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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New.

Wraps. Zustand: Good. Presumed First Edition, First printing. [2], 27, [8] pages. Figure. References. Staplebound. Illustrated covers. Pencil notes on front cover. Cover has tape repairs. The author may have later joined the National Bureau of Economic Research (NBER). XMP is a hierarchically structured library of FORTRAN subroutines for linear programming. Its purpose is to facilitate algorithmic research and model development in operations research and related disciplines. The intended audience for XMP, the design goals that were identified as essential for serving that audience, and the way in which those goals were embodied in a working system, are described. Experience with XMP shows that an LP system can be designed primarily for flexibility and ease of modification without too great a sacrifice in computational efficiency. This paper was written to advance a particular viewpoint toward the development of mathematical software and to influence the designed of future systems of mathematical programming. This document appears to have been subsequently published in ACM Transactions on Mathematical Software 7(4):481-497 December 1981. Linear programming is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements are represented by linear relationships. Linear programming is a special case of mathematical programming (also known as mathematical optimization). More formally, linear programming is a technique for the optimization of a linear objective function, subject to linear equality and linear inequality constraints. Its feasible region is a convex polytope, which is a set defined as the intersection of finitely many half spaces, each of which is defined by a linear inequality. Its objective function is a real-valued affine (linear) function defined on this polyhedron. A linear programming algorithm finds a point in the polyhedron where this function has the smallest (or largest) value if such a point exists.

Taschenbuch. Zustand: Neu. Neuware - This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.

Buch. Zustand: Neu. Neuware.

Buch. Zustand: Neu. Neuware - This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.