A. John and J. C. Browne, A constraint-based parallel programming language, Tech. Rep. TR95-42, Department of Computer Science, University of Texas at Austin, 1995. Home/Search Document Details and Download
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Hierarchical Approaches to Automatic Differentiation - Bischof, Haghighat (1996) (2 citations) (Correct)
....large programs, since such a representation must occupy storage on the order of the number of floating point operations executed in a program. One way to circumvent this difficulty is to increase the granularity of the elementary operators in the underlying language. For example, the CODE system [21], as well as the class definitions underlying the weather model described in [24] employs 3 D data structures as elementary objects. Vectors are employed as base types in [26] and the elementary objects are supported by an algebraic manipulation system in [22] The reduction in complexity of the ....
A. John and J. C. Browne, A constraint-based parallel programming language, Tech. Rep. TR95-42, Department of Computer Science, University of Texas at Austin, 1995.
Hierarchical Approaches to Automatic Differentiation - Bischof, Haghighat (1996) (2 citations) (Correct)
....large programs, since such a representation must occupy storage on the order of the number of floating point operations executed in a program. One way to circumvent this difficulty is to increase the granularity of the elementary operators in the underlying language. For example, the CODE system [21], as well as the class definitions underlying the weather model described in [24] employs 3 D data structures as elementary objects. Vectors are employed as base types in [26] and the elementary objects that can be symbolically differentiated by an algebraic manipulation system are the ....
A. John and J. C. Browne, A constraint-based parallel programming language, Tech. Rep. TR95-42, Department of Computer Science, University of Texas at Austin, 1995.
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