CS61B Lectures 38: Compression ● Prefix Free Codes ● Huffman Coding ● Theory of Compression ● LZW (Extra) ● Lossy Compression (Extra) Zip Files, How Do They Work? $ zip mobydick.zip mobydick.txt adding: mobydick.txt (deflated 59%) $ ls -l -rw-rw-r– 1 jug jug 643207 Apr 24 10:55 mobydick.txt -rw-rw-r– 1 jug jug 261375 Apr 24 […]
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Root Finding / pointer jumping Problem: Show the steps of the pointer jumping-based PRAM algorithm for finding the roots of the forest below. What are the parallel time and work for a forest of maximum depth h? Solution: All nodes now point to the root node of the tree they belong to, and so we¡¯re
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CS61B, 2021 Lecture 21: Graphs and Traversals ¡ñ Tree Traversals ¡ñ Graphs ¡ñ Depth First Search ¡ñ Breadth First Search datastructur.es Trees and Traversals datastructur.es Tree Definition (Reminder) A tree consists of: ¡ñ A set of nodes. ¡ñ A set of edges that connect those nodes. ¡ð Constraint: There is exactly one path between any
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CMPSC 450 Concurrent Scientific Programming Locality and Parallelism in Simulations Spring 2016 Kamesh Madduri Sources of Parallelism and Locality in Simulations • Parallelism and locality are both critical to performance – Data movement is expensive • Real-world problems have parallelism and locality – Objects often depend more on nearby than distant objects – Dependence on
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Note This lecture is the last lecture in scope for Spring 2021 midterm 2. datastructur.es CS61B, 2021 Lecture 22: Graphs II: Graph Traversal Implementations ¡ñ BreadthFirstPaths ¡ñ Graph API ¡ñ Graph Representations and Graph Algorithm Runtimes ¡ñ Graph Traversal Runtimes ¡ñ Layers of Abstraction Tree and Graph Traversals Just as there are many tree traversals:
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CS61B: 2020 Lecture 13: Introduction to Asymptotic Analysis ¡ñ Intuitive Runtime ¡ñ Detailed Analysis of Worst Case Order of Growth ¡ñ Simplified Analysis ¡ñ Big Theta Notation ¡ñ Big O Notation datastructur.es 61B: Writing Efficient Programs An engineer will do for a dime what any fool will do for a dollar. Efficiency comes in two
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CS61B, 2019 Lecture 21: Tries ● Tries ● Trie Implementation and Performance ● Alternate Child Tracking Strategies ● Trie String Operations ● Autocomplete datastructur.es Tries datastructur.es Abstract Data Types vs. Specific Implementations There are many ways to implement an abstract data type. ● Today we’ll talk about a new way to build a set/map. Heap
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CS61B Lecture 36: The End of Sorting ¡ñ An Intuitive, Analytical, and Empirical look at Radix vs. Comparison Sorting ¡ñ The Just-In-Time Compiler ¡ñ Radix Sorting Integers ¡ñ Summary datastructur.es Intuitive: Radix Sort vs. Comparison Sorting datastructur.es Merge Sort Runtime yellkey.com/wall Merge Sort requires ¦¨(N log N) compares. What is Merge Sort¡¯s runtime on strings
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EEEE3120: Control System and System Dynamics 2020- 2021 Module Convenor: Ts. Dr. Vimal Rau Aparow Coursework: Exploration of Forward and Inverse Kinematic Using the Articulated Robotic Manipulator Overview This course work counts towards 20% of the module total. Upon completion of the tasks below you will be required to submit a short report summarising the
b’2021_Spring_Hw03_Part2.tar.gz’ #include #include #include #include void get_walltime(double* wcTime) { struct timeval tp; gettimeofday(&tp, NULL); *wcTime = (double)(tp.tv_sec + tp.tv_usec/1000000.0); } // complex algorithm for evaluation void matrix_mult_orig(double *A, double *B, double *C, int N) { for (int i = 0; i < N; i++) for (int j = 0; j < N; j++) { C[i
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