Stabilized finite element for MHD with applications to magnetic confinement fusion

Μέγεθος: px
Εμφάνιση ξεκινά από τη σελίδα:

Download "Stabilized finite element for MHD with applications to magnetic confinement fusion"

Transcript

1 Stabilized finite element for MHD with applications to magnetic confinement fusion B. Nkonga 1 JAD/INRIA Nice Sophia-Antipolis Funded by ANR-MN-11 ANEMOS Workshop MNHP, Bordeaux Nov In collaboration with G. Huijsmans and M. Becoulet

2 Context

3 Context

4 Context

5 1 MHD modeling in the SOL 2 Taylor-Galerkin formulation: MHD and Reduced MHD 3 Applications

6 Fluid description of plasma : Assumptions Macroscopic velocity is small compared to the sound speed or magnetic speed (Alfen) [ ] [ ] γp b [v] [v] ρ ρ Deby lenght is small compared to characteristic system lenght: local electrical quasi-neutrality Te n e e 2 [x] Magnetic speed is small compared to light speed : negligible displacement current [ ] b c l ρ ν = ν ei ω b 1 where ω b = T e m e 1 q(r)r

7 Fluid description of plasma : MHD equations Rationalized Gaussian unit (c=1) Conservation of particles Conservation of momentum (ions + elect.) Conservation of energy (ions &/+ elect.) Faraday s law t ρ + m = m t m + (m v) + (pi + πi b b) = (τ + τ ) t E + ((E + p π) v + e b) + q = (( τ + τ ) v ) t b + e = 0 Conservation of elect. momentum (generalized Ohm s Law ) Ampere s law { e = v b + ηj + ẽ j = b

8 Fluid description of plasma : MHD equations Rationalized Gaussian unit (c=1) Spitzer 1956 : Ion Larmor radius [R i ] = ẽ = 1 n e e p i + m e n e e 2 tj + m i e tv [ẽ] = [R i ] [x] Ma + 1 ω p [t] + 1 ω l [t] 2mi [T i ] [b]e [ne]e 2 Plasma frequency ω p = m e Ion Larmor frequency ω l = [b]e m i Mach number Ma = [v] [c] For Equilibrium without flow Ma 1

9 MHD : Fluid description of plasma Conservative formulation : t ρ + m = m t m + (m v) + (pi + πi b b) = (τ + τ ) t E + ((E + p π) v + e b) + q = (( τ + τ ) v ) t b + e = 0 Closure relations : 1 m = ρv 2 E = ρε + ρ v v 2 + b b 2 3 p = (γ 1)ρε 4 π = b b 2 5 e = v b + ηj + ẽ 6 j = b ẽ contains the inductive applied electric field.

10 MHD : pressure formulation t ρ + m = m t m + (m v) + (pi + πi b b) = τ + τ t p + v p + ρc 2 v = (γ 1) q t b + e = 0

11 Constraint No magnetic monopole : b = 0 Divergence free current : j = 0 Potential Vector formulation b = a Implies that { { ( a) = 0 ( a) = 0 = h ( h a h ) = 0 h ( h h a h ) = 0 Constraints contains third order derivatives!

12 Numerical Strategy : Jorek System of equations in compact form : t w = L (, w) C1-Finites elements ( h a h ) ( h ( h ϕ) ) = 0 Implicit scheme for MHD instabilities (Elm s).

13 Taylor Galerkin Principle of the TG Method (LW, Donea(84)) Formulate a high-order time-stepping scheme algorithm before the discretization of the spatial variable w n+1 = w n + δt ( t w) n (δt)2 ( 2 t w ) n (δt)3 ( 3 t w ) n + Substitute time derivatives by space derivatives: ( t w) n L (, w n ), ( k+1 t w ) n ( k t L (, w) ) n Solve the PDE with δw = w n+1 w n δw δt = L (, wn ) δt 2 ( tl (, w) ) n (δt)2 ( 2 6 t L (, w) ) n

