Lecture 1: Introduction Introduction Agents and Multi-Agent Systems 1 Basics Lecturer: Dr. Simon Miles plus Prof. Michael Luck (1 class) Time: Tuesdays 900 – 1200 weekly except reading week Classes: Each is a mix of lecture and tutorial Materials: Slides, useful links, etc. all on KEATS (soon) Assessment: 100% multiple choice exam in January Questions: […]
PowerPoint Presentation 1 Starting Point: SparkSession Entry point into all functionality in Spark SQL Already created in pyspark Need to create in self-contained applications: from pyspark.sql import SparkSession spark = SparkSession \ .builder \ .appName(“Python Spark SQL basic example”) \ .config(“spark.some.config.option”, “some-value”) \ .getOrCreate() DataFrames Idea borrowed from pandas and R A DataFrame is an RDD
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PowerPoint Presentation * Recursion is a repetitive process in which an algorithm calls itself. Each recursive call must either – solve a part of the problem or – reduce the size of the problem * Example: A Simple Guessing Game The computer generates a random number between 1 and 20. The user is given up
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Orthogonal Decompositions¶ Orthogonal transformations¶ Let $Q\in\mathbb{R}^{n\times n}$. $Q$ is called orthogonal if $$Q^TQ=I.$$ Hence, all rows and columns of $Q$ are orthogonal to each other. Orthogonal transformations are angle and norm preserving. Consider the inner product $\langle x,y\rangle:=x^Ty$ of two vectors $x$ and $y$. We have $$ \langle Qx, Qy\rangle = x^TQ^TQy = x^Ty =\langle
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Roadmap Review Pointers and arrays are very similar Strings are just char pointers/arrays with a null terminator at the end Pointer arithmetic moves the pointer by the size of the thing it’s pointing to Pointers are the source of many C bugs! 1 CMPT 295 Memory Allocation in C Multiple Ways to Store Program Data
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ESS116 ESS 116 Introduction to Data Analysis in Earth Science Image Credit: NASA Instructor: Mathieu Morlighem E-mail: mmorligh@uci.edu (include ESS116 in subject line) Office Hours: 3218 Croul Hall, Friday 2:00 pm – 3:00 pm This content is protected and may not be shared uploaded or distributed Lecture 2 quick review Matrices/Vectors Plot I/O Lecture 3
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香港中文大学(深圳)数据科学院 School of Data Science CSC4005 – Distributed and Parallel Computing Prof. Yeh-Ching Chung School of Data Science Chinese University of Hong Kong, Shenzhen 1 National Tsing Hua University ® copyright OIA 香港中文大学（深圳）数据科学院 CUHK-SZ School of Data Science Outline 2 Introduction to Parallel Computers Message Passing Computing and Programming Multithreaded Programming OpenMP Programming Embarrassingly Parallel
程序代写代做代考 algorithm data science 香港中文大学(深圳)数据科学院 School of Data Science Read More »
香港中文大学(深圳)数据科学院 School of Data Science CSC4005 – Distributed and Parallel Computing Prof. Yeh-Ching Chung School of Data Science Chinese University of Hong Kong, Shenzhen 1 National Tsing Hua University ® copyright OIA 香港中文大学（深圳）数据科学院 CUHK-SZ School of Data Science Outline 2 Introduction to Parallel Computers Message Passing Computing and Programming Multithreaded Programming OpenMP Programming Embarrassingly Parallel
程序代写代做代考 algorithm data science 香港中文大学(深圳)数据科学院 School of Data Science Read More »
Informed Search¶ Implementation of the basic informed search algorithms using NetworkXlibrary In [1]: # Install NetworkX, Matplotlib, Pandas, Numpy using pip package in the current Jupyter kernel import sys !{sys.executable} -m pip install networkx !{sys.executable} -m pip install matplotlib !{sys.executable} -m pip install pandas !{sys.executable} -m pip install numpy Requirement already satisfied: networkx in c:\users\brix\anaconda3\lib\site-packages (2.3)
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10: The OpenGL Pipeline 15: Real-Time Water COMP5822M: High Performance Graphics Water = Simulation Getting water right always means simulation We’re only interested in rendering it now COMP5822M: High Performance Graphics Caustics Characteristic dappled look of water Light reflects/refracts from a curved surface Also happens with glass objects (bottles) COMP5822M: High Performance Graphics Rendering Caustics
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