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Use the 11 stock return series from HW2 to find the weight vector using the following smart beta schemes. Use an upper bound weight of 50% for each stock Maximum Diversification Ratio (MDR) Global Minimum Variance (GMV) Maximum Sharpe Ratio (MSR) You will need to import ‘minimize’ from scipy.optimize. To help you understand how to […]
CSE 307: Homework 2 CSE 307: Principles of Programming Languages Fall 2018 Homework #2 Due: Tue., Oct 23 In this assignment, you will fill parts of an interpreter for Flatte, an OCaml-like functional programming language. For this homework, we will start with a (simple) calculator, implemented using Python and the PLY parser framework. and introduce
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Lab 1: Pipeline MIPS Processor Released: Oct 9th 2018 Due: Oct 30th 2018 Midnight [Instructions on how to upload your code to NYUClasses will be provided in a separate document] This lab is to be performed individually. We will carefully monitor all submissions for plagiarism and any instance of plagiarism will be reported to administration.
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CITS3402 High Performance Computing Assignment 3 Sparse matrix-matrix multiplication using MPI and OpenMP The total marks for this assignment is 20, the assignment can be done in groups of two, or individually. The matrix-matrixi multiplication algorithm using MPI has been discussed thoroughly in the lecture slides. The task in this project is to implement the
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ECE 4122/6122 Advanced Programming Techniques Short Exercise #2 1D Heat Diffusion Assigned: Thursday, October 25, 2018 Due: Thursday, November 1, 2018 In this exercise you will be simulating the diffusion of heat in one dimension using MPI. To do this you will be using the heat diffusion equation which for 1 dimension is : du
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University of Wollongong School of Computing and Information Technology CSCI446/946 Big Data Analytics Spring 2018 Assignment 3 (Due: 29 October 2018, Monday) 20 marks Aim This assignment is intended to provide basic experience in conducting image analytics experiments with R (or other languages preferred by students). After having completed this assignment you should know how
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School of Computing & Information Technology CSCI251/CSCI851 Advanced Programming Spring 2018 Assignment 3 (Worth 10%) Due 11:55pm Friday 26th October 2018. (End of Week Thirteen) This assignment involves implementing a container to support some basic genetic related manipulations. The genetic code is described in as a sequence of nucleotides or bases. Those bases describe our
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MLP 2018/19: Coursework 1 Due: 26 October 2018 Machine Learning Practical 2018/19: Coursework 1 Released: Monday 15 October 2018 Submission due: 16:00 Friday 26 October 2018 1 Introduction The aim of this coursework is to explore the RMS-Prop and Adam learning algorithms (discussed in lecture 5) in the context of L2 regularization (discussed in lecture
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CS 9868 Internet Algorithmics Assignment 2: Graduate and Undergraduate Students Due October 26 at 11:59 pm This assignment has 10 bonus marks. For each one of the following questions you need to use the simulator for synchronous distributed algorithms written by Daniel Servos (available at cs1.ca/simv2). You need to use version 2.1.0 of the simulator.
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/ucsd/cse224 ~/home ~/tags ~/subscribe HW 4: Writing a web server 2018/10/11 Overview In this project, you are going to build a simple webserver that implements a subset of the HTTP/1.1 protocol specification called TritonHTTP, defined here. Project details Basic web server functionality At a high level, a web server listens for connections on a socket
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