计算几何---清华大学邓俊辉
课程目录：├──1.1_A_1. History of This Course.mp415.03M
├──2.1_B_1. What's Computational Geometry.mp417.41M
├──3.1_C_1. How to Learn CG Better.mp422.06M
├──4.1_D_1. Why English.mp426.65M
├──5.2_A_1. Convexity.mp4101.02M
├──6.2_B_1. Extreme Points.mp494.45M
├──7.2_C_1. Extreme Edges.mp443.68M
├──8.2_D_1. Incremental Construction.mp4126.53M
├──9.2_E_1. Jarvis March.mp4133.04M
├──10.2_F_1. Lower Bound.mp4103.64M
├──11.2_G_1. Graham Scan Algorithm.mp458.95M
├──12.2_H_1. Graham Scan Example.mp446.01M
├──13.2_I_1. Graham Scan Correctness.mp464.67M
├──14.2_J_1. Graham Scan Analysis.mp4100.18M
├──15.2_K_1. Divide-And-Conquer .mp483.81M
├──16.2_L_1. Divide-And-Conquer .mp4129.91M
├──17.2_M_1. Wrap-Up.mp418.12M
├──18.3_0. Introduction.mp419.00M
├──19.3_A_1. Preliminary.mp466.87M
├──20.3_B_1. Interval Intersection Detectio.mp436.32M
├──21.3_C_1. Segment Intersection Reporting.mp442.70M
├──22.3_D_1. BO Algorithm Strategy.mp499.02M
├──23.3_E_1. BO Algorithm Implementation.mp458.36M
├──24.3_F_1. BO Algorithm Analysis.mp487.91M
├──25.3_G_1. Convex Polygon Intersection De.mp495.26M
├──26.3_H_1. Edge Chasing.mp452.07M
├──27.3_I_1. Plane Sweeping.mp421.17M
├──28.3_J_1. Halfplane Intersection Constru.mp460.84M
├──29.4_0. Methodology.mp417.13M
├──30.4_A_1. Art Gallery Problem.mp470.06M
├──31.4_B_1. Art Gallery Theorem.mp433.54M
├──32.4_C_1. Fisk's Proof.mp476.24M
├──33.4_D_1. Orthogonal Polygons.mp433.89M
├──34.4_E_1. Triangulation.mp4173.87M
├──35.4_F_1. Triangulating Monotone Polygon.mp4182.94M
├──36.4_G_1. Monotone Decomposition.mp4152.69M
├──37.4_I_1. Tetrahedralization.mp464.20M
├──38.5_A_1. Introduction.mp447.04M
├──39.5_B_1. Terminologies.mp449.61M
├──40.5_C_1. Properties.mp493.10M
├──41.5_D_1. Complexity.mp439.99M
├──42.5_E_1. Representation.mp441.95M
├──43.5_F_1. DCEL.mp486.82M
├──44.5_G_1. Hardness.mp482.06M
├──45.5_H_1. Sorted Sets.mp449.83M
├──46.5_I_1. VD_sorted.mp4106.70M
├──47.5_J_1. Naive Construction.mp421.41M
├──48.5_K_1. Incremental Construction.mp463.04M
├──49.5_L_1. Divide-And-Conquer.mp4198.08M
├──50.5_M_1. Plane-Sweep.mp4255.11M
├──51.6_A_1. Point Set Triangulation.mp4114.95M
├──52.6_B_1. Delaunay Triangulation.mp455.60M
├──53.6_C_1. Properties.mp460.07M
├──54.6_D_1. Proximity Graph.mp481.25M
├──55.6_E_1. Euclidean Minimum Spanning Tre.mp477.23M
├──56.6_F_1. Euclidean Traveling Salesman P.mp452.11M
├──57.6_G_1. Minimum Weighted Triangulation.mp440.56M
├──58.6_H_1. Construction.mp473.69M
├──59.6_I_1. RIC With Example.mp461.98M
├──60.6_J_1. Randomized Incremental Constru.mp491.51M
├──61.6_K_1. RIC Analysis.mp4157.05M
├──62.7_0. OnlineOffline Algorithms.mp410.93M
├──63.7_A_1. Introduction.mp4107.16M
├──64.7_B_1. Slab Method.mp4145.34M
├──65.7_C_1. Persistence.mp443.01M
├──66.7_D_1. Path Copying.mp447.47M
├──67.7_E_1. Node Copying.mp4104.88M
├──68.7_F_1. Limited Node Copying.mp457.04M
├──70.7_H_1. Trapezoidal Map.mp492.05M
├──71.7_I_1. Constructing Trapezoidal Map.mp4127.72M
├──72.7_J_1. Performance Of Trapezoidal Map.mp4189.56M
├──73.8_A_1. Range Query.mp4108.95M
├──74.8_B_1. BBST.mp491.59M
├──75.8_C_1. kd-Tree Structure.mp4125.65M
├──76.8_D_1. kd-Tree Algorithm.mp4100.91M
├──77.8_E_1. kd-Tree Performance.mp473.52M
├──78.8_F_1. Range Tree Structure.mp461.37M
├──79.8_G_1. Range Tree Query.mp483.15M
├──80.8_H_1. Range Tree Performance.mp477.03M
├──81.8_I_1. Range Tree Optimization.mp4115.73M
├──82.9_A_1. Orthogonal Windowing Query.mp436.54M
├──83.9_B_1. Stabbing Query.mp446.81M
├──84.9_C_1. Interval Tree Construction.mp475.06M
├──85.9_D_1. Interval Tree Query.mp475.59M
├──86.9_E_1. Stabbing With A Segment.mp4101.36M
├──87.9_F_1. Grounded Range Query.mp455.64M
├──88.9_G_1. 1D-GRQ Using Heap.mp4101.62M
├──89.9_H_1. Priority Search Tree.mp468.52M
├──90.9_I_1. 2D-GRQ Using PST.mp4154.94M
├──91.9_J_1. Segment Tree.mp4298.28M
└──92.9_K_1. Vertical Segment Stabbing Quer.mp453.22M
**** Hidden Message *****
66666666666666666666 看一下这个完不完整, 感谢 6666666666666666666666 这个说的是啥？有什么好处？ 几何---清华大学邓俊辉 谢谢分享。。。。。。 RE: 计算几何---清华大学邓俊辉 [修改]
计算几何---清华大学邓俊辉 新春歌友烩