'Poly' presentation slideshows

Slides by Golan Weisz, Omer Ben Shalom Nir Ailon & Tal Moran

937 views • 76 slides

ClearSpeed Programming Language C n

ClearSpeed Programming Language C n. References. Primary Reference : ClearSpeed Introductory Programming Manual, Version 3.0, January 2008 Additional References : ClearSpeed Software Development Kit Reference Manual, Version 3.0, January 2003.

840 views • 70 slides

ClearSpeed Programming Language C n

ClearSpeed Programming Language C n. References. Primary Reference : ClearSpeed Introductory Programming Manual, Version 3.0, January 2008 Additional References : ClearSpeed Software Development Kit Reference Manual, Version 3.0, January 2003.

789 views • 69 slides

Quantum Information and the PCP Theorem

Quantum Information and the PCP Theorem. Ran Raz Weizmann Institute. PCP Thm [BFL,FGLSS,AS,ALMSS]: x 2 SAT can be proved by a poly- size proof that can be verified by reading only O(1) of its bits. PCP Thm [BFL,FGLSS,AS,ALMSS]: x 2 SAT can be proved by poly(n)

603 views • 45 slides

Approximate List-Decoding and Uniform Hardness Amplification

Approximate List-Decoding and Uniform Hardness Amplification. Russell Impagliazzo (UCSD) Ragesh Jaiswal (UCSD) Valentine Kabanets (SFU). Hardness Amplification. f. F. Hard function. Harder function. Given a hard function we can get an even harder function. Hardness. {0, 1} n. {0, 1} n.

469 views • 35 slides

Polyamory 101 Leanna Wolfe, Ph.D.

Polyamory 101 Leanna Wolfe, Ph.D. Definitions. Polygamy - More Than One Spouse Polygyny - More Than One Wife Polyandry - More Than One Husband Monogamy - One Spouse Serial Monogamy - One Spouse at a Time Swinging - One Spouse; Multiple Playmates

734 views • 33 slides

CSE 331 Software Design & Implementation Abstract data types II

CSE 331 Software Design & Implementation Abstract data types II. Autumn 2011. Kinds of ADT operations (abstract). Mutable ADTs: creators, observers, and mutators Immutable ADTs: creators, observers, and producers. Three examples. A primitive type as an (immutable) ADT

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???? MATLAB (???)

???? MATLAB (???). ??? ?? ?????????. ??? MATLAB ?????. ????. ?? MATLAB ??????????????????. ????. 2.1 ?? 2.2 ???. 2.1 ??. MATLAB = mat rix ???? + lab oratory ?????. 2.1.1?????. ??????????????????? 1 ????? [ ] ??????????? 2 ?????????????????????? 3 ??????????????

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CSE 331 Software Design & Implementation

CSE 331 Software Design & Implementation. Dan Grossman Winter 2014 Data Abstraction: Abstract Data Types (ADTs) (Based on slides by Mike Ernst, David Notkin , Hal Perkins). Outline. This lecture: What is an Abstract Data Type (ADT)? How to specify an ADT? Design methodology for ADTs

319 views • 22 slides

1.4 Newton Polynomial

1.4 Newton Polynomial. 1.4.1 Nested Multiplication. function [C,D]=newpoly(X,Y) n=length(X); D=zeros(n,n); D(:,1)=Y'; for j=2:n for k=j:n D(k,j)=(D(k,j-1)-D(k-1,j-1))/(X(k)-X(k-j+1)); end end C=D(n,n); for k=(n-1):-1:1 C=conv(C,poly(X(k))); m=length(C);

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Limitations of Quantum Advice and One-Way Communication

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Multilinear NC 1 ? Multilinear NC 2

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What is POLYAMORY?

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SUPPLEMENTARY FIGURES

SUPPLEMENTARY FIGURES

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Example:

Introduction to Krylov Subspace Methods. DEF:. Krylov sequence. Example:. Krylov sequence. 1 11 118 1239 12717 1 12 141 1651 19446 1 10 100 989 9546 1 10 106 1171 13332. 10 -1 2 0 -1 11 -1 3 2 -1 10 -1 0 3 -1 8.

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Section 10: Layout

Section 10: Layout. Layout Design Rules. (1) Absolute-Value Design Rules * Use absolute distances (2) ? -based Design Rules. 2. Metal-Si Contact Hole. (same rule for Metal-poly). Min. contact hole = 2 ? x 2 ?. Min contact hole to diffusion layer distance = ?. ?. Al. SiO 2. SiO 2.

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Predictor discovery in training set

Figure 1. Cluster analysis. DIGE analysis. 2. Prediction analysis of microarray (PAM). 1. 2d hierarchical clustering heatmap plotting. DIGE raw gel images SJIA (13 F, 13 Q) POLY (5 F, 5 Q). Predictor discovery in training set. Predictor test in testing set. 6. 7. 3.

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Astrazione di dati

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Please create a cover sheet that contains the following info: Project/Investigation Title

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Position relative to poly(A) signal (nt)

a. Uracil frequency (%). Position relative to poly(A) signal (nt). b. Uracil frequency (%). Position relative to poly(A) signal (nt).

105 views • 1 slides