Academic Sections

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Each section sets out the subject questions, methods and contribution relevant to its part of the journal.

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Academic Section

Pure Mathematics

This section covers pure mathematics within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.

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Academic Section

Applied Mathematics

This section covers applied mathematics within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.

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Academic Section

Statistics

This section covers statistics within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.

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Academic Section

Probability

This section covers probability within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.

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Academic Section

Optimization

This section covers optimization within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.

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Academic Section

Numerical Analysis

This section covers numerical analysis within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.

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Academic Section

Scientific Computing

This section covers scientific computing within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.

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Academic Section

Operations Research

This section covers operations research within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.

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Academic Section

Mathematical Modelling

This section covers mathematical modelling within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.

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Academic Section

Computational Methods

This section covers computational methods within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.

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