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Tales (and heads) of statistics in large genetic studies

Tales (and heads) of statistics in large genetic studies

Tales (and heads) of statistics in large genetic studies. Ken Rice Associate Professor Analysis Committee Chair, CHARGE consortium http://faculty.washington.edu/kenrice. Q. What do you do?. Like most faculty, my time is split; Teaching courses Advising students (Training Grant)

By candie
(82 views)

Super-Resolution Through Neighbor Embedding

Super-Resolution Through Neighbor Embedding

Super-Resolution Through Neighbor Embedding. Hong Chang, Dit-Yan Yeung and Yimin Xiong. Presented By: Ashish Parulekar, Ritendra Datta, Shiva Kasiviswanathan and Siddharth Pal. Contents. Introduction What is Super resolution ? Multiframe superresolution.

By jagger
(434 views)

Mössbauer parameters from DFT-based WIEN2k calculations for extended systems

Mössbauer parameters from DFT-based WIEN2k calculations for extended systems

Mössbauer parameters from DFT-based WIEN2k calculations for extended systems. Peter Blaha Institute of Materials Chemistry TU Vienna. Main Mössbauer parameters:. The main (conventional) Mössbauer spectroscopy parameters which we want to calculate by theory are:

By akando
(293 views)


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Approximations

Approximations

Approximations. Review: Solve the following. 16 x 4 = ? 25 x 2.3 = ? 2.5 x 16.1 = ? 16 x 4 = 64 25 x 2.3 = 57.5 2.5 x 16.1 = 40.25. How do we approximate. Locate the first decimal place If the number is five or more add one to the whole number

By emilia (80 views)

Linear Approximations

Linear Approximations

Linear Approximations. Objectives. Students will be able to Calculate the differential of a function Use differentials to approximate values for expressions Use differentials to approximate change in revenue (population, area, volume, and tolerances). Vocabulary. Linear Approximation.

By ryanh (0 views)

Sparse Approximations

Sparse Approximations

Sparse Approximations. Nick Harvey University of British Columbia. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A. Approximating Dense Objects by Sparse Objects. Floor joists. Wood Joists. Engineered Joists.

By manning (133 views)

Polynomial Approximations

Polynomial Approximations

Polynomial Approximations. BC Calculus. Intro:. REM: Logarithms were useful because highly involved problems like Could be worked using only add, subtract, multiply, and divide.

By monifa (144 views)

Area Approximations

Area Approximations

Area Approximations. Applications of Integration. Approximations. Approximate the area under the curve from to . Use 4 subintervals (n=4) Using a left sum Using a right sum Using a midpoint sum Using the Trapezoidal Rule Using rectangles of whatever width you choose .

By cybill (165 views)

z-Approximations

z-Approximations

z-Approximations. Refael Hassin Samir Khuller. 吳晉賢 D90922003 馬德文 R90922004 李耘天 R90922003. Introduction. 傳統分析方法 傳統分析方法的困境 新的分析方法. 傳統分析方法. OPT 是針對 NP problem 的最佳解. C 假設是我們 approximation algo. 所求的 cost. 求最大值 C >= (1- )*OPT (0< <1) 求最小值

By fleta (128 views)

Better Approximations for the Minimum Common Integer Partition Problem

Better Approximations for the Minimum Common Integer Partition Problem

Better Approximations for the Minimum Common Integer Partition Problem. David Woodruff. MIT and Tsinghua University. Approx 2006. Minimum Common Integer Partition. X = {x 1 , …, x r }, Y = {y 1 , …, y s } are multisets of positive integers. r ¸ s

By tab (101 views)

APPROXIMATIONS ERRORS

APPROXIMATIONS ERRORS

Approximations

By hyunshik (146 views)

From Under-approximations to Over-approximations and Back

From Under-approximations to Over-approximations and Back

From Under-approximations to Over-approximations and Back. Complementary material By Yuri Meshman yurime@cs.technion.ac.il. Example. Foo ( int n): i =0,x=0 ; while ( i <n) if ( i <= 2) x = 0 ; else x = i ; i = i + 1; If (x < 0) ERROR

By lori (154 views)