xxv, 913 pages ; 24 cm Includes bibliographical references (pages 885-888) and index Introduction to Computers and C++ Programming -- C++ Basics -- Procedural Abstraction and Functions That Return a ...

In preparing this book of problems the author attempted firstly, to give a sufficient number of exercises for developing skills in the solution of typical problems (for example, the computing of ...

PaPILO, a C++14-based software package, provides parallel presolve routines for (mixed integer) linear programming problems. The routines are implemented using templates which allows switching to ...

where Q must be positive semi-definite and, if Q is zero, there may be a requirement that some of the variables take integer values. Thus HiGHS can solve linear programming (LP) problems, convex ...

The simplex algorithm, a linear programming technique, was adopted to minimize the objective function, which was the feed price, established the following restrictions: i) non-negativity of the ...

This paper discusses a class of linear programming problems with interval coefficients in both the objective functions and constraints. The noninferior solutions to such problems are defined based on ...

The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, medical ...