By Richard Courant

From the experiences: "...one of the simplest textbooks introducing a number of generations of mathematicians to raised arithmetic. ... this glorious e-book is extremely instructed either to teachers and students." --Acta Scientiarum Mathematicarum, 1991

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6). As a result, the fiscal deficit did not improve between I995 and I996 (due to lower government income and higher debt service payments), remaining at around 5% of GDP. In 1997, new policies adopted to combat this new crisis, such as an increased flexibility in monetary policy (Mesalles, I998), resulted in an increase in GDP to just over 3%, a lower inflation of about II% and lower real interest rates of about 7%. However, both the current account (exports and imports of goods and services) and balance of payments (which includes financial flows as well) developed deficits of some 4% of GDP, reflecting increased economic activity (higher imports of capital goods).

Ruseman et al. (1994) developed a farm classification consisting of four categories. Of a total number of 9316 farms (with a total area of 285 316 ha), 6480 were classified as small farms between 0-20 ha (total area 46 254 ha), 1690 as medium farms between 20-50 ha (total area 48 472 ha), 1010 as extensive haciendas 24 with more than 50 ha and more than 50 head of cattle (total area 169 526 ha) and 136 as banana plantations (total area 21 064 ha). The above farm structure is still more 'or less valid, even though the importance of banana plantations has increased (in 1995 there were 187 plantations with a total area of 49 599 ha).

5 km for Costa Rica to 32 km2 for China. The present study is the first attempt to apply CLUE to smaller geographic units. 2 CLUE Modeling framework The CLUE modeling framework consists of three major modules: i) a multi-scale statistical description of present land use; ii) a general analysis of demand, and the definition of possible future demand pathways; and iii) a multi-scale allocation module, in which total demand in the study area, as defined in the demand scenarios, is spatially distributed over the study area using the statistical description.

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