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Optimization Verification

By e2er authors

This skill covers computational verification of optimization problems: KKT conditions, second-order conditions, comparative statics, and economic applications. All code should be self-contained Python using numpy, scipy, sympy.

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Provenance

Project
e2er bundled skills
Maintained by
e2er authors
Licence
MIT
Source file
bhanneke/E2ER-project/blob/v0.16.1/skills/files/math/optimization-verification.md
Identifier
e2er/math/optimization-verification

Use it

Ships with every installation of e2er.

Cite this skill
Persistent identifiers planned 
@software{e2erauthors2026optimizationverification,
  title   = {Optimization Verification},
  author  = {e2er authors},
  year    = {2026},
  note    = {e2er skill. Persistent identifier planned},
  url     = {https://github.com/bhanneke/E2ER-project/blob/v0.16.1/skills/files/math/optimization-verification.md}
}
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Used by

Polish of the formulas
Empirical studyEmpirical study, pre-registeredEvent study in financePolicy evaluation (difference-in-differences)Time series and forecastingStaggered difference-in-differences (economics)Regression discontinuity for platform policies (information systems)Shift-share instrumental variables (economics)

Description

Data model
Discipline
Economics
Method family
not specified
Design
not specified
Research stage
Formal modeling
Authors
e2er authors (Software, Methodology)
Usage
used in 5 templates · 1 published study · loaded by 1 specialist · Examples: 7 example studies
Source
e2er repository · skills/files · @d8fd8ab
Record
skill:e2er/math/optimization-verification · JSON

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mathMIT

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Mathematical Proof Strategies

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