The first graduate-level treatment of computable analysis within the tradition of classical mathematical reasoning.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Marian B. Pour-El works in the School of Mathematics at the University of Minnesota.
Inhaltsangabe
Introduction Prerequisites from logic and analysis Part I. Computability in Classical Analysis: An introduction to computable analysis 1. Further topics in computable analysis Part II. The Computability Theory of Banach Spaces: 2. Computability structures on a Banach space 3. The first main theorem and its applications Part III. The Computability Theory of Eigenvalues and Eigenvectors: 4. The second main theorem, the eigenvector theorem, and related results 5. Proof of the second main theorem Addendum: open problems Bibliography Subject index.
Introduction Prerequisites from logic and analysis Part I. Computability in Classical Analysis: An introduction to computable analysis 1. Further topics in computable analysis Part II. The Computability Theory of Banach Spaces: 2. Computability structures on a Banach space 3. The first main theorem and its applications Part III. The Computability Theory of Eigenvalues and Eigenvectors: 4. The second main theorem, the eigenvector theorem, and related results 5. Proof of the second main theorem Addendum: open problems Bibliography Subject index.
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