... the current plot The windows are numbered from left to right, top to bottom For example, subplot(2,1,1), plot(n), subplot(2,1,2), plot(xn) ; will split the graph window into a top plot for vector ... the form variable expression 458 APPENDIX B: INTRODUCTION OF MATLAB FOR DSP APPLICATIONS or simply expression Since MATLAB supports long variable names (up to 19 characters, start with a letter, ... them Typing help in the command window brings out a list of categories We can get help on one of these categories by typing the selected category name after help For example, typing help graph2d...
... Journal of Materials Chemistry, 2000 10: p 272 3– 272 6 76 Crisp, M T and N A Kotov, Preparation of Nanoparticle Coatings on Surfaces of Complex Geometry Nano Letters, 2003 3(2): p 173 – 177 77 Susha, ... Engineering Aspects, 2000 163: p 39–44 78 Martin, J., et al., Laser microstructuring and scanning microscopy of plasmapolymer-silver composite layers Applied Optics, 2001 40(31): p 572 6– 573 0 79 Ledoux, ... nano-photoluminescence: Principle and applications Journal of Applied Physics, 2003 93(10): p 6265–6 272 26 Bae, J H., et al., High resolution confocal detection of nanometric displacement by use of...
... have equal length Both pairs of opposite angles are equal Two opposite sides are parallel and have equal length The diagonals meet and bisect each other Properties of parallelograms: The diagonals ... altitude of a trapezoid Properties of trapezoids: A trapezoid is circumscribed if and only if a + b = c + d A trapezoid is inscribed if and only if it is isosceles The area of a trapezoid is ... connecting the midpoints of the diagonals is parallel to the bases and has the length (b – a) Example Consider an application of plane geometry to measuring distances in geodesy Suppose that the...
... result of constructing the points P0 , P1 , P2 , on the graph of the function z = f (y) with the abscissas y0 , y1 , y2 , determined by equation ( 17. 1.2.8) z P z=y z = f (y) P y2 y1 P * P Q1 ... graph of the function f (y) at the point P1 = (y1 , y2 ) with y2 = f (y1 ) Repeating the operations of steps and 2, we obtain the following sequence on the graph of f (y): P0 = (y0 , f (y0 )), P1 ... in implicit form Φ(n, yn , C) = Specific values of C define specific solutions of the equation (particular solutions) Any constant solution yn = ξ of equation ( 17. 1.2.1), with ξ independent of n,...
... terms of the values of the sought function according to ( 17. 1 .7. 4), brings us to equations of the form ( 17. 1 .7. 1) 17. 1 .7- 2 Construction of a difference equation by a given general solution Suppose ... any particular solution of the nonhomogeneous equation ( 17. 1.5.3) The general solution of the corresponding homogeneous equation is constructed with the help of the formulas from Paragraph 17. 1.5-1, ... = ( 17. 1 .7. 3) with finite differences* Δyn = yn+1 – yn , Δ2 yn = yn+2 – 2yn+1 + yn , Δm yn = Δm–1 Δyn ( 17. 1 .7. 4) The replacement of the finite differences in ( 17. 1 .7. 3), by their explicit expressions...
... ( 17. 2.1.6a) ( 17. 2.1.6b) ( 17. 2.1.6c) where Θ(x), Θ1 (x), Θ2 (x), and Θ3 (x) are arbitrary periodic functions of period 1, [x] is the integer part of x Let us show that formulas ( 17. 2.1.6a), ( 17. 2.1.6b), ... coefficients Pn (x)y(x + 1) – Qm (x)y(x) = 0, where Pn (x) and Qm (x) are given polynomials of degrees n and m, respectively Suppose that these polynomials are represented in the form Pn (x) = a(x ... exp[Pn (x)]y(x) = 0, n Pn (x) = bk xk , k=1 has a particular solution of the form n+1 y(x) = exp[Qn+1 (x)], Qn+1 (x) = ck xk , k=1 where ck can be found by the methodof indefinite coefficients 7 ...
... finding a solution of two independent nonhomogeneous first-order equations ( 17. 2.2.22) considered in detail in Paragraphs 17. 2.1-4– 17. 2.1 -7 4◦ The structure of particular solutions of second-order ... (x) be particular solutions of the corresponding linear homogeneous equation ( 17. 2.2.9) that satisfy the condition ( 17. 2.2.10) A particular solution of the linear nonhomogeneous equation ( 17. 2.2.15) ... y(x) is a particular solution of equation ( 17. 2.2.15) The general solution of the homogeneous equation is defined by the right-hand side of ( 17. 2.2.11) Every solution of equation ( 17. 2.2.15) is...