14 Stabilization TG2/TG3 Ambrosi & Quartapelle JCP(98) w n+1 = w n + δt ( t w) n (δt)2 ( 2 t w ) n (δt)3 ( 3 t w ) w n+1 w n = δt ( t w) n (δt)2 ( 2 t w ) n (δt)3 ( 3 t w ) Approximation : ( t 3 w ) ( 2 3β t w ) n+1 ( 2 t w ) n δt General form : 0 θ 1 and 0 β 1 δw δt + θ ( L (, w n+1) L (, w n ) ) + δtξ l (( ) 2 t L) n+1 ( t L) n = L (, w n ) δtξ e 2 ( tl) n where ξ l = θ β and ξ e = 2θ 1.

15 Stabilization TG2/TG3 1 This is third order accurate only when β = Second order accurate for others values. Linear hyperbolic : L (, w) = (A ) w = a w t L (, w) = a ( tw) = 2 a w δw δt + θl (, w n+1) δtξ l 2 2 a a wn+1 = (θ 1)L (, w n ) + δt(ξ e ξ l ) 2 Crank-Nicolson scheme : θ = 1/2 and β = 1/2. In this case ξ l = ξ e = 0 2 a wn

16 Stabilization TG2/TG3 :Linearized hyperbolic component. L (, w) (A ) w + L re (, w). { ( t L) n+1 ( t L) n ( a R n+1 ) ( t L) n a (Rn ) 0 + a tw n 1 where R k+1 = ( t w) k + L (, w k+1) wk+1 w k t k+1 t k + L (, w k+1) δw δt + θ ( L (, w n+1) L (, w n ) ) δtξ l 2 ( a R n+1 ) = L (, w n ) + δtξ e 2 a (Rn )

17 Application to Full MHD t w+l (, w) = 0 with w = where L ρ (, w) = (ρv) (D ρ) ρ m p b, L (, w) = L ρ (, w) L m (, w) L p (, w) L b (, w) L m (, w) = (ρv v + pi + πi b b) + π ( ) L p (, w) = v p + γp v Γ (λ T ) + π : v + ηj j L b (, w) = e

18 Application to Full MHD We are concerned by plasmas dynamically dominated by ideal MHD pattern : L (, w) = L (, w) + L re (, w) with ( m ) m m L (, w) = ρ + pi + πi b b v ( p + γp v ) m b ρ b m ρ Then L (, w) = ÃA (w, ) w with 0 t 0 0 (v v) v + v (b ) t b ÃA (w, ) = γp ρ v γp ρ t v 0 vb bv b ρ ρ 0 v Taylor-Galerkin method is defined with A e = ÃA (w n e, )

19 Simplified semi-implicit and Implicit stabilizations = a ( i δtξ l δw a Rn+1 a δt and a Rn 0 ) δw 2 a δt + θl (, w n+1) = (1 θ) L (, w n )

20 Simplified semi-implicit and Implicit stabilizations The Harned and Kerner algorithm : θ = 0 and a = ÃA (w n, ) 0 t 0 0 δρ 0 0 (b ) t δt δtξ l δm 2 t ( δt ) = L ρ ( δm δt à (w, ) = δtξ l 2 δp δt + (bn ) t δb δt = L m ( ) γp δp 0 ρ t 0 0 δt δtξ l γp n 2 ρ t δm n δt = L p ( ( ) δb b 0 ρ 0 0 δt δtξ l b n δm 2 ρ n δt = L b ( Self consistent implicit scheme for the momentum: ( ( ) ) 2 δtξl i G (w n δm, ) 2 δt = L m (, w n ) δtξ l 2 K (, wn ) (1) where G (w n, ) is a self-adjoint (in (L 2 ) 3 ) linearized operator associated to ideal MHD ( ) ( ) γp G (w n n, ) = + (b n ) t 1 ρ n bn ρ n t

