'Linear interpolation' diaporamas de présentation

Random Variate Generation

Random Variate Generation. It is assumed that a distribution is completely specified and we wish to generate samples from this distribution as input to a simulation model. Techniques Inverse Transformation* Acceptance-Rejection Convolution will emphasize. Random Variate Generation (cont.).

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Animation in Video Games

Animation in Video Games presented by Jason Gregory jgregory@ea.com Agenda The Goal of Game Animation Old School Animation Skeletons and Skins How Skinning Works (Graphically) The Math of Skinning Animation: Bringing a Character to Life Blending and other Advanced Topics

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Introduction to Numerical Methods Mathematical Procedures

Introduction to Numerical Methods Mathematical Procedures. Mathematical Procedures. Nonlinear Equations Differentiation Simultaneous Linear Equations Curve Fitting Interpolation Regression Integration Ordinary Differential Equations Other Advanced Mathematical Procedures:

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Geographic Information Systems

Geographic Information Systems. GIS Analysis and Modeling. 5. (6) Spatial Interpolation. Predict the unknown value at a location using the known values at surrounding area Linear interpolation Thiessen polygon Inverse distance weighted Trend surface Fourier series Kriging.

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Concrete Shear Wall Design

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Concrete Shear Wall Design

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Interpolation

Interpolation. Interpolation. The process of inserting new data points between existing discrete data points Examples of Applications :

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Lecture 21

Lecture 21. MP574. Radon/Inverse Radon Simulation. Sinogram. 1D DFT. Ram-lak Filter. Image Space. Filter in Frequency Space. Convolve with density correction filter. a. 1-a. Method of bi-linear interpolation. = New Coordinate. Individual Pixel. 1-b. = Transform Coordinate. b.

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Image Interpolator

Image Interpolator. Supervisor By : Dr. Rajeev Srivastava Prashant Bhutani Associate Professor CSE, IIT-BHU . Abstract. Image interpolation is the process of resizing or remapping an image.

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Direct Method of Interpolation

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Case Study: Distribution and Abundance of Tree Species Along Climate Gradients

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Riverine Analysis

Riverine Analysis. Northern Great Plains. Sarah Olimb NPCN Fall Meeting 20 September 2013. Aquatic Ecosystem Classification. Watersheds Local climate Basin morphometry. Drainage boundaries Physiography. Regional Climate Physiography General physiognomy of vegetation. Analysis.

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Boundary Conditions & Pollutant Loads

Boundary Conditions & Pollutant Loads. 1. 2. 3. 4. 5. 6. Boundary. Boundary. What is a Boundary?. Any Exchange of Water from outside the model network in or from inside the network to the outside. We designate Boundaries as Segment 0. Limitation in WASP Only 1 Boundary Per Segment.

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3.6 Interpolation on a Grid in Multidimensions

3.6 Interpolation on a Grid in Multidimensions. Yunfei duan Hui Pan. Bilinear interpolation . The concept of linear interpolation between two points can be extended to bilinear interpolation within the grid cell. http://en.wikipedia.org/wiki/Bilinear_interpolation

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Equiripple Filters

Equiripple Filters. A filter which has the Smallest Maximum Approximation Error among all filters over the frequencies of interest:. Define :. where. Fact: filters with the smallest maximum deviation from ideal characteristic are equiripple . . . same ripple.

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Bootstrapping at par rate

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INTERPOLATION

INTERPOLATION. For both irregulary spaced and evenly spaced data. Linear Interpolation. y. x = a. x. x = b. x. Linear Interpolation. Spline & Linear Interpolation.

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Linear Interpolation

Linear Interpolation. (a quick how-to). Wendi Morrison 2010. Situation. Distance vs. Time. Start with data, not necessarily linear. What was the distance at 35 s?. Use a straight line to estimate a value between known data. When was the distance 200 m?. What was the distance at 35 s?.

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