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Chapter 1 – Introduction
Chapter 1 – Introduction
by debby-jeon
Chapter. . Goals. To . learn . about computers a...
The Beauty and Joy of Computing
The Beauty and Joy of Computing
by celsa-spraggs
Lecture #23. Limits of Computing. 4.74 degrees of...
Greedy Algorithms: Celebration Party
Greedy Algorithms: Celebration Party
by briana-ranney
http://iti.wtf. Algorithms and Data Structures . ...
Implementing a Graph Implement a graph in three ways:
Implementing a Graph Implement a graph in three ways:
by stefany-barnette
Adjacency List. Adjacency-Matrix. Pointers/memory...
Computational Complexity and the limits of computation
Computational Complexity and the limits of computation
by tatiana-dople
Today’s class. 1) Lecture. 2) . Blackbox. pres...
Linear Algebra Primer Professor
Linear Algebra Primer Professor
by min-jolicoeur
Fei-Fei. Li. Stanford Vision Lab. 23-Sep-14. 1. ...
Dynamic and Online Algorithms
Dynamic and Online Algorithms
by trish-goza
for Set Cover. Anupam Gupta. Carnegie Mellon Univ...
Chapter 9 Shortest Paths and
Chapter 9 Shortest Paths and
by briana-ranney
Discrete Dynamic Programming. Example 9.1 . Littl...
CSCI 5822 Probabilistic Models of
CSCI 5822 Probabilistic Models of
by min-jolicoeur
Human and Machine Learning. Mike . Mozer. Departm...
Evolving Ants Enrique Areyan
Evolving Ants Enrique Areyan
by natalia-silvester
School of Informatics and Computing. Indiana Univ...
Factor Graphs and the Sum-Product Algorithm
Factor Graphs and the Sum-Product Algorithm
by aaron
Raviteja Ganireddy. Shuaifang Zhang. Yashashvini ...
Chapter 3 Heuristic Search
Chapter 3 Heuristic Search
by luanne-stotts
Continued. Before we continue. Breadth-First. Dep...
Fundamentals of MapReduce
Fundamentals of MapReduce
by ellena-manuel
Jimmy Lin. The iSchool. University of Maryland. M...
Lecture 2: Concrete Models and Tight Upper and Lower Bounds
Lecture 2: Concrete Models and Tight Upper and Lower Bounds
by yoshiko-marsland
David Woodruff. Carnegie Mellon University. Theme...
Machine Learning, Data Science and Decision Lab
Machine Learning, Data Science and Decision Lab
by danika-pritchard
. August, . 2018. Structured Learning & Deci...
CSC317 1 Shortest path
CSC317 1 Shortest path
by danika-pritchard
algorithms. So far we only looked at . unweighted...
Lecture 17 CS2110 GRAPHS
Lecture 17 CS2110 GRAPHS
by giovanna-bartolotta
Announcements. A5 Heaps Due October 27. Prelim 2 ...
Lecture 9 Announcements Platformer2
Lecture 9 Announcements Platformer2
by alexa-scheidler
Primary and Secondary Requirements due tomorrow (...
Agenda Blog signup… First week impressions
Agenda Blog signup… First week impressions
by min-jolicoeur
High School vs. University... Career Night. Sep 1...
Energy, Energy, Energy Worldwide efforts to reduce energy consumption
Energy, Energy, Energy Worldwide efforts to reduce energy consumption
by debby-jeon
People can conserve. Large percentage savings po...
Graph Clustering Why graph clustering is useful?
Graph Clustering Why graph clustering is useful?
by tatyana-admore
Distance matrices are graphs .  as useful as a...
Clustering: Partition Clustering
Clustering: Partition Clustering
by natalia-silvester
Lecture outline. Distance/Similarity between data...
Distributed Quality-of-Service Routing of Best Constrained Shortest Paths.
Distributed Quality-of-Service Routing of Best Constrained Shortest Paths.
by pamella-moone
Abdelhamid. MELLOUK, Said HOCEINI, . Farid. BAG...
COSC 3100 Decrease and Conquer
COSC 3100 Decrease and Conquer
by alida-meadow
Instructor: . Tanvir. Decrease and Conquer. Explo...
CS2210:0001Discrete Structures
CS2210:0001Discrete Structures
by trish-goza
Induction and Recursion. Fall . 2018. Sukumar Gho...
Minimum Spanning Trees CSE
Minimum Spanning Trees CSE
by ellena-manuel
2320 – Algorithms and Data Structures. Vassilis...
2.7.6 Conjugate Gradient Method for a Sparse System
2.7.6 Conjugate Gradient Method for a Sparse System
by kittie-lecroy
Shi & Bo. What is sparse system. A system of ...
D* Lite and Dynamic pathfinding
D* Lite and Dynamic pathfinding
by yoshiko-marsland
Adrian Sotelo. CS582. Spring 2009 Digipen Institu...
Python Programming, 3/e 1
Python Programming, 3/e 1
by kittie-lecroy
Python Programming:. An Introduction to. Computer...
The Algebra of Encryption
The Algebra of Encryption
by cheryl-pisano
CS 6910 Semester Research and Project. University...
2IMG15 Algorithms for Geographic Data
2IMG15 Algorithms for Geographic Data
by ellena-manuel
Fall 2017. Lecture . 3: . Simplification. Problem...
Reading: Ch. 5, Jurafsky
Reading: Ch. 5, Jurafsky
by aaron
& Martin (Ch. 9 3. rd. . Edition). PI Disclo...
Big-O Analysis Measuring Complexity
Big-O Analysis Measuring Complexity
by briana-ranney
What is the best way to measure the time complexi...
C&O 750 Randomized Algorithms
C&O 750 Randomized Algorithms
by luanne-stotts
Winter 2011. Lecture 24. Nicholas Harvey. TexPoin...
Data-Intensive Computing
Data-Intensive Computing
by test
with MapReduce. Jimmy Lin. University of Maryland...
MARKET BASKET ANALYSIS, FREQUENT ITEMSETS,
MARKET BASKET ANALYSIS, FREQUENT ITEMSETS,
by celsa-spraggs
ASSOCIATION RULES,. APRIORI ALGORITHM,. OTHER ALG...
Frequent Itemsets The Market-Basket Model
Frequent Itemsets The Market-Basket Model
by alida-meadow
Association Rules. A-Priori Algorithm. Other Algo...
Maximum Matching in the Online Batch-Arrival Model
Maximum Matching in the Online Batch-Arrival Model
by ellena-manuel
Sahil. . Singla. . (Carnegie Mellon University)...
Bruce Mayer, PE Registered Electrical & Mechanical Engineer
Bruce Mayer, PE Registered Electrical & Mechanical Engineer
by briana-ranney
BMayer@ChabotCollege.edu. Engr/Math/Physics 25. C...
Paxos A Consensus Algorithm for
Paxos A Consensus Algorithm for
by briana-ranney
Fault Tolerant Replication. CS 5204 – Fall, 200...