... 0, ( 17. 2.3.13) where a0 (x)am (x) This equation admits the trivial solution y(x) ≡ The set E of all singular points of equation ( 17. 2.3.13) consists of points of three classes: 1) zeroes of the ... dλ λ P (λ) 3◦ , In Paragraph 17. 2.3-4, Item there is a formula that allows us to obtain a particular solution of the nonhomogeneous equation ( 17. 2.3.5) with an arbitrary right-hand side 17. 2.3-3 ... (multiplicity r) [P +r (x) cos βx + Qν+r (x) sin βx]eαx Notation: Pm (x) and Qn (x) are polynomials of degrees m and n with given coefficients; Pm (x), P (x), and Qν (x) are polynomials of degrees m...
... Equations 17. 3.1 Iterations of Functions and Their Properties 17. 3.1-1 Definition of iterations Consider a function f (x) defined on a set I and suppose that f (I) ⊂ I ( 17. 3.1.1) A set I for which ( 17. 3.1.1) ... = ξ n→∞ 909 17. 3 LINEAR FUNCTIONAL EQUATIONS 17. 3.1-3 Asymptotic properties of iterations in a neighborhood of a fixed point 1◦ Let f (0) = 0, < f (x) < x for < x < x0 , and suppose that in a ... < x < x0 17. 3.1-4 Representation of iterations by power series Let f (x) be a function with a fixed point ξ = f (ξ) and suppose that in a neighborhood of that point f (x) can be represented by...
... equation ( 17. 3.4.2) admits particular solutions of the form y(x) = C| ln x |p , where C is an arbitrary constant and p is a root of the transcendental equation am |nm |p + am–1 |nm–1 |p + · · · ... case of ( 17. 3.4.4) with a = 0, b = –1 The corresponding characteristic equation ( 17. 3.3.5) has the roots λ1,2 = The parametric representation of solution ( 17. 3.4.6) contains the complex quantity ... 17. 3.4-5 Babbage equation and involutory functions 1◦ Functions satisfying the Babbage equation y(y(x)) = x ( 17. 3.4 .7) are called involutory functions Equation ( 17. 3.4 .7) is a special case of...
... equations with one independent variable 17. 5 Functional Equations with Several Variables 17. 5.1 Methodof Differentiation in a Parameter 17. 5.1-1 Classes of equations Description of the method Consider ... equation ( 17. 5.1.1) turns into identity ( 17. 5.1.2) 923 17. 5 FUNCTIONAL EQUATIONS WITH SEVERAL VARIABLES Let us expand ( 17. 5.1.1) in powers of the small parameter a in a neighborhood of a0 , taking ... integral in ( 17. 5.1.5) to be a linear function of w, i.e., u2 (x, t, w) = ξ(x, t)w, and rewrite ( 17. 5.1.6) as a relation resolved with respect to w 17. 5.1-2 Examples of solutions of some specific functional...
... right-hand sides of ( 17. 5.5.11) may contain higher-order derivatives ofp = p (x) and ψq = ψq (y) The functional-differential equation ( 17. 5.5.10)–( 17. 5.5.11) is solved by the methodof splitting On ... functional-differential equation ( 17. 5.5.10)– ( 17. 5.5.11) Remark The methodof splitting will be used in Paragraph 17. 5.5-3 for the construction of solutions of some nonlinear functional equations ... FUNCTIONAL EQUATIONS 17. 5.4 Methodof Argument Elimination by Test Functions 17. 5.4-1 Classes of equations Description of the method Consider linear functional equations of the form w(x, t) =...
... Edition, Chapman & Hall/CRC Press, Boca Raton, 2003 Chapter 18 Special Functions and Their Properties Throughout Chapter 18 it is assumed that n is a positive integer unless otherwise specified 18.1 ... 940 SPECIAL FUNCTIONS AND THEIR PROPERTIES 18.2.1-2 Expansions as x → and x → ∞ Definite integral Expansion of erf x into series in powers of x as x → 0: erf x = √ π ∞ (–1)k k=0 ∞ x2k+1 = √ exp –x2 ... Equations and Their Applications, Dover Publications, New York, 2006 e Acz´ l, J., Some general methods in the theory of functional equations with a single variable New applications e of functional...
... Handbook of Semidefinite Programming: Theory, Algorithms and Applications, Kluwer Academic Press, pp 163–188, 1999 Alpert/Handbook of Algorithms for Physical Design Automation AU7242_C0 07 Finals Page ... hypergraph where cells are represented as weighted vertices The weight is typically proportional to the number of pins or the area of the cell A hypergraph is the most natural representation of ... conic optimization problem, often as an SOCP or SDP Next we consider a robust formulation of a geometric program 6 .7. 1 ROBUST CIRCUIT OPTIMIZATION UNDER PROCESS VARIATIONS We use a simple example...
