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数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
CSE 158, CSE 258, DSC 256, MGTA 461 Web Mining and Recommender Systems, Fall 2023 : Assignment 2
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
Identify a dataset to study, and perform an exploratory analysis of the data. Describe the dataset, including its basic statistics and properties, and report any interesting findings.
ENGN2912B Scientific Computing in C++ - Assignment 03: Prime Numbers, String and Expressions parser
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
This assignment contains two problems. First, we will implement a simple command-line application that calculates and displays prime numbers. Second, we will implement a `String` class capable of storing strings of variable lengths and use this class to write a function that parses mathematical expressions and computes their result.
MATH08068 Facets of Mathematics: Cubic Curves
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
For each question, you should provide explicit computations for solving the problems. Whenever appropriate, you should also provide theoretical justification for your results, quoting lemmas, theorems, etc from the lectures, tutorial worksheets and/or references
MATH4063 - SCIENTIFIC COMPUTING AND C++ Coursework 1: GMRES linear algebra solver
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
In this coursework you will build a 2D finite volume solver for the following PDE boundary value problem. In order to solve this problem, you will first define a sparse matrix structure, then write functions to apply the GMRES linear algebra solver and finally build and solve the linear system arising from the finite volume approximation
CS47100: Introduction to Artificial Intelligence - Assignment 3: Probability and Uncertainty, Bayesian Networks and Pacman
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
In this assignment, we will use Pacman project 4. In project 4, you will design inference methods for Pacman agents to use to locate and eat invisible ghosts
COSC2500 Numerical Methods in Computational Science 2013 Projects
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
A typical project would involve the mathematical modelling of some system of interest, the numerical solution of the mathematical model, and discussion of the results (for example, what the results mean, comparison with experimental results, other computational results, and so on).
STAT3006/7305 Statistical Learning Assignment 4, 2023 High-Dimensional Analysis
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
You should select one classifier for the task of classification, which you have not used in previous assignments. Probability-based classifiers discussed in this course include linear, quadratic, mixture and kernel density discriminant analysis.
STAT 361 Applied Methods in Statistics I (Fall 2023) Assignment 3: Linear regression
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
Consider the “Savings.txt” data posted. It is an economic dataset collected in 48 different countries. The variable “sr” is ratio of savings (aggregate personal saving divided by dis- posable income).
MATH36031 Problem Solving by Computer - Project 1: Vedic Multiply
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
In the tasks required for this project you are asked to use an algorithm which originates from the Vedic system of mathematics developed in India several hundred years ago. The algorithm is described in the video clip which is available via Blackboard in the Projects folder.
COSC2500 Numerical Methods in Computational Science - Assignment 3: Linear DEs
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
From Sauer computer problems 6.1: Using Euler’s method and a 4th-order Runge–Kutta method, solve the following IVPs on the interval [0, 1] where y(0) = 1 and
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