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Home
United States of America (USA)
Louisiana State University (LSU) - System Office
Prof. B. Karki
Louisiana State University (LSU) - System Office
Prof. B. Karki
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Prof. B. Karki
The content listed below has not been created by Prof. B. Karki
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Overview
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This professor on Docsity
27
Documents
Exams
Subjects
Computer Science
Documents
Lecture Slides on Graphs - Advance Data Structure | CSC 3102
Lecture Notes on Algorithms Basics | CSC 3102
Recursive Algorithm - Advance Data Structures | CSC 3102
Algorithm Basics, Fundamental Data Structures - Midterm Exam | CSC 3102
Decrease-and-Conquer Algorithms - Prof. B. Karki
CSC 3102 Programming Assignment 4: Exploring Graph Functions - Prof. B. Karki
Algorithm Design Techniques - Advanced Data Structures | CSC 3102
Lecture Slides on B-Trees - Advanced Data Structures | CSC 3102
Decrease-and-Conquer Algorithms: An Overview - Prof. B. Karki
Lecture Slides on Notion of Algorithm - Advanced Data Structures | CSC 3102
Advanced Data Structures and Algorithm Analysis - CSC 3102 by B.B. Karki, LSU - Prof. B. K
Space and Time Tradeoffs - Advanced Data Structures - Slides | CSC 3102
Gaussian Elimination and Heaps: Algorithm Design Techniques by B.B. Karki - Prof. B. Karki
Convex Hull Problems - Programming Assignment 3 | CSC 3102
Coping with the Limitations of Algorithm Power | CSC 3102
Sparse Matrix Transpose – Programming Assignment 1 | CSC 3102
Lecture Slides on Divide and Conquer - Advanced Data Structures | CSC 3102
Balanced Search Trees - Lecture Slides | CSC 3102
Algorithms and Data Structures: Understanding the Basics - Prof. B. Karki
CSC 3102: Algorithm Design - Lecture Notes (Warshall's & Floyd's Shortest Path Algorithms)
Algorithm for Computing Shortest Paths and Transitive Closure using Dynamic Programming -
Algorithm Design Techniques: Minimum Spanning Trees by Prim's and Kruskal's Algorithms - P
Analysis of Algorithmic Efficiency: Understanding Time and Space Complexity - Prof. B. Kar
Nonrecursive Algorithms: Analysis and Examples - Prof. B. Karki
Algorithm Design Techniques: Brute Force Approach and Specific Algorithms - Prof. B. Karki
Common Problem Types in Computer Science: Sorting, Searching, String Processing, Graphs, C
Algorithm Design Techniques: Brute Force, Divide-and-Conquer, Dynamic Programming, Greedy
This professor on Docsity
27
Documents
Exams
Subjects
Computer Science
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