UNWIN’S APPROXIMATION METHOD

Mar 11, 2019

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UNWIN’S APPROXIMATION METHOD.

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approximation method

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UNWIN’S APPROXIMATION METHOD

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UNWIN’S APPROXIMATION METHOD

One-layer neural networks Approximation problems

One-layer neural networks Approximation problems. Approximation problems Architecture and functioning (ADALINE, MADALINE) Learning based on error minimization The gradient algorithm Widrow-Hoff and “delta” algorithms. Approximation problems. Approximation (regression):

568 views • 18 slides

Taylor Series Approximation

Orders of approximation. In science, engineering, and other quantitative disciplines, orders of approximation refer to formal or informal terms for how precise an approximation is, and to indicate progressively more refined approximations: in increasing order of precision, a zeroth order approximati

1.51k views • 33 slides

Where is the STEM in Apprenticeship?

Where is the STEM in Apprenticeship?. Alison Fuller and Lorna Unwin Oxford Science Festival alison.fuller@soton.ac.uk l.unwin@ioe.ac.uk www.twitter.com/llakescentre. Content of Apprenticeship. 1. How far do apprenticeships address the STEM agenda?

470 views • 14 slides

A/D Converter

A/D Converter. Discussion D3.2 Sections 8-6, 8.6.1. Analog-to-Digital Converters. Converts analog signals to digital signals 8-bit: 0 – 255 10-bit: 0 – 1023 12-bit: 0 – 4095 Successive Approximation. D/A and A/D Converter. Method of Successive Approximation.

297 views • 6 slides

Beverley Clack Research Associate Dr Jen Unwin Dr Alistair Smith

Relationships between mindfulness, emotional distress and subjective wellbeing: are these underpinned by enhanced decentring and diminished recurrent negative thinking?. Beverley Clack Research Associate Dr Jen Unwin Dr Alistair Smith

183 views • 10 slides

Efficient Private Approximation Protocols

Efficient Private Approximation Protocols. Piotr Indyk David Woodruff. Work in progress. Outline. Private approximation of L 2 distance Private near neighbor Private approximate near neighbor. 1. Private approximation of L 2 distance. Secure communication. Alice. Bob.

465 views • 34 slides

Normal Approximation to the Binomial Distribution

Normal Approximation to the Binomial Distribution. Objective. To understand and know how to calculate probabilities when asked to use a Normal approximation to the Binomial Distribution. To know the conditions under which this approximation can + should be used. Continuity Correction.

528 views • 13 slides

Euler’s Method

Euler’s Method. Recall: If we have a differential equation and an initial value, Euler’s method lets us build an approximation to graph of the function f . New t = Old t + D t New y = Old y + y ’(Old t , Old y ) D t. D t. How accurate is the approximation?

337 views • 7 slides

4.5 Linearization & Newton’s Method

4.5 Linearization & Newton’s Method. What you’ll learn about Linear Approximation Newton’s Method Differentials Estimating Change with Differentials. Linear Approximation. Any differentiable curve is “Locally Linear” if you zoom in enough times.

485 views • 22 slides

Euler’s Method

Euler’s Method. If we have a formula for the derivative of a function and we know the value of the function at one point, Euler’s method lets us build an approximation to the function f. Euler’s method is numerical antidifferentiation. D t. Point of View. D t. D t. D y = f’(point)* D t.

319 views • 5 slides

A/D Converter Control

A/D Converter Control. Discussion D8.6. Analog-to-Digital Converters. Converts analog signals to digital signals 8-bit: 0 – 255 10-bit: 0 – 1023 12-bit: 0 – 4095 Successive Approximation. Method of Successive Approximation. Implementing Successive Approximation.

421 views • 26 slides

Chapter 15 Approximation Algorithm

Chapter 15 Approximation Algorithm. Introduction Basic Definition Difference Bounds Relative Performance Bounds Polynomial approximation Schemes Fully Polynomial Approximation Schemes. 15.1 Introduction.

626 views • 39 slides

Chapter 2

Chapter 2. Solution of Nonlinear Equations: Lecture (III). Outline. Numerical methods (3) Secant method. Secant method. Secant method algorithm: An approximation to the derivative: 1. Start with two initial guesses x 1 and x 2 and . set i = 2. 2. Find the new approximation, x i+1 .

554 views • 8 slides

Analog-to-Digital Converter

Analog-to-Digital Converter. Chapter 9 MC9S12DP256. Method of Successive Approximation. Implementing Successive Approximation. 9S12DP256 Analog-to-Digital Converter -- File: ATD256.WHP HEX 0082 CONSTANT ATD0CTL2 ATD Control Register 2

579 views • 32 slides

A/D Converter Control

A/D Converter Control. Discussion D8.6 Rev. B – 3/14/2006. Analog-to-Digital Converters. Converts analog signals to digital signals 8-bit: 0 – 255 10-bit: 0 – 1023 12-bit: 0 – 4095 Successive Approximation. Method of Successive Approximation. Implementing Successive Approximation.

423 views • 28 slides

Network Models

Network Models. Lecture 17 (Part v.) Vogel’s Approximation Method. Vogel’s Approximation Starting Procedure. Calculate Row and Column Penalties by taking the absolute value of the two lowest “available” costs in the row or column deducted from one another.

216 views • 10 slides

Functional Approximation

Functional Approximation. Yun Jang Swiss National Supercomputing Centre Data Management, Analysis and Visualization. Overview. Introduction Functional approximation system Generalized basis functions Time series encoding Conclusion. Motivation. Goal:

375 views • 24 slides

6.4 Best Approximation; Least Squares

6.4 Best Approximation; Least Squares. Theorem 6.4.1 Best Approximation Theorem. If W is a finite-dimensional subspace of an inner product space V, and if u is a vector in V, then proj W u is the best approximation to u form W in the sense that ∥ u - proj W u ∥ ＜ ∥ u - w ∥

2.27k views • 45 slides

Stochastic Approximation and Simulated Annealing

Stochastic Approximation and Simulated Annealing. Lecture 8. Leonidas Sakalauskas Institute of Mathematics and Informatics Vilnius, Lithuania EURO Working Group on Continuous Optimization. Content. Introduction. Stochastic Approximation : SPSA with Lipschitz perturbation operator;

714 views • 49 slides

Approximation Algorithms

Approximation Algorithms. Slides by Yitzhak Sapir Based on Lecture Notes from David P. Williamson. Introduction. Approximation algorithms are used to get a solution close to the (optimal) solution of an optimization problem in polynomial time

580 views • 42 slides

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UNWIN’S APPROXIMATION METHOD

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Presentation Transcript

One-layer neural networks Approximation problems

Taylor Series Approximation

Where is the STEM in Apprenticeship?

A/D Converter

Beverley Clack Research Associate Dr Jen Unwin Dr Alistair Smith

Efficient Private Approximation Protocols

Normal Approximation to the Binomial Distribution

Euler’s Method

4.5 Linearization &amp; Newton’s Method

Euler’s Method

A/D Converter Control

Chapter 15 Approximation Algorithm

Chapter 2

Analog-to-Digital Converter

A/D Converter Control

Network Models

Functional Approximation

6.4 Best Approximation; Least Squares

Stochastic Approximation and Simulated Annealing

Approximation Algorithms

4.5 Linearization & Newton’s Method