Aims & Scope

CMJ publishes computational mathematics research that offers a clear theoretical, algorithmic, numerical or reproducibility contribution.

Scope

• Numerical linear algebra and matrix computation
• Numerical analysis and approximation theory
• Computational ordinary and partial differential equations
• Optimization, operations research and variational methods
• Scientific computing and high-performance numerical methods
• Computational geometry and discrete mathematics
• Stochastic computation and uncertainty quantification
• Inverse problems and parameter estimation
• Mathematical modelling and simulation
• Symbolic and algebraic computation
• Data-driven and machine-learning methods with substantive mathematical analysis
• Verified computing, interval methods and reproducible mathematical software

Routine applications of standard software without mathematical novelty, adequate validation or transferable insight are outside scope.