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Soil fauna in rainfed paddy field ecosystems : their role in organic matter decomposition and nitrogen mineralization /Widyastuti, Rahayu. January 2002 (has links) (PDF)
Univ., Diss.--Bonn, 2002. / Zusammenfass. auf dt.
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The green revolution in Java : politics and social change under the "new order" government /Milich, Ralph James. January 1975 (has links) (PDF)
Thesis (M.A. 1977) from the Department of Politics, University of Adelaide.
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Formen der javanischen Pilgerschaft zu HeiligenschreinenFuhrmann, Klaus. January 2000 (has links) (PDF)
Freiburg (Breisgau), Universiẗat, Diss., 2001.
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Reality Check - Wie geht es Duke? Der aktuelle Entwicklungsstand von Java.Huebsch, Chris 25 May 1999 (has links)
Vortrag UNIX Stammtisch 82 (05/1999)
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State and statecraft in old Java a study of the later Mataram period, 16th to 19th century.Moertono, Soemarsaid, January 1968 (has links)
Thesis (M.A.)--Cornell, 1964. / Bibliography: p. 122-129.
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De distribueerende tusschenhandel der Chineezen op JavaLier, Twan Djie. January 1947 (has links)
Proefschrift--Nederlandsche Economische Hoogeschool, Rotterdam. / Bibliography: p. [102]-104.
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De distribueerende tusschenhandel der Chineezen op JavaLier, Twan Djie. January 1947 (has links)
Proefschrift--Nederlandsche Economische Hoogeschool, Rotterdam. / Bibliography: p. [102]-104.
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Over de erfelijkheid der regenten op JavaDelden, Hendrik Reinier van. January 1862 (has links)
Thesis (doctoral)--Rijksuniversiteit te Leiden, 1862.
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State and statecraft in old Java : a study of the later Mataram period, 16th to 19th century /Moertono, Soemarsaid, January 1981 (has links)
Thesis (M. A.)--History--Cornell University, 1964. / Bibliogr. p. 151-158. Index.
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Suitability of Java for Solving Large Sparse Positive Definite Systems of Equations Using Direct MethodsArmstrong, Shea January 2004 (has links)
The purpose of the thesis is to determine whether Java, a programming language that evolved out of a research project by Sun Microsystems in 1990, is suitable for solving large sparse linear systems using direct methods. That is, can performance comparable to the language traditionally used for sparse matrix computation, Fortran, be achieved by a Java implementation. Performance evaluation criteria include execution speed and memory requirements. A secondary criterion is ease of development. Many attractive features, unique to the Java programming language, make it desirable for use in sparse matrix computation and provide the motivation for the thesis. The 'write once, run anywhere' proposition, coupled with nearly-ubiquitous Java support, alleviates the need to re-write programs in the event of hardware change. Features such as garbage collection (automatic recycling of memory) and array-index bounds checking make Java programs more robust than those written in Fortran. Java has garnered a poor reputation as a high-performance computing platform, largely attributable to poor performance relative to Fortran in its early years. It is now a consensus among researchers that the Java language itself is not the problem, but rather its implementation. As such, improving compiler technology for numerical codes is critical to achieving high performance in numerical Java applications. Preliminary work involved converting SPARSPAK, a collection of Fortran 90 subroutines for solving large sparse systems of linear equations and least squares problems developed by Dr. Alan George, into Java (J-SPARSPAK). It is well known that the majority of the solution process is spent in the numeric factorization phase. Initial benchmarks showed Java performing, on average, 3. 6 times slower than Fortran for this critical phase. We detail how we improved Java performance to within a factor of two of Fortran.
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