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数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
MATH3090 Computational Mathematics - Assignment 2- Euler methods and predator-prey model
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
Analyze the discretization error of improved Euler’s method in the context of our well-stirred coffee model, i.e., Newton’s cooling model. Denote the time step size as h = T/K.
MA/CS 321 - Introduction to Numerical Methods - Programming Project 2: Interpolation
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
For ecological research purposes, a tracking device has been attached to some individuals on a migratory flock. The goal of this project is to construct the migration routes of these birds, by interpolating the signals obtained from the tracking device.
MIS41160: Optimisation in Business - Assignment: Mathematical Programming
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
You will address Mathematical Programming (specifically, Linear and Integer Linear Programming) problems as described in §§3–5 using the approaches and tools discussed in class, and make
554.488/688 Computing for Applied Mathematics Fall 2022 - Final Project Assignment - Fannie Mae Loan Performance Prediction Project
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
The aim of this project is use data collected on a large number of loans in Oct of 2021, to develop prediction models for the number of months payments are made on mortgage loans and for pre- dicting foreclosure of a loan based on information available to FNMA at the time the loan is put on their books.
MAT3300 Homework 4: Mathematical Modeling
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
With the presence of bid-ask spreads, is there any arbitrage opportunity by trading these options and the risk-free asset? If so, construct one such strategy.
IEMS 303: Statistics: Kumaraswamy distribution
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
The Kumaraswamy distribution is useful for modeling random outcomes on the interval (0,1), such as the fraction of borrowers who default on their loans.
COMS 4701 Artificial Intelligence Homework 1: Coding - Search
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
In this assignment you will create an agent to solve the N-puzzle game. You will implement and compare several search algorithms, and collect some statistics related to their performances.
ACT 610 Mathematical Statistics - Homework 1: Probability and Distribution
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
Identify the following experimental designs. Are they (i) categorical, (ii) two-sample, (iii) k-sample, (iv) paired, or (v) randomized block
STATS 240: Design and Analysis of Surveys and Experiments - Assignment 4: ANOVA
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
An experiment was conducted to compare the effectiveness of five different diet preparations on weight gain. A random sample of 50 males was randomly divided into five equal groups, with preparation A assigned to the first group
Statistics 5350/7110 Forecasting Methods for Management - Assignment 1: Additive Decomposition Model, Multiplicative Decomposition Model and Residual Analysis
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
Fit an additive decomposition model to Quits. Include a polynomial trend, a seasonal component using the fMonth variable, and trigonometric variables to investigate calendar structure.
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