12 2/9/21 UCLA CS 118 Winter 2021 Instructor: Giovanni Pau TAs: Hunter Dellaverson Eric Newberry This chapter slide deck draws from different sources 7th and 8th edition of the textbook Transport Layer: 3-1 Chapter 4 Network Layer: Data Plane A note on the use of these PowerPoint slides: We’re making these slides freely available to […]
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12 1/5/21 UCLA CS 118 Winter 2021 Instructor: Giovanni Pau TAs: Hunter Dellaverson Eric Newberry Chapter 2 Application Layer A note on the use of these Powerpoint slides: We’re making these slides freely available to all (faculty, students, readers). They’re in PowerPoint form so you see the animations; and can add, modify, and delete slides
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2/25/21 Chapter 6 The Link Layer and LANs A note on the use of these PowerPoint slides: We’re making these slides freely available to all (faculty, students, readers). They’re in PowerPoint form so you see the animations; and can add, modify, and delete slides (including this one) and slide content to suit your needs. They
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2/26/2021 1 CS 118 Discussion Week 8: Intra-Domain Routing and the Link Layer Slides by Eric Newberry, UCLA Questions • Any questions from last week’s material or Project 2? 2/26/2021 2 Making Routing Scalable • Routing protocols spread information about how to reach destinations throughout the network • What are some limitations of the routing
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Algorithms Copyright ⃝c 2006 S. Dasgupta, C. H. Papadimitriou, and U. V. Vazirani July 18, 2006 2 Algorithms Contents Preface 9 0 Prologue 11 0.1 Booksandalgorithms…………………………….. 11 0.2 EnterFibonacci ……………………………….. 12 0.3 Big-Onotation………………………………… 15 Exercises……………………………………… 18 1 Algorithms with numbers 21 1.1 Basicarithmetic……………………………….. 21 1.2 Modulararithmetic……………………………… 25 1.3 Primalitytesting ………………………………. 33 1.4 Cryptography ………………………………… 39
Artificial Intelligence A Modern Approach Third Edition PRENTICE HALL SERIES IN ARTIFICIAL INTELLIGENCE Stuart Russell and Peter Norvig, Editors FORSYTH & PONCE GRAHAM JURAFSKY & MARTIN NEAPOLITAN RUSSELL & NORVIG Computer Vision: A Modern Approach ANSI Common Lisp Speech and Language Processing, 2nd ed. Learning Bayesian Networks Artificial Intelligence: A Modern Approach, 3rd ed. Artificial
Data Warehousing and Data Mining — L2: Data Warehousing and OLAP — 1 Part I n Why and What are Data Warehouses? n Transaction Processing vs. Analytical Processing n Databases vs. Data Warehouses Data is meaningless without analysis! 2 Example in a finance department n Daily transaction tasks n E.g., account receivable, account payable, payroll,
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Note: We will start at 12:53 pm ET à 18-441/741: Computer Networks Lecture 5: Physical Layer III Swarun Kumar 2 Physical Layer: Outline • Digitalnetworks • CharacterizationofCommunicationChannels • FundamentalLimitsinDigitalTransmission • ModemsandDigitalModulation • LineCoding • ErrorDetectionandCorrection • WiredPHY101(iftimepermits) • WirelessPHY101 3 From Signals to Packets Analog Signal “Digital” Signal BitStream 00101110001 Packets Packet Transmission 0100010101011100101010101011101110000001111010101110101010101101011010111001 Header/Body
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Foundations and Trends⃝R in Theoretical Computer Science Vol. 4, Nos. 1–2 (2008) 1–155 ⃝c 2009 S. V. Lokam DOI: 10.1561/0400000011 Complexity Lower Bounds using Linear Algebra By Satyanarayana V. Lokam Contents 1 Introduction 2 1.1 Scope 2 1.2 Matrix Rigidity 3 1.3 Spectral Techniques 4 1.4 Sign-Rank 5 1.5 Communication Complexity 6 1.6 Graph Complexity
Foundations and Trends⃝R in Theoretical Computer Science Vol. 4, Nos. 1–2 (2008) 1–155 ⃝c 2009 S. V. Lokam DOI: 10.1561/0400000011 Complexity Lower Bounds using Linear Algebra By Satyanarayana V. Lokam Contents 1 Introduction 2 1.1 Scope 2 1.2 Matrix Rigidity 3 1.3 Spectral Techniques 4 1.4 Sign-Rank 5 1.5 Communication Complexity 6 1.6 Graph Complexity