'Local max' presentation slideshows

Waves

1.43k views • 66 slides

Finding Optimal Bayesian Networks with Greedy Search

Finding Optimal Bayesian Networks with Greedy Search. Max Chickering. Reasoning Under Uncertainty. Print Troubleshooter (Win95, Win2k, WinXP). Network Up. Net/Local Printing. Correct Local Port. Correct Printer Path. Net Path OK. PC to Printer Transport OK. Local Path OK.

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MAT 3749 Introduction to Analysis

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Study on Speaker Recognition Based on HHT

Study on Speaker Recognition Based on HHT. ???? : ??? ?? ??? ?? ? ????? ? ?? 98/12/10. Outline. ?? abstract ?? Instantaneous frequency ?? EMD&IMF ?? speech signal pretreatment ?? Vector quantization ? ? conclusion ?? reference. abstract.

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Multiple Regression

1.11k views • 45 slides

MAT 1234 Calculus I

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Math 180

424 views • 31 slides

September 27 th

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Transformation of Graphs

294 views • 18 slides

Persistence Diagram: Topological Characterization of Noise in Images

Persistence Diagram: Topological Characterization of Noise in Images. Moo K. Chung Department of Biostatistics and Medical Informatics Waisman Laboratory for Brain Imaging and Behavior University of Wisconsin-Madison www.stat.wisc.edu/~mchung. Brain Food Meeting November 5, 2008.

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y = csc X

y = csc X. Recall from the unit circle that csc ? = r/y. csc ? is undefined whenever y = 0. y = csc x is undefined at x = 0 , x = ? and x= 2 ?. Domain of Cosecant Function.

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4.3 1st & 2nd Derivative Tests

4.3 1st & 2nd Derivative Tests. Increasing or Decreasing? : If f ? ( x ) > 0 in an interval, then f is increasing in the interval. If f ? ( x ) < 0 in an interval, then f is decreasing in the interval. 1st Derivative Test c is critical number of f :

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3.3 1 st Derivative Test

3.3 1 st Derivative Test. Increasing or Decreasing? : If f ? ( x ) > 0 in an interval, then f is increasing in the interval. If f ? ( x ) < 0 in an interval, then f is decreasing in the interval. 1st Derivative Test c is critical number of f :

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First derivative:

is positive. is negative. is zero. is positive. is negative. is zero. First derivative:. Curve is rising. Curve is falling. Possible local maximum or minimum. Second derivative:. Curve is concave up. Curve is concave down. Possible inflection point (where concavity changes).

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Local Linearity

Local Linearity. The idea is that as you zoom in on a graph at a specific point, the graph should eventually look linear. This linear portion approximates the tangent line to the curve at the specific point.

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Vertical Stretches and Compressions

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Calculus I (MAT 145) Dr. Day Wednes day , April 3, 2013

Calculus I (MAT 145) Dr. Day Wednes day , April 3, 2013. Optimization: Using Extreme Values to Solve Contextual Problems (4.7). Derivative Patterns You Must Know. The Derivative of a Constant Function The Derivative of a Power Function The Derivative of a Function Multiplied by a Constant

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Second Derivative Test

Second Derivative Test. Concavity. If the graph of a function f lies above all of its tangents, then it is called concave upward If the graph of a function f lies below all of its tangents, then it is called concave downward. Test for Concavity.

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Calculus III Hughes-Hallett Chapter 15 Optimization

Calculus III Hughes-Hallett Chapter 15 Optimization. Local Extrema. f has a local (relative) maximum at the point P 0( (x 0 ,y 0 ) ?D f if f(x 0 ,y 0 ) ? f(x,y) for all points P(x,y) near P 0

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3.1 Graphs of Polynomial Functions

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