Stat统计课程常用R语言, python和matlab等进行画图和数据统计分析. 统计和金融经济和机器学习等课程密切相关.
# Part 1: Building the RPC protocol service In Part 1, you will build a series of remote procedure calls (RPC) and message types that will fetch, store, list, and get attributes for files on a remote server. The SunRPC implementation (ONC RPC) and XDR interface definition language (IDL) you learned about in the lectures […]
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#include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include “dfslib-shared-p1.h” #include “proto-src/dfs-service.grpc.pb.h” #include “dfslib-clientnode-p1.h” using grpc::Channel; using grpc::Status; using grpc::StatusCode; using grpc::ClientWriter; using grpc::ClientContext; using grpc::ClientReader; // STUDENT INSTRUCTION: // You may want to add aliases to your namespaced service methods here. // All of the
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# Part 2: Completing the Distributed File System (DFS) Now that you have a working gRPC service, we will turn our focus towards completing a rudimentary DFS. For this assignment, we’ll apply a weakly consistent cache strategy to the RPC calls you already created in Part 1. This is similar to the approach used by
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Math 5440 Course Syllabus This is a course on quantitative trading organized around the unifying topic of price impact. Price impact is a central phenomenon in trading that affects quantitative strategies over all horizons. Practitioners use price impact models in many finance applications. Quantitative traders optimize and analyze the performance of their trading algorithms using
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Math 5440: Week 9 Assignment Due Date: March 31, 2023 at 10am Exercise 1 Creating Synthetic Alphas Consider a synthetic signal αt =a(Rt −RT)+b(Wt −WT) for parameters a and b, where R and W are assumed to be two independent Wiener processes with volatility σR and σW , respectively. We call Rt − RT the
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Student Name: Student ID: University of Macau Faculty of Science & Technology Department of Computer & Information Science COIS724. Big Data Processing and Analysis Assignment 02 for 2nd semester 2022/2023 [Spatial / Multi-dimensional Query Processing] 1. Given a set of homogenous spatial records, e.g., if f1 is the location of a hotel, then q is
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MTHM017 Advanced Topics in Statistics Assignment Please make sure that the submitted work is your own. This is NOT a group assignment, therefore approaches and solutions shouldn’t be discussed with other students. Plagiarism and collusion with other students are examples of academic misconduct and will be reported. More information on academic honesty can be found
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RESEARCH SCHOOL OF FINANCE, ACTUARIAL STUDIES AND STATISTICS REGRESSION MODELLING (STAT4038/STAT6038) Assignment 1 for Semester 1, 2023 Due date: 3:00 pm (Canberra time) on Friday, 31 March 2023 INSTRUCTIONS: This assignment is worth 15% of your overall marks for this course. You must complete this assignment by yourself. If you copy someone else’s
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CSC369 Assignment 5 FUSE File Systems Due Dec 10 by 11:59p.m. Points 9 Available after Nov 23 at 12p.m. Introduction You will be implementing a version of the Very Simple File System (VSFS) from the OSTEP text and lectures. We will be using FUSE to interact with your file system. FUSE allows you to implement
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STAT500 – Assignment 1 Outline: Purpose: Auckland University of Technology STAT500: Applied Statistics – Semester 1 2023 Assignment 1 Due: 11:59pm on Thursday 6 April 2023 This assignment has four questions and it’s worth 10% of your final grade. To assess your analytical and computing skills on the material covered. Total possible marks: 100 marks.
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