Fe chh v2

.gitignore

@@ -8,6 +8,7 @@ third_party/*
 .venvs/
 __pycache__/
 .pytest_cache/
+**/temp/
 runs/
 runs_old/
 runs_old_2/

TASK_DETAILS.md

@@ -21,14 +21,18 @@ We welcome new engineering problem ideas — even without complete verification
       <td>Maximize CRTBP lunar payload under trajectory and dynamics constraints (Octave validated)</td>
     </tr>
     <tr>
-      <td rowspan="2"><b>ParticlePhysics</b></td>
+      <td rowspan="3"><b>ParticlePhysics</b></td>
       <td><code>MuonTomography</code></td>
       <td>Muon detector placement optimization under flux, budget, and excavation constraints</td>
     </tr>
     <tr>
       <td><code>ProtonTherapyPlanning</code></td>
       <td>IMPT dose weight optimization under tumor coverage, OAR safety, and beam cost constraints</td>
     </tr>
+    <tr>
+      <td><code>PETScannerOptimization</code></td>
+      <td>PET detector ring geometry optimization under sensitivity, parallax, and crystal-volume budget trade-offs</td>
+    </tr>
     <tr>
       <td rowspan="3"><b>KernelEngineering</b></td>
       <td><code>MLA</code></td>
@@ -204,14 +208,26 @@ We welcome new engineering problem ideas — even without complete verification
       <td>Polarization-multiplexed holography</td>
     </tr>
     <tr>
-      <td rowspan="2"><b>ComputerSystems</b></td>
+      <td rowspan="5"><b>ComputerSystems</b></td>
       <td><code>MallocLab</code></td>
       <td>High-performance C memory allocator (utilization &amp; throughput)</td>
     </tr>
     <tr>
       <td><code>DuckDBWorkloadOptimization</code></td>
       <td>Index / materialized-view selection and query rewriting on official DuckDB workloads</td>
     </tr>
+    <tr>
+      <td><code>DuckDBIndexSelection</code></td>
+      <td>Whitelist index selection for a family of analytical DuckDB workloads</td>
+    </tr>
+    <tr>
+      <td><code>DuckDBPreAggregationSelection</code></td>
+      <td>Whitelist pre-aggregation selection for a family of analytical DuckDB reporting workloads</td>
+    </tr>
+    <tr>
+      <td><code>DuckDBQueryRewrite</code></td>
+      <td>Semantics-preserving SQL rewrite across a family of analytical DuckDB queries</td>
+    </tr>
     <tr>
       <td><b>EngDesign</b></td>
       <td><code>CY_03, WJ_01, XY_05, AM_02, AM_03, YJ_02, YJ_03</code></td>
@@ -251,6 +267,19 @@ We welcome new engineering problem ideas — even without complete verification
       <td><code>discrete_rebalance_mip</code></td>
       <td>Discrete lot-constrained rebalancing with mixed-integer optimization</td>
     </tr>
+    <tr>
+      <td rowspan="3"><b>MaterialEngineering</b></td>
+      <td><code>MicrowaveAbsorberDesign</code></td>
+      <td>Single-layer X-band microwave absorber optimization under bandwidth, reflection-loss, density, and cost trade-offs</td>
+    </tr>
+    <tr>
+      <td><code>LightweightBroadbandAbsorber</code></td>
+      <td>Lightweight broadband absorber optimization with a minimum effective-bandwidth hard constraint</td>
+    </tr>
+    <tr>
+      <td><code>NanoCarbonAbsorberOptimization</code></td>
+      <td>Mixed-variable nano-carbon absorber optimization over material type, carbon content, and thickness</td>
+    </tr>
     <tr>
       <td rowspan="7"><b>JobShop</b></td>
       <td><code>abz</code></td>
@@ -298,7 +327,16 @@ We welcome new engineering problem ideas — even without complete verification
       <td>pyMOTO-based 2D beam topology optimization (SIMP + OC/MMA) under a volume-fraction constraint</td>
     </tr>
     <tr>
-      <td rowspan="6"><b>Robotics</b></td>
+      <td rowspan="2"><b>OperationsResearch</b></td>
+      <td><code>DynamicCurrentMinimumTimeRouting</code></td>
+      <td>Constrained minimum-time ship routing over coastal grids with currents and draft limits</td>
+    </tr>
+    <tr>
+      <td><code>FuelMinimizingShipWeatherRouting</code></td>
+      <td>Fuel-minimizing ship weather routing over coastal grids with arrival-time constraints</td>
+    </tr>
+    <tr>
+      <td rowspan="9"><b>Robotics</b></td>
       <td><code>DynamicObstacleAvoidanceNavigation</code></td>
       <td>Navigate a differential-drive robot from start to goal in a dynamic environment</td>
     </tr>
@@ -322,6 +360,18 @@ We welcome new engineering problem ideas — even without complete verification
       <td><code>CoFlyersVasarhelyiTuning</code></td>
       <td>Tune the Vasarhelyi flocking parameters for the CoFlyers swarm system</td>
     </tr>
+    <tr>
+      <td><code>GridPathPlanningWithObstacles</code></td>
+      <td>Single-robot collision-free path planning across a family of obstacle grids</td>
+    </tr>
+    <tr>
+      <td><code>MultiRobotPrioritizedPlanning</code></td>
+      <td>Prioritized multi-robot path planning across a family of grid MAPF cases</td>
+    </tr>
+    <tr>
+      <td><code>NarrowPassagePlanning</code></td>
+      <td>Single-robot path planning across a family of narrow-passage bottleneck grids</td>
+    </tr>
     <tr>
       <td rowspan="2"><b>Aerodynamics</b></td>
       <td><code>CarAerodynamicsSensing</code></td>

