TiML: a functional language for practical complexity analysis with invariants
We present TiML (Timed ML), an ML-like functional language with time-complexity annotations in types. It uses indexed types to express sizes of data structures and upper bounds on running time of functions; and refinement kinds to constrain these indices, expressing data-structure invariants and pre...
Main Authors: | Chlipala, Adam, Wang, Peng, Want, Di |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
Association for Computing Machinery (ACM)
2019
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Online Access: | https://hdl.handle.net/1721.1/121232 |
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