21 Ritz-Galerkin method for MHD. Approximated weak stabilized(taylor-galerkin) formulation t ρ h ρ h = L ρ,h (, w h ) ρ h δt t L ρ,h (, w h )ρ h 2 t m h m h = L m,h (, w h ) m h δt t L m,h (, w h ) m h 2 t E h Eh = L E,h (, w h ) Eh δt t L E,h (, w h )Eh 2 t b h b h = L b,h (, w h ) b h δt t L b,h (, w h )b h 2 Test functions : ρ h, m h, E h and b h. For any scalar variable defined over a domain Ω x, V h V h ( ) is the approximated space of function (of finite dimension) to be defined. Ritz-Galerkin formulation ρ h V h, m h (V h ) d, E h V h and b h (V h ) d ρ h V h, m h (V h ) d, Eh V h and b h (V h ) d What about the divergence free condition : b = 0?

22 Ritz-Galerkin method for MHD. Approximated weak stabilized(taylor-galerkin) formulation t ρ h ρ h = L ρ,h (, w h ) ρ h δt t L ρ,h (, w h )ρ h 2 t m h m h = L m,h (, w h ) m h δt t L m,h (, w h ) m h 2 t E h Eh = L E,h (, w h ) Eh δt t L E,h (, w h )Eh 2 t b h b h = L b,h (, w h ) b h δt t L b,h (, w h )b h 2 Ritz-Galerkin formulation ρ h V h, m h (V h ) d, E h V h and b h (V h ) d ρ h V h, m h (V h ) d, Eh V h and b h (V h ) d Ritz-Galerkin formulation with potential vector ρ h V h, m h (V h ) d, E h V h and b h F eq φ + (V h ) d ρ h V h, m h (V h ) d, E h V h and b h?? F eq φ + (V h ) d

23 Well Balanced scheme m h V h φ V h r V h ẑz (V h ) d m h V h b h V h r V h ẑz (V h ) d

24 Reduced Resistive MHD: b = F eq φ + (ψ φ) Therefore the induction equation becomes ( t ψ φ + e) = 0 so that t ψ φ + e = (F 0 u + u eq ) where F 0 (constant) is the scale of F eq e = v b + η (j j eq ) + u eq + ẽ Then v b = t ψ φ + η (j j eq ) + ẽ F 0 u Projections of this equation give: { t ψ = r2 F eq b (F 0 u η (j j eq ) ẽ ) v ϑb = 1 ( b b F 0 u η (j j eq ) ẽ t ψ φ ) b Tokamaks Scaling of the drift velocity: v ϑb r 2 u φ Why not v ϑb F 0 b b u b to enfore the relation b (v ϑb) = 0?

25 Reduced MHD : Elms Scale v = ϑb + r 2 u φ and b = F eq φ + (ψ φ) Ritz-Galerkin formulation for Reduced MHD ρ h and ρ h V h E h and E h V h m h and m h V h b h + r 2 V h φ b h F eq φ + V h φ and b h?? F eq φ + V h φ ( ) Simplified stabilization : a 2 τ ϑ where w = F eq r φw + [w, ψ] and w = r 2 [w, u]

26 Momentum equation : m h and m h V h b h + r 2 V h φ ( ϕb h ϕ φ ) 2 tl m,h (, w h ) ( (r 2 t m h + L m,h (, w h ) + δt ) ) 2 tl m,h (, w h ) t m h + L m,h (, w h ) + δt = 0 = 0 ϕ V h Conservative formulation 1 L m,h (, w h ) O h + β h β h = p h + π h 2 t L m,h (, w h ) t O h + t β h Tokamak scaling near equilibrium 1 β h = β h + 1 ɛ β h O h = ρ hv h v h 2 O h = O h + 1 ɛ O h O h = b h b h

27 Reduced MHD : Induction equation t ( ψ r 2 ) ϕ = φ ( e) ϕ formally implies, with j φ = ψ, that ( ) jφ t r 2 + φ ( e) = 0 ϕ V h