TASK_DETAILS_zh-CN.md

@@ -21,14 +21,18 @@ Frontier-Eng 目前已覆盖以下领域的任务。每个任务均配有可运
       <td>在 CRTBP 轨道约束下最大化月球着陆载荷（Octave 验证）</td>
     </tr>
     <tr>
-      <td rowspan="2"><b>ParticlePhysics</b></td>
+      <td rowspan="3"><b>ParticlePhysics</b></td>
       <td><code>MuonTomography</code></td>
       <td>在缪子通量、预算与开挖约束下优化探测器布局</td>
     </tr>
     <tr>
       <td><code>ProtonTherapyPlanning</code></td>
       <td>在肿瘤覆盖、危及器官保护与束流成本约束下优化 IMPT 剂量权重</td>
     </tr>
+    <tr>
+      <td><code>PETScannerOptimization</code></td>
+      <td>在灵敏度、视差误差与晶体体积预算约束下优化 PET 探测环几何参数</td>
+    </tr>
     <tr>
       <td rowspan="3"><b>KernelEngineering</b></td>
       <td><code>MLA</code></td>
@@ -204,14 +208,26 @@ Frontier-Eng 目前已覆盖以下领域的任务。每个任务均配有可运
       <td>偏振复用全息</td>
     </tr>
     <tr>
-      <td rowspan="2"><b>ComputerSystems</b></td>
+      <td rowspan="5"><b>ComputerSystems</b></td>
       <td><code>MallocLab</code></td>
       <td>高性能 C 动态内存分配器（utilization &amp; throughput）</td>
     </tr>
     <tr>
       <td><code>DuckDBWorkloadOptimization</code></td>
       <td>基于 DuckDB 官方 workload 的索引 / 物化视图选择与查询改写</td>
     </tr>
+    <tr>
+      <td><code>DuckDBIndexSelection</code></td>
+      <td>面向一组分析型 DuckDB workload 的白名单索引选择</td>
+    </tr>
+    <tr>
+      <td><code>DuckDBPreAggregationSelection</code></td>
+      <td>面向一组分析型 DuckDB 报表 workload 的白名单预聚合选择</td>
+    </tr>
+    <tr>
+      <td><code>DuckDBQueryRewrite</code></td>
+      <td>面向一组分析型 DuckDB 查询的语义等价 SQL 改写</td>
+    </tr>
     <tr>
       <td><b>EngDesign</b></td>
       <td><code>CY_03, WJ_01, XY_05, AM_02, AM_03, YJ_02, YJ_03</code></td>
@@ -251,6 +267,19 @@ Frontier-Eng 目前已覆盖以下领域的任务。每个任务均配有可运
       <td><code>discrete_rebalance_mip</code></td>
       <td>带整数手数约束的离散再平衡混合整数优化</td>
     </tr>
+    <tr>
+      <td rowspan="3"><b>MaterialEngineering</b></td>
+      <td><code>MicrowaveAbsorberDesign</code></td>
+      <td>在带宽、反射损耗、密度与成本之间折中的单层 X 波段吸波材料优化</td>
+    </tr>
+    <tr>
+      <td><code>LightweightBroadbandAbsorber</code></td>
+      <td>带最小有效带宽硬约束的轻量宽带吸波材料优化</td>
+    </tr>
+    <tr>
+      <td><code>NanoCarbonAbsorberOptimization</code></td>
+      <td>联合优化材料类型、碳含量与厚度的混合变量纳米碳吸波材料任务</td>
+    </tr>
     <tr>
       <td rowspan="7"><b>JobShop</b></td>
       <td><code>abz</code></td>
@@ -298,7 +327,16 @@ Frontier-Eng 目前已覆盖以下领域的任务。每个任务均配有可运
       <td>基于 pyMOTO 的 2D 梁拓扑优化（SIMP + OC/MMA），体积分数约束</td>
     </tr>
     <tr>
-      <td rowspan="6"><b>Robotics</b></td>
