[action-translation] resync: ifp_egm.md#170
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✅ Translation Quality ReviewVerdict: PASS | Model: claude-sonnet-5 | Date: 2026-07-18 📝 Translation Quality
Summary: This is a high-quality, comprehensive translation that accurately conveys the technical content of the income fluctuation problem lecture using the endogenous grid method. Mathematical formulations, code implementations, and economic concepts are rendered faithfully and fluently in Simplified Chinese, with consistent terminology aligned to the established glossary. No critical syntax errors were found. Minor points worth verifying include the added 'intermediate:' prefixes in cross-document references, which appear to be intentional additions for the documentation system rather than translation errors. Mathematical notation and LaTeX equations are preserved accurately throughout, including complex expressions in eqst, eqeul1, cfequ, and eqtv Technical terminology from the glossary is applied consistently, e.g., '欧拉方程' for Euler equation, '贴现因子' for discount factor, '状态空间' for state space, '平稳分布' for stationary distribution Code blocks are fully preserved with accurate translation of Python docstrings and comments, maintaining functional correctness The translation naturally handles complex economic/mathematical exposition, particularly in the EGM algorithm explanation and Euler equation derivations Heading structure and hierarchy are properly maintained with correct MyST directive syntax throughout Suggestions:
🔍 Diff Quality
Summary: The target document was correctly resynced to match the new source content (EGM lecture) with proper section ordering, structure, and a comprehensive translation heading map using double-colon notation to disambiguate repeated headings like 'Set Up' and 'Solver'. This review was generated automatically by action-translation review mode. |
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Pull request overview
This PR forward-resyncs the Chinese translation of lectures/ifp_egm.md to match the upstream English source lecture on solving the Income Fluctuation Problem via the Endogenous Grid Method (EGM), including both NumPy and JAX implementations, and updates translation sync state metadata.
Changes:
- Replaced the prior lecture content with a full resynced EGM-based IFP lecture (model setup, EGM operator, NumPy + JAX code paths, simulation).
- Added/updated translation frontmatter (title + heading mappings) and adjusted narrative/notation to the source’s structure.
- Added translation sync state file recording the source commit and resync metadata.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 11 comments.
| File | Description |
|---|---|
| lectures/ifp_egm.md | Full resync of the lecture content to the EGM-based IFP (NumPy/JAX implementations + discussion). |
| .translate/state/ifp_egm.md.yml | Records resync metadata (source SHA, date, model, mode). |
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| return (1 - β ** (1/γ)) * x | ||
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| def create_ifp(r=0.01, | ||
| β=0.94, |
| c_in: np.ndarray, # σ在内生网格上的初始猜测 | ||
| a_in: np.ndarray, # 初始内生网格 | ||
| ifp_numpy: IFPNumPy | ||
| ) -> np.ndarray: |
| a_init: np.ndarray, | ||
| tol: float = 1e-5, | ||
| max_iter: int = 1_000 | ||
| ) -> np.ndarray: |
| c_in: jnp.ndarray, | ||
| a_in: jnp.ndarray, | ||
| ifp: IFP | ||
| ) -> jnp.ndarray: |
| 此外，以离散化为目标并不总是一个好主意，因为 | ||
| 它深受维度诅咒之苦。 | ||
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| 这些想法将在{doc}`下一讲 <ifp_egm_transient_shocks>`中变得更加清晰。 |
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| return (1 - β ** (1/γ)) * x | ||
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| def create_ifp(r=0.01, |
| * {doc}`ifp_discrete` 和 | ||
| * {doc}`ifp_opi`。 |
| 2. 使用内生网格法（EGM）来求解模型。 | ||
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| 它与{doc}`随机最优增长模型 <optgrowth>`中的决策问题相关，但在一些重要方面有所不同。 | ||
| 我们之所以使用 EGM，是因为我们从 {doc}`os_egm_jax` 中已经知道它既快速又精确。 |
| * {doc}`os_time_iter` | ||
| * {doc}`os_egm` |
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
These {doc} targets exist only in lecture-python.myst until Phase 2
translates them; qualifying with the intermediate: intersphinx prefix
gives working links now, and a future resync restores local refs once
the targets exist. Program decision recorded 2026-07-18 (Matt).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Forward Resync: ifp_egm.md
Source: QuantEcon/lecture-python.myst — lectures/ifp_egm.md
Source commit:
0bfcac8This PR resyncs the translation to match the current source document.
Reason: The TARGET is an entirely different lecture (basic income fluctuation problem with time iteration/Coleman-Reffett operator, brentq root-finding, jitclass IFP, exercises on interest rates, cake-eating, asset stationary distribution via MarkovChain simulation) rather than a translation of the SOURCE (which covers the Endogenous Grid Method with JAX/NumPy implementations, timing comparisons, EGM operator, simulate_household with JAX vmap). TARGET contains substantial unique content (exercises, solutions, jitclass code, brentq-based Euler equation solver, different model setup with y as direct income values) not present in SOURCE, while SOURCE's JAX-specific content (JAX implementation, timing benchmarks, EGM K operator, simulation via jax.lax.fori_loop) is missing from TARGET. This is a case of both missing content and substantial additions, with additions dominating.
Changes
Whole-file resync applied. The entire document was resynced in a single pass.
Created by action-translation forward resync