28 C1-Quadrangles Finite element (1) ϕ j (s, t) (2) ϕ j (s, t) (3) ϕ j (s, t) (4) ϕ j (s, t)

29 C1-Triangles Finite element

30 Tokamak s Equilibrium Ohm s Law e = v b + η (j j eq ) + u eq + ẽ It is often assumed that u eq 0 and ẽ 0. Grad-Shafranov Equilibrium: b eq = F eq φ + (ψ eq φ) where F eq F (ψ eq ) and p eq p (ψ eq ) are precribed functions, by solving ψ = F (ψ) F p (ψ) + r2 ψ ψ

31 Triangular mesh aligned with the magnetic surfaces. From Vtx and Elmt to 4000 Vtx and 8000 Elmt

32 Triangular mesh aligned with the magnetic surfaces.

33 Triangular mesh aligned with the magnetic surfaces.

34 Triangular mesh aligned with the magnetic surfaces.

35 Internal kink Grow rate

36 ELM s control by RMP.

37 ELM s control by Pellet.

38 Conclusion Toroidal Finite Element Powell-Sabin Poloidal FE (Triangles) Improved Stabilization and Full MHD Modeling TR-BDF2 : second-order accurate and L-stable : lim δt 0 w n+1 w n = 0. Large-scale computations

Partial Differential Equations in Biology The boundary element method. March 26, 2013

Partial Differential Equations in Biology The boundary element method. March 26, 2013 The boundary element method March 26, 203 Introduction and notation The problem: u = f in D R d u = ϕ in Γ D u n = g on Γ N, where D = Γ D Γ N, Γ D Γ N = (possibly, Γ D = [Neumann problem] or Γ N = [Dirichlet

Διαβάστε περισσότερα

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013 Notes on Average Scattering imes and Hall Factors Jesse Maassen and Mar Lundstrom Purdue University November 5, 13 I. Introduction 1 II. Solution of the BE 1 III. Exercises: Woring out average scattering

Διαβάστε περισσότερα

Space-Time Symmetries

Space-Time Symmetries Chapter Space-Time Symmetries In classical fiel theory any continuous symmetry of the action generates a conserve current by Noether's proceure. If the Lagrangian is not invariant but only shifts by a

Διαβάστε περισσότερα

4.6 Autoregressive Moving Average Model ARMA(1,1)

4.6 Autoregressive Moving Average Model ARMA(1,1) 84 CHAPTER 4. STATIONARY TS MODELS 4.6 Autoregressive Moving Average Model ARMA(,) This section is an introduction to a wide class of models ARMA(p,q) which we will consider in more detail later in this

Διαβάστε περισσότερα

Discretization of Generalized Convection-Diffusion

Discretization of Generalized Convection-Diffusion Discretization of Generalized Convection-Diffusion H. Heumann R. Hiptmair Seminar für Angewandte Mathematik ETH Zürich Colloque Numérique Suisse / Schweizer Numerik Kolloquium 8 Generalized Convection-Diffusion

Διαβάστε περισσότερα

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ.

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ. Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο The time integral of a force is referred to as impulse, is determined by and is obtained from: Newton s 2 nd Law of motion states that the action

Διαβάστε περισσότερα

The Simply Typed Lambda Calculus

The Simply Typed Lambda Calculus Type Inference Instead of writing type annotations, can we use an algorithm to infer what the type annotations should be? That depends on the type system. For simple type systems the answer is yes, and

Διαβάστε περισσότερα

forms This gives Remark 1. How to remember the above formulas: Substituting these into the equation we obtain with

forms This gives Remark 1. How to remember the above formulas: Substituting these into the equation we obtain with Week 03: C lassification of S econd- Order L inear Equations In last week s lectures we have illustrated how to obtain the general solutions of first order PDEs using the method of characteristics. We

Διαβάστε περισσότερα

Eulerian Simulation of Large Deformations

Eulerian Simulation of Large Deformations Eulerian Simulation of Large Deformations Shayan Hoshyari April, 2018 Some Applications 1 Biomechanical Engineering 2 / 11 Some Applications 1 Biomechanical Engineering 2 Muscle Animation 2 / 11 Some Applications

