Harmonic Analysis with Lean Formalization
Location: Germany
Source: EU Funding & Tenders Portal
Recent advances in formalization have brought the longstanding vision of machine-verifiable mathematics within reach. Formed by world leading experts in harmonic analysis and formalization, HALF is the first research initiative to concurrently achieve breakthrough results in a foundational mathematical area while formalizing them in the proof assistant Lean. HALF tackles pivotal and long-standing
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | forthcoming |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Recent advances in formalization have brought the longstanding vision of machine-verifiable mathematics within reach. Formed by world leading experts in harmonic analysis and formalization, HALF is the first research initiative to concurrently achieve breakthrough results in a foundational mathematical area while formalizing them in the proof assistant Lean. HALF tackles pivotal and long-standing open problems in harmonic analysis, with an emphasis on multilinear and nonlinear operators. These fundamental questions are motivated intrinsically and also have applications in other mathematical and interdisciplinary fields such as ergodic theory and quantum computing. HALF also extends Lean's capabilities, establishing comprehensive libraries and tools tailored for the efficient formalization of harmonic analysis and related mathematical domains. Being the first of its kind, HALF is a milestone towards making computer verification routine in research mathematics. It produces highly needed training material for anticipated artificial intelligence applications that will in the future aid the verification process and provide automated tools for rigorous discovery in mathematics. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
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