2 項進行中

115-1 選課時程

進行中

  • 初選第一階段 6/15 – 6/18
  • 初選第二階段 6/22 – 6/25
  • 校際選修 進行中 8/24 – 9/18
  • 初選第三階段 8/31 – 9/3
  • 開學後加退選 進行中 9/7 – 9/21
  • 逾期加退選 9/21 – 9/24
選課資源

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近似演算法

Introduction to Approximation Algorithms

學期
113-1
學分
0 學分
當期課號
535507
永久課號
CSIC30148
開課單位
資訊科學與工程研究所
授課教師
高孟駿
校區
光復
類別
選修
上課時間表
週五
5
13:20–14:10
近似演算法
EC016(光復)
2 節連堂
6
14:20–15:10

* 根據陽明交大上課時間表所列

概述

This course aims to provide a technique-oriented introduction on the versatile approximation algorithms for various categories of NP-hard problems. We will cover the basic algorithm design & analysis techniques and use specific problems and algorithms as examples. The students are expected to acquire a deeper understanding via group presentations on classic research papers. The problems that may arise in this course include the following: • Cover Problems - Vertex Cover / Dominating Set / Set Cover • Location / Clustering Problems - k-Center, k-Median, Facility Location • Packing / Scheduling Problems - Knapsack, Bin Packing, Unrelated / Identical Machine Scheduling • Flow / Cut / Routing Problems - Max Cut, Multiway Cut, Multi-Cut / Multi-Commodity Flow • Network Design Problems - Steiner Tree / Forest, Steiner Network Problem (Survival Network Design) • Tour Problems - Traveling Salesman Problem (TSP) Course Website: https://sites.google.com/nycu.edu.tw/113-1-approx

先修科目

Linear Algebra, Probability, Algorithms

備註

無備註

教學方式

教師未提供此項資料

評分方式

Handwritten Homework: 30% Final Exam: 30% Book Chapter Report and Presentation: 20% Paper Presentation: 20%

課程大綱

教師未提供此項資料

週次計畫
週次主題
第 1 週

Introduction, The vertex cover problem and a 2-approximation, The set cover problem and an Hn-approximation

2024-09-06(五)
第 2 週

Approximation Schemes, FPTAS for the Knapsack Problem, Existence of FPTAS, PTAS for Scheduling on Identical Parallel Machines

2024-09-13(五)
第 3 週

Approximate-or-Refute and Parametric Search, The k-center problem and a 2-approximation

2024-09-20(五)
第 4 週

(MST-based algorithms) Steiner Tree Problem and a 2-approximation, Traveling Salesman Problem (TSP) and a 3/2-approximation, The Minimum Cycle Cover Problem

2024-09-27(五)
第 5 週

TBA

2024-10-04(五)
第 6 週

Introduction to LP-based Methods, Basic Threshold rounding, Randomized Rounding

2024-10-11(五)
第 7 週

Linear Programming Duality, The Weak Duality Theorem and Complementary Slackness, The Dual-Fitting scheme

2024-10-18(五)
第 8 週

Extreme Point Structure of Linear Polytopes, Half-integrality of vertex cover, Unrelated machine scheduling and a 2-approximation

2024-10-25(五)
第 9 週

The Iterative Rounding Technique, The Steiner Forest Problem and a 2-approximation, The Steiner Network Problem (Survival Network Design) and a 2-approximation

2024-11-01(五)
第 10 週

The Lift-and-Project Method and LP Hierarchies

2024-11-08(五)
第 11 週

Semidefinite Programming (SDP), The max-cut problem and a 0.878-approximation

2024-11-15(五)
第 12 週

The Hardness of Approximation Hardness via NP-hard reduction, The PCP theorem & The Unique Game Conjecture

2024-11-22(五)
第 13 週

(Supplements)Fundamental Theorem for Linear Inequalities,Strong LP Duality

2024-11-29(五)
第 14 週

Final Exam

2024-12-06(五)
第 15 週

Group presentation

2024-12-13(五)
第 16 週

Group presentation

2024-12-20(五)
教科書

1. Approximation Algorithms, by Vijay Vazirani, Springer-Verlag, 2004. 2. The Design of Approximation Algorithms, by David Williamson and David Shmoys, Cambridge, 2012.

Office Hours
地點
教師未提供此項資料
時間
By appointment
聯絡方式
mjkao@nycu.edu.tw