Διαβάστε περισσότερα

EE512: Error Control Coding

EE512: Error Control Coding EE512: Error Control Coding Solution for Assignment on Finite Fields February 16, 2007 1. (a) Addition and Multiplication tables for GF (5) and GF (7) are shown in Tables 1 and 2. + 0 1 2 3 4 0 0 1 2 3

Διαβάστε περισσότερα

the total number of electrons passing through the lamp.

the total number of electrons passing through the lamp. 1. A 12 V 36 W lamp is lit to normal brightness using a 12 V car battery of negligible internal resistance. The lamp is switched on for one hour (3600 s). For the time of 1 hour, calculate (i) the energy

Διαβάστε περισσότερα

Concrete Mathematics Exercises from 30 September 2016

Concrete Mathematics Exercises from 30 September 2016 Concrete Mathematics Exercises from 30 September 2016 Silvio Capobianco Exercise 1.7 Let H(n) = J(n + 1) J(n). Equation (1.8) tells us that H(2n) = 2, and H(2n+1) = J(2n+2) J(2n+1) = (2J(n+1) 1) (2J(n)+1)

Διαβάστε περισσότερα

HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch:

HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch: HOMEWORK 4 Problem a For the fast loading case, we want to derive the relationship between P zz and λ z. We know that the nominal stress is expressed as: P zz = ψ λ z where λ z = λ λ z. Therefore, applying

Διαβάστε περισσότερα

Differential equations

Differential equations Differential equations Differential equations: An equation inoling one dependent ariable and its deriaties w. r. t one or more independent ariables is called a differential equation. Order of differential

Διαβάστε περισσότερα

6.1. Dirac Equation. Hamiltonian. Dirac Eq.

6.1. Dirac Equation. Hamiltonian. Dirac Eq. 6.1. Dirac Equation Ref: M.Kaku, Quantum Field Theory, Oxford Univ Press (1993) η μν = η μν = diag(1, -1, -1, -1) p 0 = p 0 p = p i = -p i p μ p μ = p 0 p 0 + p i p i = E c 2 - p 2 = (m c) 2 H = c p 2

Διαβάστε περισσότερα

High order interpolation function for surface contact problem

High order interpolation function for surface contact problem 3 016 5 Journal of East China Normal University Natural Science No 3 May 016 : 1000-564101603-0009-1 1 1 1 00444; E- 00030 : Lagrange Lobatto Matlab : ; Lagrange; : O41 : A DOI: 103969/jissn1000-56410160300

Διαβάστε περισσότερα

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 1 State vector space and the dual space Space of wavefunctions The space of wavefunctions is the set of all

Διαβάστε περισσότερα

Derivation of Optical-Bloch Equations

Derivation of Optical-Bloch Equations Appendix C Derivation of Optical-Bloch Equations In this appendix the optical-bloch equations that give the populations and coherences for an idealized three-level Λ system, Fig. 3. on page 47, will be

Διαβάστε περισσότερα

Second Order Partial Differential Equations

Second Order Partial Differential Equations Chapter 7 Second Order Partial Differential Equations 7.1 Introduction A second order linear PDE in two independent variables (x, y Ω can be written as A(x, y u x + B(x, y u xy + C(x, y u u u + D(x, y

Διαβάστε περισσότερα

Appendix A. Curvilinear coordinates. A.1 Lamé coefficients. Consider set of equations. ξ i = ξ i (x 1,x 2,x 3 ), i = 1,2,3

Appendix A. Curvilinear coordinates. A.1 Lamé coefficients. Consider set of equations. ξ i = ξ i (x 1,x 2,x 3 ), i = 1,2,3 Appendix A Curvilinear coordinates A. Lamé coefficients Consider set of equations ξ i = ξ i x,x 2,x 3, i =,2,3 where ξ,ξ 2,ξ 3 independent, single-valued and continuous x,x 2,x 3 : coordinates of point

Διαβάστε περισσότερα

Forced Pendulum Numerical approach

Forced Pendulum Numerical approach Numerical approach UiO April 8, 2014 Physical problem and equation We have a pendulum of length l, with mass m. The pendulum is subject to gravitation as well as both a forcing and linear resistance force.

