课程信息
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第 5 门课程(共 6 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

高级

完成时间大约为23 小时

建议:4 weeks of study, 4-8 hours/week...

英语(English)

字幕:英语(English)
User
学习Course的学生是
  • Machine Learning Engineers
  • Data Scientists
  • Software Engineers
  • Traders
  • Data Engineers

您将获得的技能

Python ProgrammingLinear Programming (LP)Np-CompletenessDynamic Programming
User
学习Course的学生是
  • Machine Learning Engineers
  • Data Scientists
  • Software Engineers
  • Traders
  • Data Engineers

第 5 门课程(共 6 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

高级

完成时间大约为23 小时

建议:4 weeks of study, 4-8 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 5 小时

Flows in Networks

9 个视频 (总计 72 分钟), 3 个阅读材料, 2 个测验
9 个视频
Network Flows9分钟
Residual Networks10分钟
Maxflow-Mincut7分钟
The Ford–Fulkerson Algorithm7分钟
Slow Example3分钟
The Edmonds–Karp Algorithm11分钟
Bipartite Matching11分钟
Image Segmentation7分钟
3 个阅读材料
Slides and Resources on Flows in Networks10分钟
Available Programming Languages10分钟
FAQ on Programming Assignments10分钟
1 个练习
Flow Algorithms10分钟
2
完成时间为 5 小时

Linear Programming

10 个视频 (总计 84 分钟), 1 个阅读材料, 2 个测验
10 个视频
Linear Programming8分钟
Linear Algebra: Method of Substitution5分钟
Linear Algebra: Gaussian Elimination10分钟
Convexity9分钟
Duality12分钟
(Optional) Duality Proofs7分钟
Linear Programming Formulations8分钟
The Simplex Algorithm10分钟
(Optional) The Ellipsoid Algorithm6分钟
1 个阅读材料
Slides and Resources on Linear Programming10分钟
1 个练习
Linear Programming Quiz10分钟
3
完成时间为 6 小时

NP-complete Problems

16 个视频 (总计 115 分钟), 2 个阅读材料, 2 个测验
16 个视频
Search Problems9分钟
Traveling Salesman Problem7分钟
Hamiltonian Cycle Problem8分钟
Longest Path Problem1分钟
Integer Linear Programming Problem3分钟
Independent Set Problem3分钟
P and NP4分钟
Reductions5分钟
Showing NP-completeness6分钟
Independent Set to Vertex Cover5分钟
3-SAT to Independent Set14分钟
SAT to 3-SAT7分钟
Circuit SAT to SAT12分钟
All of NP to Circuit SAT5分钟
Using SAT-solvers14分钟
2 个阅读材料
Slides and Resources on NP-complete Problems10分钟
Minisat Installation Guide10分钟
1 个练习
NP-complete Problems12分钟
4
完成时间为 5 小时

Coping with NP-completeness

11 个视频 (总计 119 分钟), 1 个阅读材料, 2 个测验
11 个视频
2-SAT10分钟
2-SAT: Algorithm12分钟
Independent Sets in Trees14分钟
3-SAT: Backtracking11分钟
3-SAT: Local Search12分钟
TSP: Dynamic Programming15分钟
TSP: Branch and Bound9分钟
Vertex Cover9分钟
Metric TSP12分钟
TSP: Local Search6分钟
1 个阅读材料
Slides and Resources on Coping with NP-completeness10分钟
1 个练习
Coping with NP-completeness6分钟
4.6
75 个审阅Chevron Right

29%

完成这些课程后已开始新的职业生涯

50%

通过此课程获得实实在在的工作福利

25%

加薪或升职

来自Advanced Algorithms and Complexity的热门评论

创建者 EMJan 4th 2018

As usual, complex arguments explained in simple terms!\n\nSome problems are really tough! (e.g. there's a problem from Google Code Jam).\n\nThank you for this course!

创建者 CSAug 26th 2019

Very Very Challenging Course , it test your patience and rewards is extremely satisfying. Lot of learning on a complicated subject of NP-Hard problems.

讲师

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Alexander S. Kulikov

Visiting Professor
Department of Computer Science and Engineering
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Michael Levin

Lecturer
Computer Science
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Daniel M Kane

Assistant Professor
Department of Computer Science and Engineering / Department of Mathematics
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Neil Rhodes

Adjunct Faculty
Computer Science and Engineering

关于 加州大学圣地亚哥分校

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

关于 国立高等经济大学

National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communicamathematics, engineering, and more. Learn more on www.hse.ru...

关于 数据结构与算法 专项课程

This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine....
数据结构与算法

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