... The operator p( x) u = div(| u |p( x)−2 u) is called p( x)-Laplacian, which becomes p- Laplacian when p( x) ≡ p (a constant) The p( x)-Laplacian possesses more complicated nonlinearities than p- Laplacian ... {u ∈ Lp(x) (Ω)|| u| ∈ Lp(x) (Ω)}, and it can be equipped with the norm u = |u |p( x) + | u |p( x) , 1 ,p( x) where | u |p( x) = u p( x) ; and we denote by W0 in W 1 ,p( x) (Ω), p = N p( x) N p( x) , p = ... = (N −1 )p( x) N p( x) , ∞ (Ω) the closure of C0 (Ω) when p( x) < N , and p = p = ∞, when p( x) > N Proposition 2.1 [22, 41] (1) If p ∈ C+ (Ω), the space (Lp(x) (Ω), | · |p( x) ) is a separable,...
... important in the study of the oscillation of the solutions of p- Laplacian equations There are many papers about the oscillation problem of p- Laplacian equations (see [7 10]) On the typical p- Laplacian ... Analysis and Applications, vol 312, no 1, pp 24–32, 2005 [5] Q H Zhang, “The asymptotic behavior of solutions for p( x)-laplace equations,” to appear in Journal of Zhengzhou University of Light [6] ... Inequalities and Applications, vol 2006, Article ID 52 378 , 17 pages, 2006 8 Journal of Inequalities and Applications [9] S Lorca, “Nonexistence of positive solution for quasilinear elliptic problems...
... p C2 p xT Ax qm F n,xn+1 ,xn − n =1 p/ 2 ≥ λmin p C2 ≥ p/ 2 p/ 2 λ p C2 = p/ 2 λ p C2 ≥ p/ 2 λ p C2 pppp x x pp −2 − p/ 2−2 p/ 2 C1 λ p C2 p qm C1 C2 p qm C1 C2 pp p/ 2 − 2− p/ 2−2 λmin p p/2 x p ... x p − 2− p/ 2−2 λmin x p − p/ 2 C1 λ 2p C2 p p/2 max xn+1 p , xn p n =1 p/ 2 xn+1 p + xn p n =1 C1 p/ 2+1 x p x p = pp 1 2p C2 p p/2 λmin x p (3.13) p/ 2 Take σ = 1/ 2p( 1/C2 ) p λmin δ p , then J(x) ... n,ren+1 + zn+1 ,ren + zn − n =1 qm p/ 2 λmax r p − a1 ren+1 + zn+1 2 + ren + zn β + a2 qm n =1 p C3 p/ 2 λmax r p − a1 = p/ 2 λmax p C1 ≤ p/ 2 λmax p C1 pp r p − a1 C3 r p − a1 C3 β/2 qm β ren+1 + zn+1...
... + ε |s| p + A|s|q p (3.3) for all (x,s) ∈ Ω × R By the Poincare inequality and Sobolev inequality, one obtains J(u) ≥ u pp − p ≥ u pp − p = ε 1−α− p λ1 Ω Ω a(x) + ε |u| p dx − A α+ u p Ω |u|q ... has limsup n→∞ Ω m F x,wn dx = limsup n→∞ Ω + F x,(2pm)1/ p wn dx p ≤ limsup Ω n→∞ + 2m λ1 + ε wn dx + + = limsup C1 wn n→∞ = C1 w + pppp q q + A(2pm)q/ p (wn )q dx q q + + C2 wn + C2 w+ Ω ... j(s)−1/ p ds = ∞, where j(s) = s β(t)dt, holds Then if u does not vanish identically of Ω, it is positive everywhere in Ω (2.15) A class of superlinear p- Laplacian equations Proof of the theorems Proof...
... 19 79 (26%) No 23 203 226 (74 %) Total 83( 27% ) Sn = 72 % 222 (73 %) Sp = 91% 305(100%) PPV = 76 %, 95% CI71, 81% NPV = 90%, 95% CI88, 92% 95% CI 67, 95% CI 89, 77 % 93% CI: Confidence Interval; NPV: ... specificity, unlike PPV and NPV, should be less dependent on the prevalence in the population, and more reflective of the test itself, lessening the impact of any unique features of the VA population Moreover, ... 14 1 27 141 (72 %) PPV = 75 %, 95% CI 62, 86% NPV = 90%, 95% CI 84, 94% 56 (28%) 141 (72 %) 1 97 (100%) Sn = 75 % Sp = 90% 95% CI 62, 95% CI 84, 86% 94% CI: Confidence Interval; NPV: Negative Predictive...