Διαβάστε περισσότερα

The kinetic and potential energies as T = 1 2. (m i η2 i k(η i+1 η i ) 2 ). (3) The Hooke s law F = Y ξ, (6) with a discrete analog

The kinetic and potential energies as T = 1 2. (m i η2 i k(η i+1 η i ) 2 ). (3) The Hooke s law F = Y ξ, (6) with a discrete analog Lecture 12: Introduction to Analytical Mechanics of Continuous Systems Lagrangian Density for Continuous Systems The kinetic and potential energies as T = 1 2 i η2 i (1 and V = 1 2 i+1 η i 2, i (2 where

Διαβάστε περισσότερα

Example Sheet 3 Solutions

Example Sheet 3 Solutions Example Sheet 3 Solutions. i Regular Sturm-Liouville. ii Singular Sturm-Liouville mixed boundary conditions. iii Not Sturm-Liouville ODE is not in Sturm-Liouville form. iv Regular Sturm-Liouville note

Διαβάστε περισσότερα

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required) Phys460.nb 81 ψ n (t) is still the (same) eigenstate of H But for tdependent H. The answer is NO. 5.5.5. Solution for the tdependent Schrodinger s equation If we assume that at time t 0, the electron starts

Διαβάστε περισσότερα

Appendix to On the stability of a compressible axisymmetric rotating flow in a pipe. By Z. Rusak & J. H. Lee

Appendix to On the stability of a compressible axisymmetric rotating flow in a pipe. By Z. Rusak & J. H. Lee Appendi to On the stability of a compressible aisymmetric rotating flow in a pipe By Z. Rusak & J. H. Lee Journal of Fluid Mechanics, vol. 5 4, pp. 5 4 This material has not been copy-edited or typeset

Διαβάστε περισσότερα

Reminders: linear functions

Reminders: linear functions Reminders: linear functions Let U and V be vector spaces over the same field F. Definition A function f : U V is linear if for every u 1, u 2 U, f (u 1 + u 2 ) = f (u 1 ) + f (u 2 ), and for every u U

Διαβάστε περισσότερα

Section 8.3 Trigonometric Equations

Section 8.3 Trigonometric Equations 99 Section 8. Trigonometric Equations Objective 1: Solve Equations Involving One Trigonometric Function. In this section and the next, we will exple how to solving equations involving trigonometric functions.

Διαβάστε περισσότερα

Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- -----------------

Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- ----------------- Inverse trigonometric functions & General Solution of Trigonometric Equations. 1. Sin ( ) = a) b) c) d) Ans b. Solution : Method 1. Ans a: 17 > 1 a) is rejected. w.k.t Sin ( sin ) = d is rejected. If sin

Διαβάστε περισσότερα

ES440/ES911: CFD. Chapter 5. Solution of Linear Equation Systems

ES440/ES911: CFD. Chapter 5. Solution of Linear Equation Systems ES440/ES911: CFD Chapter 5. Solution of Linear Equation Systems Dr Yongmann M. Chung http://www.eng.warwick.ac.uk/staff/ymc/es440.html Y.M.Chung@warwick.ac.uk School of Engineering & Centre for Scientific

Διαβάστε περισσότερα

Discontinuous Hermite Collocation and Diagonally Implicit RK3 for a Brain Tumour Invasion Model

Discontinuous Hermite Collocation and Diagonally Implicit RK3 for a Brain Tumour Invasion Model 1 Discontinuous Hermite Collocation and Diagonally Implicit RK3 for a Brain Tumour Invasion Model John E. Athanasakis Applied Mathematics & Computers Laboratory Technical University of Crete Chania 73100,

Διαβάστε περισσότερα

( y) Partial Differential Equations

( y) Partial Differential Equations Partial Dierential Equations Linear P.D.Es. contains no owers roducts o the deendent variables / an o its derivatives can occasionall be solved. Consider eamle ( ) a (sometimes written as a ) we can integrate

