. We provide courses to students in most degree programmes in mathematics, science and engineering.
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