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Linear Programming for Financial Planning Under Uncertainty (Classic Reprint)

Linear Programming for Financial Planning Under Uncertainty (Classic Reprint)
Author: Stewart C. Myers
Publisher: Forgotten Books
Total Pages: 88
Release: 2019-02-16
Genre: Business & Economics
ISBN: 9780666612793

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Excerpt from Linear Programming for Financial Planning Under Uncertainty LP problems, should generate interest in the models as practical decision-making tools. It is too soon, of course, to assess their ultimate fruitfulness in either respect. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.


A Linear Programming Model for Short Term Financial Planning Under Uncertainty

A Linear Programming Model for Short Term Financial Planning Under Uncertainty
Author: G A Pogue
Publisher: Sagwan Press
Total Pages: 114
Release: 2018-02-07
Genre:
ISBN: 9781377004488

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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.


A Linear Programming Model for Short Term Financial Planning Under Uncertainty (Classic Reprint)

A Linear Programming Model for Short Term Financial Planning Under Uncertainty (Classic Reprint)
Author: Gerald Albert Pogue
Publisher: Forgotten Books
Total Pages: 112
Release: 2018-02-24
Genre: Business & Economics
ISBN: 9780666306425

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Excerpt from A Linear Programming Model for Short Term Financial Planning Under Uncertainty Short run financial planning deals with the problem of interfac ing the short run cash requirements of the firm with the time stream of cash available from the firm's long run financing strategy. This task can be divided into two parts; the raising of funds required to supplement long term funds and the provision of short run financing and investment sources to buffer timing differences between subperiods of net cash outflows 'and inflows. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.


Linear Programming for Financial Planning Under Uncertainty

Linear Programming for Financial Planning Under Uncertainty
Author: Stewart C Myers
Publisher: Palala Press
Total Pages: 90
Release: 2018-03-02
Genre:
ISBN: 9781379068945

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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.


Linear Programming for Financial Planning Under Uncertainty

Linear Programming for Financial Planning Under Uncertainty
Author: Stewart C. Myers
Publisher: Forgotten Books
Total Pages: 79
Release: 2015-06-17
Genre: Business & Economics
ISBN: 9781330143803

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Excerpt from Linear Programming for Financial Planning Under Uncertainty 2. The models yield simultaneous solutions for the firm's optimal financing and investment decisions. The financing decision is not considered "with the investment decision given," nor vice-versa. 3. Some practical difficulties associated with the cost of capital concept are avoided. The traditional weighted average cost of capital does not appear in these LP models. The first two characteristics should lead to some interest in the mosels as theory; the third, along with the ease of solution of LP problems, should generate interest in the models as practical decision-making tools. However, this paper does not include a detailed model for practical application. The paper is organized as follows. The general linear format is explained in the next section. The key assumption justifying it is that the structure of security prices at equilibrium is best described by the class of security valuation models which imply risk-independence of financing and investment options. The following section examines a simple model in detail, and contrasts the LP approach with "traditional" approaches using the cost of capital. Practical implications of the model are discussed in the third section. We will consider the firm's financial planning problem in the following terms. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.


Interactive Multiple Goal Programming

Interactive Multiple Goal Programming
Author: J. Spronk
Publisher: Springer Science & Business Media
Total Pages: 270
Release: 2012-12-06
Genre: Business & Economics
ISBN: 9400981651

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1. 1. Motivation This book is based on the view-tx)int that both public and private decision making, in practice, can often be ilrproved upon by means of fonnal (nonnative) decision nodels and methods. To sane extent, the validity of this statement can be measured by the irrpressive number of su=esses of disciplines as operations research and management science. Hcwever, as witnessed by the many discussions in the professional journals in these fields, many rrodels and methods do not completely meet the requirements of decision making in prac tice. Of all possible origins of these clear shortcomings, we main-· ly focus on only one: the fact that nost of these nodels and methods are unsuitable for decision situations in which multiple and possi bly conflicting objectives playa role, because they are concentra ted on the (optimal) fulfilment of only one objective. The need to account for multiple goals was observed relatively early. Hoffman [1955], while describing 'what seem to be the prin cipal areas (in linear prograrrrning) where new ideas and new methods are needed' gives an exanple with conflicting goals. In this pro blem, the assignrrent of relative weights is a great problem for the planning staff and is 'probably not the province of the mathemati cian engaged in solving this problem'. These remarks were true pre cursors of later develor:nents. Nevertheless, the need for methods dealing with multiple goals was not widely recognized until much later.


Production Planning by Mixed Integer Programming

Production Planning by Mixed Integer Programming
Author: Yves Pochet
Publisher: Springer Science & Business Media
Total Pages: 506
Release: 2006-04-19
Genre: Business & Economics
ISBN: 0387299599

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This textbook provides a comprehensive modeling, reformulation and optimization approach for solving production planning and supply chain planning problems, covering topics from a basic introduction to planning systems, mixed integer programming (MIP) models and algorithms through the advanced description of mathematical results in polyhedral combinatorics required to solve these problems. Based on twenty years worth of research in which the authors have played a significant role, the book addresses real life industrial production planning problems (involving complex production structures with multiple production stages) using MIP modeling and reformulation approach. The book provides an introduction to MIP modeling and to planning systems, a unique collection of reformulation results, and an easy to use problem-solving library. This approach is demonstrated through a series of real life case studies, exercises and detailed illustrations. Review by Jakub Marecek (Computer Journal) The emphasis put on mixed integer rounding and mixing sets, heuristics in-built in general purpose integer programming solvers, as well as on decompositions and heuristics using integer programming should be praised... There is no doubt that this volume offers the present best introduction to integer programming formulations of lotsizing problems, encountered in production planning. (2007)


Optimization Methods in Finance

Optimization Methods in Finance
Author: Gerard Cornuejols
Publisher: Cambridge University Press
Total Pages: 358
Release: 2006-12-21
Genre: Mathematics
ISBN: 9780521861700

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Optimization models play an increasingly important role in financial decisions. This is the first textbook devoted to explaining how recent advances in optimization models, methods and software can be applied to solve problems in computational finance more efficiently and accurately. Chapters discussing the theory and efficient solution methods for all major classes of optimization problems alternate with chapters illustrating their use in modeling problems of mathematical finance. The reader is guided through topics such as volatility estimation, portfolio optimization problems and constructing an index fund, using techniques such as nonlinear optimization models, quadratic programming formulations and integer programming models respectively. The book is based on Master's courses in financial engineering and comes with worked examples, exercises and case studies. It will be welcomed by applied mathematicians, operational researchers and others who work in mathematical and computational finance and who are seeking a text for self-learning or for use with courses.