Διαβάστε περισσότερα

Lifting Entry (continued)

Lifting Entry (continued) ifting Entry (continued) Basic planar dynamics of motion, again Yet another equilibrium glide Hypersonic phugoid motion Planar state equations MARYAN 1 01 avid. Akin - All rights reserved http://spacecraft.ssl.umd.edu

Διαβάστε περισσότερα

Lecture 21: Scattering and FGR

Lecture 21: Scattering and FGR ECE-656: Fall 009 Lecture : Scattering and FGR Professor Mark Lundstrom Electrical and Computer Engineering Purdue University, West Lafayette, IN USA Review: characteristic times τ ( p), (, ) == S p p

Διαβάστε περισσότερα

DESIGN OF MACHINERY SOLUTION MANUAL h in h 4 0.

DESIGN OF MACHINERY SOLUTION MANUAL h in h 4 0. DESIGN OF MACHINERY SOLUTION MANUAL -7-1! PROBLEM -7 Statement: Design a double-dwell cam to move a follower from to 25 6, dwell for 12, fall 25 and dwell for the remader The total cycle must take 4 sec

Διαβάστε περισσότερα

Second Order RLC Filters

Second Order RLC Filters ECEN 60 Circuits/Electronics Spring 007-0-07 P. Mathys Second Order RLC Filters RLC Lowpass Filter A passive RLC lowpass filter (LPF) circuit is shown in the following schematic. R L C v O (t) Using phasor

Διαβάστε περισσότερα

Finite difference method for 2-D heat equation

Finite difference method for 2-D heat equation Finite difference method for 2-D heat equation Praveen. C praveen@math.tifrbng.res.in Tata Institute of Fundamental Research Center for Applicable Mathematics Bangalore 560065 http://math.tifrbng.res.in/~praveen

Διαβάστε περισσότερα

Finite Field Problems: Solutions

Finite Field Problems: Solutions Finite Field Problems: Solutions 1. Let f = x 2 +1 Z 11 [x] and let F = Z 11 [x]/(f), a field. Let Solution: F =11 2 = 121, so F = 121 1 = 120. The possible orders are the divisors of 120. Solution: The

Διαβάστε περισσότερα

Wavelet based matrix compression for boundary integral equations on complex geometries

Wavelet based matrix compression for boundary integral equations on complex geometries 1 Wavelet based matrix compression for boundary integral equations on complex geometries Ulf Kähler Chemnitz University of Technology Workshop on Fast Boundary Element Methods in Industrial Applications

Διαβάστε περισσότερα

C.S. 430 Assignment 6, Sample Solutions

C.S. 430 Assignment 6, Sample Solutions C.S. 430 Assignment 6, Sample Solutions Paul Liu November 15, 2007 Note that these are sample solutions only; in many cases there were many acceptable answers. 1 Reynolds Problem 10.1 1.1 Normal-order

Διαβάστε περισσότερα

Higher Derivative Gravity Theories

Higher Derivative Gravity Theories Higher Derivative Gravity Theories Black Holes in AdS space-times James Mashiyane Supervisor: Prof Kevin Goldstein University of the Witwatersrand Second Mandelstam, 20 January 2018 James Mashiyane WITS)

Διαβάστε περισσότερα

Module 5. February 14, h 0min

Module 5. February 14, h 0min Module 5 Stationary Time Series Models Part 2 AR and ARMA Models and Their Properties Class notes for Statistics 451: Applied Time Series Iowa State University Copyright 2015 W. Q. Meeker. February 14,

Διαβάστε περισσότερα

D Alembert s Solution to the Wave Equation

D Alembert s Solution to the Wave Equation D Alembert s Solution to the Wave Equation MATH 467 Partial Differential Equations J. Robert Buchanan Department of Mathematics Fall 2018 Objectives In this lesson we will learn: a change of variable technique

Διαβάστε περισσότερα

Global nonlinear stability of steady solutions of the 3-D incompressible Euler equations with helical symmetry and with no swirl

