Description:
The Corangamite Catchment Management Authority (CMA) region occupies an area of 13,340 km2 in southwestern Victoria, and consists of four major river basins, namely Moorrabool River, Barwon River, Lake Corangamite and Otway Coast. The region is of high economic value to the State with much of the land supporting agricultural and forestry industries.
Description:
The Corangamite Catchment Management Authority (CMA) region occupies an area of 13,340 km2 in southwestern Victoria, and consists of four major river basins, namely Moorrabool River, Barwon River, Lake Corangamite and Otway Coast. The region is of high economic value to the State with much of the land supporting agricultural and forestry industries.
Description:
This encyclopedia provides a thorough examination of concepts, technologies, policies, training, and applications of ICT in support of economic and regional developments around the globe.
Description:
This encyclopedia provides a thorough examination of concepts, technologies, policies, training, and applications of ICT in support of economic and regional developments around the globe.
Description:
"This book provides a cross-disciplinary perspective on participation and governance issues in regional development - processes now regarded as essential for sustainable regional development. It brings together a group of respected social researchers from across Australia to consider these issues and places Australian regional development experiences within their broader international context."--BOOK JACKET.
Description:
We study functions that can be represented as the sum of minima of convex functions. Minimization of such functions can be used for approximation of finite sets and their clustering. We suggest to use the local discrete gradient (DG) method [Bag99] and the hybrid method between the cutting angle method and the discrete gradient method (DG+CAM) [BRZ05b] for the minimization of these functions. We report and analyze the results of numerical experiments.
Description:
We study functions that can be represented as the sum of minima of convex functions. Minimization of such functions can be used for approximation of finite sets and their clustering. We suggest to use the local discrete gradient (DG) method [Bag99] and the hybrid method between the cutting angle method and the discrete gradient method (DG+CAM) [BRZ05b] for the minimization of these functions. We report and analyze the results of numerical experiments.