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Toward Abstract Numerical Analysis
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Volume 20 ,  Issue 3  (July 1973) table of contents
Pages: 399 - 408  
Year of Publication: 1973
ISSN:0004-5411
Author
Webb Miller  IBM Thomas J. Watson Research Center, Yorktown Heights, New York
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper deals with a technique for proving that certain problems of numerical analysis are numerically unsolvable. So that only methods which are natural for dealing with analytic problems may be presented, notions from recursive function theory have been avoided. Instead, the number of necessary function evaluations is taken as the measure of computational complexity. The role of topological concepts in the study of computability is examined. Last, a topological result is used to prove that a simple initial-value problem is numerically unsolvable.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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ABERTn, O. The concept of effective method apphed to computational problems of hnear algebra. J. Comput. Syst. Sc~. 5 (1971), 17-25,
 
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CLEAVE, J. The primitive recursive analysis of ordinary differential equations and the complexity of their solutions j. Comput. Syst. Sc~ 8 (1969), 447-455
 
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CODDINGTON, E., AND LEVINSON, N. Theory of Ordsnary D~fferent2al Equations. McGraw-Hill, New York, 1955.
 
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l)u6usDJI, J. Topology. Allyn and Bacon, Boston, 1966.
 
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HENmCI, PD~screte Variable Methods In Ordinary D~fferential Equations. Wiley, New York, 1962.
 
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MILLER, WToward abstract numerical analysis Ph D. Dlss., U of Washington, Seattle, 1969.
 
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MILLER, W.Recursive function theory and numemcal analysis. J. Comput. Syst Sct. $ (1970), 465-472.
 
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MILLER, W.Unsolvable problems with differentiability hypotheses Proc. Fourth Ann. Pranceton Conf on information Sciences and Systems, 1970, pp 480-482.
 
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REINGOLD, E M. Review of {2} Comput~l~g Remews 12 (Dec 1971), 22,350.
 
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TaAUB, J.F. Computational complexity of lteratlve processes. S~am J. Comput. I (1972), 167- 179.
 
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