Mathematical Programming, the official journal of the Mathematical Optimization Society, is dedicated to publishing original articles that address every facet of mathematical optimization. This includes all considerations related to the optimization of a functions of multiple variables, often subject to a set of constraints. The journal covers a wide spectrum of topics, encompassing both theoretical and computational issues, as well as application studies.
 
The range of subjects covered includes standard topics such as linear, nonlinear, integer, conic, stochastic, and combinatorial optimization. Additionally, the journal explores techniques for formulating and applying mathematical programming models, convex, nonsmooth, and variational analysis, the theory of polyhedra, variational inequalities, and control and game theory viewed through the lens of mathematical programming. The editorial boards express particular interest in novel applications of mathematical programming and intersections with engineering, economics, and computer science.
 
Mathematical Programming is divided into two series. Series A publishes original research articles, expositions, surveys, and short communications that contribute novel and significant insights to the field of mathematical optimization; it also provides a platform for reports on new or innovative practical applications. Series B, on the other hand, focuses on a single subject of current interest to the mathematical programming community, with each issue having one or more guest editors who may not necessarily be members of the editorial board. An issue of Series B may take the form of a collection of original articles, a single research monograph, or a selection of papers from a conference.
 
Articles primarily concerned with computational issues such as implementation and testing should in general be submitted to Mathematical Programming Computation.
 
The journal's commitment to excellence is reflected in its high standards and its position as a premier outlet for groundbreaking research in mathematical optimization. According to a survey, 94% of authors expressed their intention to publish in the journal again, highlighting its reputation and significance in the field.