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Recursive Bayes Filtering Advanced AI

Recursive Bayes Filtering Advanced AI

Recursive Bayes Filtering Advanced AI. Wolfram Burgard. Tutorial Goal. To familiarize you with probabilistic paradigm in robotics Basic techniques Advantages Pitfalls and limitations Successful Applications Open research issues . Robotics Yesterday. Robotics Today. RoboCup.

By oriel
(472 views)

Ch 8.6: Systems of First Order Equations

Ch 8.6: Systems of First Order Equations

Ch 8.6: Systems of First Order Equations. Recall from Section 7.1 that a higher order equation can always be reduced to a system of first order equations. In this section, we examine how the numerical methods of this chapter can be applied to systems of first order equations.

By lavonn
(136 views)

Chapter 2 Errors in Numerical Methods  and Their Impacts

Chapter 2 Errors in Numerical Methods and Their Impacts

Chapter 2 Errors in Numerical Methods and Their Impacts. Objectives. Know the difference between accuracy&precision Understand round-off error Understand approximation error and know how to apply. Content. Introduction Errors Round-off errors Approximate errror Total errors

By amonk
(5 views)


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Approximation and Errors

Approximation and Errors

3. Approximation and Errors. Case Study. 3.1 Significant Figures. 3.2 Scientific Notation. 3.3 Approximation and Errors. Chapter Summary. Case Study. I guess there are 120 paper clips. What’s your guess, Linda?. I guess there are 110 clips, John.

By lysa (249 views)

Approximation

Approximation

Approximation. Objectives for the lesson Practice at rounding to the nearest 10 / 100 / 1000 Decimal Places & Significant Figures. Rounding to the nearest 10, 100, 1000……. Round the number 2741 to the nearest; a.) 10, b.) 100, c.) 1000. Rounding to the nearest 10, 100, 1000……. 2 7 4 1.

By jonah-ashley (143 views)

Approximation

Approximation

Approximation. Objectives for today’s lesson : Practice Upper & Lower Bounds Using Rounding appropriately Finding bounds on answers. Starter. In pairs, try and find pairs of numbers which are the same when rounded to : 1 decimal place and 2 significant figures 3 dp’s and 7 sf’s.

By xiang (168 views)

Approximation

Approximation

Approximation. Objectives for the lesson : Rounding to 10 / 100 / 1000 Using decimal places and significant figures. Rounding to 10 / 100 / 1000. Round each of these numbers to the nearest 10 / 100 / 1000 10 100 1000 246 1251 96 5 879 10045. Rounding to 10 / 100 / 1000.

By shawn (167 views)

Theoretical puzzles Estimation of the approximation errors using the IMC theory

Theoretical puzzles Estimation of the approximation errors using the IMC theory

Theoretical puzzles Estimation of the approximation errors using the IMC theory. Nicolas Coste - STMicroelectronics -. Filter 1 :. Filter 2 :. E = Pop(). PUSH. PUSH. PUSH. PUSH. Push(E). E = Pop(). Push(E). E = Pop(). Computation. SYSTEM. Computation. Push(E).

By sovann (134 views)

Approximation Algorithms

Approximation Algorithms

EPIT 2007. Approximation Algorithms. EPIT 2007. Independent Set. Instance: G=(V,E), k  N Question: Is there an independent set of size k in G (i.e. a subset V’  V such that no two vertices in V’ are joined by an edge) ? This problem is NP-Complete Instance: G=(V,E)

By diata (134 views)

Approximation Algorithms

Approximation Algorithms

By: Ryan Kupfer, Luis Colón, Joe Parisi CMSC 435 Algorithm Analysis and Design. Approximation Algorithms. What is an Approximation Algorithm. Approximation Algorithms: Run in polynomial time Find solutions that are guaranteed to be close to optimal.

By Rita (485 views)

Approximation Algorithms

Approximation Algorithms

Approximation Algorithms. Duality My T. Thai @ UF. Duality. Given a primal problem: P: min c T x subject to Ax ≥ b, x ≥ 0 The dual is: D: max b T y subject to A T y ≤ c, y ≥ 0. An Example. Weak Duality Theorem. Weak duality Theorem:

By jui (139 views)

Implicit Approximation

Implicit Approximation

Implicit Approximation. Implicit approximation can be solved using: Point iteration (G/S, SOR) Direct (matrix) solution Combination of matrix soln and iteration. Examples of solution techniques that combine matrix solution with iteration: IADI (see chapter 5 of W&A) SSOR* SIP*

By giza (104 views)

Approximation Algorithms

Approximation Algorithms

Approximation Algorithms . Department of Mathematics and Computer Science Drexel University. The Generalized Steiner Tree Problem :.

By dutch (173 views)