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2 edition of Mathematical programming and the analysis of capital budgeting problems found in the catalog.

Mathematical programming and the analysis of capital budgeting problems

H. Martin Weingartner

Mathematical programming and the analysis of capital budgeting problems

by H. Martin Weingartner

  • 31 Want to read
  • 14 Currently reading

Published by Prentice-Hall in Englewood Cliffs, N.J .
Written in English

    Subjects:
  • Capital investments -- Mathematical models,
  • Linear programming

  • Edition Notes

    Statement(by) H. Martin Weingartner.
    SeriesFord Foundation Doctoral Dissertation series
    Classifications
    LC ClassificationsHG4028.C4
    The Physical Object
    Paginationxiv, 265 p. ;
    Number of Pages265
    ID Numbers
    Open LibraryOL13916491M

    Fourteen papers approach forecasting problems using the multicriteria models and data envelopment analysis. Journal of Economic Literature Product details. Series: Advances in Mathematical Programming and Financial Planning (Book 5) Hardcover: pages; Publisher: Emerald Format: Hardcover. Management Science 47(8) (): –; and H. M. Weingartner, Mathematical Programming and the Analysis of Capital Budgeting Problems (Englewood Cliffs, NJ: Prentice-Hall, ). Problems All problems are available in. An asterisk (*) indicates problems with a higher level of difficulty. NPV and Stand-Alone Projects Size: KB.

    Some Integer-Programming Models Capital Budgeting In a typical capital-budgeting problem, decisions involve the selection of a number of potential investments. The investment decisions might be to choose among possible plant locations, to select a configuration of capital equipment, or to settle upon a set of research-and-development File Size: 1MB. The construction and use of mathematical programming models for the analysis of the integrated investment and financing decision of the firm D.J. Ashton Towards a Corporate Cash Flow Tax SystemAuthor: John Pointon.

    TAXMANN ® CAPITAl BuDgETINg - RISk ANAlySIS (d) Standard Deviation(e) Coefficient of Variation(f) Sensitivity Analysis(g) Simulation(h) Probability Distribution Approach(i)Normal Probability Distribution(j) linear ProgrammingQuestion 3] Write a short note on: Certainty Equivalent Approach Ans.: Certainty Equivalent Factor (CEF) is the ratio of assured cash flows to uncertain cash flows. under. Capital Budgeting 1 Vol. 2, Chapter 4 – Capital Budgeting Problem 1: Solution Answers found using Excel formulas: 1. Amount invested = $10, $21, Compounding period = annually Number of years = 10 Annual interest rate = 8% Effective interest rate = 8% # of periods compounded = 10 2.


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Mathematical programming and the analysis of capital budgeting problems by H. Martin Weingartner Download PDF EPUB FB2

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EMBED EMBED (for wordpress Capital investments--Mathematical models, Linear programming. Publisher Englewood Cliffs, N. Additional Physical Format: Online version: Weingartner, H. Martin. Mathematical programming and the analysis of capital budgeting problems. Chicago, Markham Pub. Mathematical Programming and the Analysis of Capital Budgeting Problems (H.

Martin Weingartner)Author: William Beranek. Mathematical programming and the analysis of capital budgeting problems. Englewood Cliffs, N.J., Prentice-Hall [] (OCoLC) Document Type: Book: All. Mathematical programming and the analysis of capital budgeting problems.

Martin Weingartner. Markham Pub. Co., - Capital investments - pages. 0 Reviews. From inside the book. What people are saying - Write a review. Mathematical Programming and the.

Lorie and L. Savage. Three problems in rationing capital. Bus. 28 (). Sharp and A. Guzman-Garza. Borrowing interest rate as a function of the debt-equity ratio in capital budgeting models.

Engng Econ. 26, (). Weingartner. Mathematical Programming and the Analysis of Capital Budgeting Cited by: 4. to achievement of optimal capital investment behavior in the real world. A major contribution for the correct theoretical formulation and treatment of constrained capital budgeting problems through the use of mathematical programming was made in by Weingartner.1 Since that time, several additional contributions by that author,2 Baumol and.

Mathematical Programming Models for Capital Budgeting—A Survey, Generalization, and Critique** - Volume 4 Issue 2 - Richard H. BernhardCited by: Introduction to mathematical analysis: With applications to problems of economics (Addison-Wesley mathematics series) by Paul H Daus and a great selection of related books, art and collectibles available now at   The desired end result of the capital budgeting process is the selection of an optimal portfolio of investments from a set of alternative investment proposals.

An optimal portfolio of investments is defined as the set of investments that makes the greatest possible contribution to the achievement of the organization’s goals, given the.

Abstract. This paper provides a linear programming model for investment planning under capital rationing. Differences from the usual formulations of the capital rationing problem result from the explicit treatment of “stocks” quantities and of costs of transferring funds among the : Stefano Baccarin.

A mathematical programming model for capital budgeting and long-range planning of electrical energy systems Son Van Le Iowa State University Follow this and additional works at: Part of theIndustrial Engineering Commons, and theOil, Gas, and Energy CommonsAuthor: Son Van Le.

Linear Programming and Capital Budgeting: The Financing Problem Mathematical programming and the analysis of capital budgeting problems. use of mathematical programming permits the whole. Chapter 5 Capital Budgeting 1. Initial investment includes capital expenditure and WC 2.

R&D expense is a sunk cost 3. Depreciation is $2M/10 = $M for first 10 years 4. Project should not be charged for painting-machine time 5.

Project should be charged for File Size: 95KB. techniques, project evaluation or capital budgeting techniques, risk analysis techniques and even mathematical programming techniques so as to determine whether the proposed investment project would add value to the firm or not.

5) Qualitative factors in project evaluation Along with quantitative analysis, qualitative factors are also. Capital budgeting is the financial analysis that corporations conduct to determine if they should pursue a potential investment or project.

Cash flow is the money that goes into and out of a business. Equivalent mathematical programming models of the capital budgeting problem. Author links open overlay panel Ji Soo Kim Byoung Nam Lee. Show moreCited by: 4.

This video walks you through how to work the types of capital budgeting project problems you are likely to see on finance homework assignments and tests.

Capital investment decisions are a constant challenge to all levels of financial managers. Capital Budgeting: Theory and Practice shows you how to confront them using state-of-the-art techniques.

Broken down into four comprehensive sections, Capital Budgeting: Theory and Practice explores and illustrates all aspects of the capital budgeting decision s: 1. Capital budgeting is the process most companies use to authorize capital spending on long‐term projects and on other projects requiring significant investments of capital.

Because capital is usually limited in its availability, capital projects are individually evaluated using both .The initial worksheet for a randomly generated project problem is shown below.

The top part of worksheet holds the mathematical programming model. We describe the formal math programming model later on this page. The capital budgeting data starts at row   A subset of Winston's best-selling OPERATIONS RESEARCH, INTRODUCTION TO MATHEMATICAL PROGRAMMING offers self-contained chapters that make it flexible enough for one- or two-semester courses ranging from advanced beginning to intermediate in level.

The book has a strong computer orientation and emphasizes model-formulation and model-building : Wayne Winston.