有的学校叫数值计算, Numerical analysis 数值分析或者叫Scientific computation 科学计算. Numerical methods are a set of algorithms and techniques used for solving mathematical problems. They include methods for solving linear and nonlinear equations, numerical integration, numerical linear algebra, and optimization problems.
CSCI 520 Assignment 1: Simulating a Jello Cube Due Wed Feb 15, 2023, by 11:59pm An Overview For this assignment you will program a physically-based simulation of a jello cube. The jello cube is made of elastic material, much like the jello sold in grocery stores. When the jello cube is stretched, it will try […]
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CS520 Assignment 3: Inverse Kinematics with Skinning Due Monday April 17, 2023, by 11:59pm Instructions In this assignment, you will implement skinning, forward kinematics (FK) and inverse kinematics (IK) to deform a character. The character is represented as an obj mesh. We provide ASCII files for skinning weights and skeleton data. Our starter code can
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CSE12 Lab 4: Simple CSV File Analysis Due March 15th 2023 , 11:59 PM Minimum Gradescope Submission Requirements Ensure that your Lab4 submission contains the following files: ○ lab4w23_testbench.asm ○ allocate_file_record_pointers.asm ○ income_from_record.asm ○ length_of_file.asm ○ maxIncome.asm ○ minIncome.asm ○ totalIncome.asm ○ data.csv This lab takes as input a CSV (comma separated values) file (.csv
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In this set of tasks, you will be using made-up data of the flow of patients in an emergency department (ED). You should think how best to structure the data, analyze it, and communicate your approach and findings, including visual representations. Please submit your code for both tasks and indicate how long it took for
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Updates to the project, including any corrections and clarifications, will be posted on the course website. Make sure that you check the course website regularly for updates. Change log COMP9334 Project, Term 1, 2022: Priority queueing for server farms Due Date: 5:00pm Friday 22 April 2022 Version 1.00, 18 March 2022 Version 1.00. Issued on
COMP9417 – Machine Learning Homework 2: Classification models – Regularized Logistic Regression and the Perceptron Introduction In this homework we first look at a regularized version of logistic regression. You will im- plement the algorithm from scratch and compare it to the existing sklearn implementation. Special care will be taken to ensure that our implementation
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Project 2A: NGordnet (NGrams) CS 61B Spring 2023 Each assignment will have an FAQ linked at the top. You can also access it by adding “/faq” to the end of the URL. The FAQ for Project 2A is located Introduction # In this project, we will build a browser based tool for exploring the history
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package ngordnet.ngrams; import java.util.List; import java.util.TreeMap; * An object for mapping a year number (e.g. 1996) to numerical data. Provides * utility methods useful for data analysis. * @author Josh Hug public class TimeSeries extends TreeMap { private static final int MIN_YEAR = 1400; private static final int MAX_YEAR = 2100; // TODO: Add any
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cs211 Programming assignment 2 (150 points) Programming assignment 2 (150 points) Start Assignment Due Friday by 10pm Points 150 Submitting a file upload File Types tar Available Feb 12 at 12am – Mar 3 at 11:59pm Stacks, Queues, Trees, Graph algorithms in C (150 points, approximately 12.5% of course grade) Prof. Yipeng Huang Rutgers University
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CS&SE – CITS3402 High Performance Computing 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
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