Lecture 11 Multi-factor Models: Statistical Factor Models (PCA) . Lochstoer UCLA Anderson School of Management Winter 2022 Copyright By PowCoder代写 加微信 powcoder . Lochstoer UCLA Anderson School of Management () Winter 2022 Overview of Lecture 11 1 Statistical Factor Models: Principal Components Analysis 2 Properties 3 Estimation 4 Application: Modeling the Yield Curve 5 Application: […]
Session 2: Basic operation and simulation of a wind turbine 2.1 Aims and Objectives The aim of this task is to develop a simple model of a wind turbine in Matlab / Simulink, while the objective is to better understand the operation of the turbine. The general principles behind developing this model can be applied
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Session 3: Basic operation and analysis of a DC/DC converter 3.1 Aims and Objectives The aim of this task is to develop a simple model of a Buck converter in Matlab / Simulink, while the objective is to better understand the operation of the Buck converter. The general principles behind developing this model can be
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Session 4: Basic Operation of an Asynchronous Induction Machine 4.1 Aims and Objectives The aim of this task is to develop simple models showing the basic control of an asynchronous induction machine in Matlab / Simulink, while the objective is a better understanding of how machines can be controlled using Simscape: Power Systems. The general
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Notes for Lecture 23 (Fall 2022 week 11, part 1): Modes in Prolog Copyright By PowCoder代写 加微信 powcoder November 21, 2022 The code for this lecture is in lec23.pl. These notes introduce one new topic, modes, and one specific feature of Prolog, printing. By itself, Prolog code doesn’t do anything. For something to happen, we
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The coursework for this module is based around (1) designing intelligent autonomous agents and an environment with which they interact, (2) setting those agents a task, (3) asking one or more questions about that task, and (4) evaluating it using experimental methods. You will then present the results from this in a report, which will
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Floating point. Exercises CS/SE 4X03 Ned Nedialkov McMaster University January 28, 2021 FP addition and multiplication are not associative. • a+(b+c) may not be the same as (a+b)+c • a∗(b∗c) may not be the same as (a∗b)∗c Copyright © 2021 N. Nedialkov. All rights reserved. 2/1 Adding FP numbers Example 1. 0.59 + 0.24 ×
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Introduction CS/SE 4X03 Ned Nedialkov McMaster University January 13, 2021 Outline Taylor series Errors in computing Mean-value theorem The Patriot disaster Taylor series Errors in computing Mean-value theorem The Patriot disaster Taylor series Taylor series of an infinitely differentiable (real or complex) f at c f (x) = f (c) + f ′ (c)(x −
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Linear Least Squares CS/SE 4X03 Ned Nedialkov McMaster University March 4, 2021 Outline Example: linear least squares fit Solving overdetermined systems Normal equations Example: linear least squares fit Solving overdetermined systems Normal equations Example: linear least squares fit • Assume a program runs in αnβ, where α and β are real constants we don’t know
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Errors, Convergence, Stiffness CS/SE 4X03 Ned Nedialkov McMaster University March 24, 2021 Outline Local truncation error and order Local and global error Convergence Stiffness Stiff vs Nonstiff Order Local and global error Convergence Stiffness Stiff vs Nonstiff Local truncation error and order • Local truncation error is the amount by which the exact solution fails
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