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Efficient Specification and Solution of the Even-aged Rotation and Thinning Problem

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Dynamic programming is frequently used for stand level optimization. In recent years, solution methods have been made available for a number of growth models. However, increasingly complex growth models require network specifications with high dimensionality and its associated high computational cost. This paper presents a more efficient solution algorithm that overcomes the computational burdens of the traditional dynamic programming approach. The algorithm is described using LaGrange multipliers and network theory. An illustrative example is presented, and the computational efficiency of the new method is demonstrated by comparing its performance with an existing dynamic programming algorithm. The scope of applicability of the proposed method is discussed as well as aspects requiring further analysis and research. For. Sci. 33(1):14-29.
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Keywords: Dynamic programming; LaGrange multipliers; forest economics; network optimization

Document Type: Journal Article

Affiliations: Professor, Department of Forest Management, College of Forestry, Oregon State University

Publication date: 1987-03-01

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  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
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