+      <td rowspan="2"><b>OperationsResearch</b></td>
+      <td><code>DynamicCurrentMinimumTimeRouting</code></td>
+      <td>在流场与吃水约束下进行沿海栅格最短航时船舶路径规划</td>
+    </tr>
+    <tr>
+      <td><code>FuelMinimizingShipWeatherRouting</code></td>
+      <td>在到达时限约束下进行沿海栅格最小燃料天气航线规划</td>
+    </tr>
+    <tr>
+      <td rowspan="9"><b>Robotics</b></td>
       <td><code>DynamicObstacleAvoidanceNavigation</code></td>
       <td>在动态环境中控制差分轮机器人从起点到终点</td>
     </tr>
@@ -322,6 +360,18 @@ Frontier-Eng 目前已覆盖以下领域的任务。每个任务均配有可运
       <td><code>CoFlyersVasarhelyiTuning</code></td>
       <td>调优 CoFlyers 群飞系统的 Vasarhelyi 参数</td>
     </tr>
+    <tr>
+      <td><code>GridPathPlanningWithObstacles</code></td>
+      <td>面向一组障碍栅格的单机器人无碰撞路径规划</td>
+    </tr>
+    <tr>
+      <td><code>MultiRobotPrioritizedPlanning</code></td>
+      <td>面向一组栅格 MAPF case 的多机器人优先级路径规划</td>
+    </tr>
+    <tr>
+      <td><code>NarrowPassagePlanning</code></td>
+      <td>面向一组窄通道瓶颈栅格的单机器人路径规划</td>
+    </tr>
     <tr>
       <td rowspan="2"><b>Aerodynamics</b></td>
       <td><code>CarAerodynamicsSensing</code></td>

benchmarks/CommunicationEngineering/LDPCErrorFloor/baseline/solution.py

@@ -24,8 +24,9 @@ class TrappingSetSampler(BiasedVarianceSampler):
     """
 
     def __init__(self, code, *, seed: int = 0):
-        # Use bias_factor=1.5 to increase noise by 50%
-        super().__init__(code, seed=seed, bias_factor=1.5)
+        # Use a moderate variance bias that remains valid when the evaluator
+        # independently recomputes weights and decoding outcomes.
+        super().__init__(code, seed=seed, bias_factor=1.0)
         self.rng = Generator(Philox(seed))
 
     def simulate_variance_controlled(
@@ -59,4 +60,3 @@ def simulate_variance_controlled(
     result = sampler.simulate_variance_controlled(code=code)
     print(result)
 
-

benchmarks/CommunicationEngineering/LDPCErrorFloor/scripts/init.py

@@ -46,8 +46,9 @@ class TrappingSetSampler(BiasedVarianceSampler):
     """
 
     def __init__(self, code, *, seed: int = 0):
-        # Use bias_factor=1.5 to increase noise by 50%
-        super().__init__(code, seed=seed, bias_factor=1.5)
+        # Use a moderate variance bias that remains valid when the evaluator
+        # independently recomputes weights and decoding outcomes.
+        super().__init__(code, seed=seed, bias_factor=1.0)
         self.rng = Generator(Philox(seed))
 
     def simulate_variance_controlled(