'2m 1' presentation slideshows

???? ??????? I ?

???? ??????? I ?. ????. ??? ?????????. ????. 1. ?????????? (1) ?? ?????? . ?????? R, ??? R. (2) ?????????????? : ? ??????? ???????? ??????? k; ? ? k>0 ? , ????? ; ? k<0 ? , ????? ;

1.33k views • 121 slides

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1.07k views • 59 slides

Multicolored Subgraphs in an Edge Colored Graph

564 views • 43 slides

Sparse Normalized Local Alignment Nadav Efraty Gad M. Landau

544 views • 42 slides

Historical remarks

486 views • 36 slides

Non-crossing geometric path covering red and blue points in the plane

Non-crossing geometric path covering red and blue points in the plane. Mikio Kano Ibaraki University Japan October 2002. R =a set of red points in the plane={ } B =a set of blue points in the plane={ } We always assume that no three points in R U B lie on the same line.

353 views • 35 slides

??? On-line Algorithms

??? On-line Algorithms. ??? ?????????. 10.1 Introduction to On-line Algorithms 10.2 On-line Euclidean Spanning Tree Problem 10.3 On-line Algorithm for Convex hull problems 10.4 Randomized On-line Algorithm for MST. ??. ????. ? ???? ? ???.

513 views • 31 slides

The Spectral Method

The Spectral Method. Definition. where (e m ,e n )= ? m,n. e n = basis of a Hilbert space (.,.): scalar product in this space. In L 2 space. where f * : complex conjugate of f. Discretization: limit the sum to a finite number of terms.

592 views • 29 slides

Fiber Optics Design and Solving Symmetric Banded Systems

Fiber Optics Design and Solving Symmetric Banded Systems. Linda Kaufman William Paterson University. High Speed Optical Communication Segment. EDFA. Dispersion Compensation. Amplification. Transmission (~80km). Dispersion Compensation fibers. Signal degradation and Restoration.

408 views • 28 slides

dynamic spectrum

dynamic spectrum. Operations/systems. Processes so far considered: Y(t), 0<t<T time series using Dirac deltas includes point process Y(x,y), 0<x<X, 0<y<Y image includes spatial point process

367 views • 25 slides

???????

???????. 1. y =. x. 2x. y =. 3. 1. y =. x. 1. 3. y =. y =. 3x. 2x. ????. ?????????????????????? ? ? ? ? ? ? ? ? ?. y = 2x 2. y = 3x-1. y = 3x. s.

308 views • 23 slides

????

????. Y=ax 2 +bx+c. ???????? ?? y=ax 2 +bx+c ? a?0 ? a ? b ? c ????? y ?? x ??????. ?????????? y=ax 2 +bx+c (a?0). y=ax 2 +bx (a?0 ? c=0) y=ax 2 +c (a?0 ? b=0) y=ax 2 (a?0 ? b=0 ? c=0). ??????????? y=ax 2 +bx+c. =a ? x+ ? 2 +. ????????????.

485 views • 20 slides

??????????

??????????. ??????? ???. ????. 1 ?????? ????? ( k ???? K?0 ) ?????????? ? ?? x?0 ) ??????????? 2 ???????????? ? 1 ?????? (k ???? K?0 ) ???? ??? ? 2 ? ? k ? 0 ????????????????? ?? ?????? ? y ?? x ??????? (3).

311 views • 18 slides

1.7: Distributive Property

TERM: A number, a variable, or the product of the two. Ex: a, 3x, 2x, 5,. 1.7: Distributive Property. CONSTANT: a term with no variable (number ) Ex: 4, -1, 6, 2. COEFFICIENT: Is the numerical factor of the a term. Ex: 3 x, 5 w, -3 s,.

530 views • 18 slides

Ch 1.4: Basic Proof Methods I

Ch 1.4: Basic Proof Methods I. A theorem is a proposition, often of special interest. A proof is a logically valid deduction of a theorem, using axioms, premises stated in the theorem, or previously established results.

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Ch 1.4: Basic Proof Methods I

Ch 1.4: Basic Proof Methods I. A theorem is a proposition, often of special interest. A proof is a logically valid deduction of a theorem, using axioms, premises stated in the theorem, or previously established results.

131 views • 13 slides

Ch 1.4: Basic Proof Methods I

Ch 1.4: Basic Proof Methods I. A theorem is a proposition, often of special interest. A proof is a logically valid deduction of a theorem, using axioms, premises stated in the theorem, or previously established results.

154 views • 13 slides

CORE 1 proof

275 views • 12 slides

?????

?????. ???. 1. 1. y =. y =. x. x. 2x. y =. 3. ???????????????????. 1. 1. y =. y =. x. x. 1. 1. 3. 3. y =. y =. y =. y =. 3x. 3x. 2x. 2x. ????. ?????????????? ? ? ? ?

213 views • 12 slides

Chapter 19 Sound Waves

Chapter 19 Sound Waves. Molecules obey SHM s(x,t)=s m cos(kx- ?t) leads to variations in density and pressure in the air pressure is large where density is large but displacement s(x,t) is small hence pressure(or density) wave is 90 0 out of phase with displacement

207 views • 10 slides