Introduction to Algorithms UVa Collections

發表於 2021-03-03 文章字數 1.2k 字 所需閱讀時間 1 分鐘
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# Dynamic programming

UVa 10337 - Flight Planner
UVa 10721 - Bar Codes
UVa 10943 - How do you add


UVa 10003 - Cutting Sticks
UVa 10912 - Simple Minded Hashing
UVa 11420 - Chest of Drawers

# Dynamic programming (Longest Increasing Subsequence)

UVa 481 - What Goes Up
UVa 11456 - Trainsorting
UVa 11790 - Murcia's Skyline
UVa 10534 - Wavio Sequence

# Dynamic programming (0-1 Knapsack)

UVa 1213 - Sum of Different Primes
UVa 10616 - Divisible Group Sums
UVa 11566 - Let's Yum Cha

# Dynamic programming (Max 2D/3D Range Sum)

UVa 10827 - Maximum sum on a torus
UVa 11951 - Area
UVa 10755 - Garbage Heap

# Dynamic programming (Floyd Warshall’s Algorithm)

UVa 821 - Page Hopping
UVa 10171 - Meeting Prof. Miguel
UVa 11463 - Commandos

# Dynamic programming (Coin Change)

UVa 357 - Let Me Count The Ways
UVa 10306 - e-Coins
UVa 11517 - Exact Change

# Maximum flow

UVa 820 - Internet Bandwidth
UVa 11418 - Clever Naming Patterns
UVa 12873 - The Programmers

# Maximum flow

UVa 10330 - Power Transmission
UVa 11380 - Down Went The Titanic
UVa 11506 - Angry Programmer
UVa 12125 - March of the Penguins

# Computational Geometry (Convex Hull)

UVa 681 - Convex Hull Finding
UVa 1206 - Boundary Points
UVa 11096 - Nails

# Computational Geometry (Closest Pair problem)

UVa 10245 - The Closest Pair Problem
UVa 11378 - Bey Battle

# Minimum cost Maximum flow

UVa 10594 - Data Flow
UVa 10806 - Dijkstra, Dijkstra
UVa 10888 - Warehouse

C++ UVa
更新於 2021-06-16
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上一篇 Uva Problems

UVa 11420 - Chest of Drawers

下一篇 Uva Problems

UVa 11456 - Trainsorting

  1. 1. Dynamic programming
  2. 2. Dynamic programming (Longest Increasing Subsequence)
  3. 3. Dynamic programming (0-1 Knapsack)
  4. 4. Dynamic programming (Max 2D/3D Range Sum)
  5. 5. Dynamic programming (Floyd Warshall’s Algorithm)
  6. 6. Dynamic programming (Coin Change)
  7. 7. Maximum flow
  8. 8. Maximum flow
  9. 9. Computational Geometry (Convex Hull)
  10. 10. Computational Geometry (Closest Pair problem)
  11. 11. Minimum cost Maximum flow
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