Global nonlinear stability of steady solutions of the 3-D incompressible Euler equations with helical symmetry and with no swirl Around Vortices: from Cont. to Quantum Mech. Global nonlinear stability of steady solutions of the 3-D incompressible Euler equations with helical symmetry and with no swirl Maicon José Benvenutti (UNICAMP)

Διαβάστε περισσότερα

Chapter 6: Systems of Linear Differential. be continuous functions on the interval

Chapter 6: Systems of Linear Differential. be continuous functions on the interval Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations

Διαβάστε περισσότερα

w o = R 1 p. (1) R = p =. = 1

w o = R 1 p. (1) R = p =. = 1 Πανεπιστήµιο Κρήτης - Τµήµα Επιστήµης Υπολογιστών ΗΥ-570: Στατιστική Επεξεργασία Σήµατος 205 ιδάσκων : Α. Μουχτάρης Τριτη Σειρά Ασκήσεων Λύσεις Ασκηση 3. 5.2 (a) From the Wiener-Hopf equation we have:

Διαβάστε περισσότερα

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions SCHOOL OF MATHEMATICAL SCIENCES GLMA Linear Mathematics 00- Examination Solutions. (a) i. ( + 5i)( i) = (6 + 5) + (5 )i = + i. Real part is, imaginary part is. (b) ii. + 5i i ( + 5i)( + i) = ( i)( + i)

Διαβάστε περισσότερα

wave energy Superposition of linear plane progressive waves Marine Hydrodynamics Lecture Oblique Plane Waves:

wave energy Superposition of linear plane progressive waves Marine Hydrodynamics Lecture Oblique Plane Waves: 3.0 Marine Hydrodynamics, Fall 004 Lecture 0 Copyriht c 004 MIT - Department of Ocean Enineerin, All rihts reserved. 3.0 - Marine Hydrodynamics Lecture 0 Free-surface waves: wave enery linear superposition,

Διαβάστε περισσότερα

Major Concepts. Multiphase Equilibrium Stability Applications to Phase Equilibrium. Two-Phase Coexistence

Major Concepts. Multiphase Equilibrium Stability Applications to Phase Equilibrium. Two-Phase Coexistence Major Concepts Multiphase Equilibrium Stability Applications to Phase Equilibrium Phase Rule Clausius-Clapeyron Equation Special case of Gibbs-Duhem wo-phase Coexistence Criticality Metastability Spinodal

Διαβάστε περισσότερα

Lecture 2. Soundness and completeness of propositional logic

Lecture 2. Soundness and completeness of propositional logic Lecture 2 Soundness and completeness of propositional logic February 9, 2004 1 Overview Review of natural deduction. Soundness and completeness. Semantics of propositional formulas. Soundness proof. Completeness

Διαβάστε περισσότερα

Homework 3 Solutions

Homework 3 Solutions Homework 3 Solutions Igor Yanovsky (Math 151A TA) Problem 1: Compute the absolute error and relative error in approximations of p by p. (Use calculator!) a) p π, p 22/7; b) p π, p 3.141. Solution: For

Διαβάστε περισσότερα

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ting Zhang Stanford May 11, 2001 Stanford, 5/11/2001 1 Outline Ordinal Classification Ordinal Addition Ordinal Multiplication Ordinal

Διαβάστε περισσότερα

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS CHAPTER 5 SOLVING EQUATIONS BY ITERATIVE METHODS EXERCISE 104 Page 8 1. Find the positive root of the equation x + 3x 5 = 0, correct to 3 significant figures, using the method of bisection. Let f(x) =

Διαβάστε περισσότερα

(As on April 16, 2002 no changes since Dec 24.)

(As on April 16, 2002 no changes since Dec 24.) ~rprice/area51/documents/roswell.tex ROSWELL COORDINATES FOR TWO CENTERS As on April 16, 00 no changes since Dec 4. I. Definitions of coordinates We define the Roswell coordinates χ, Θ. A better name will

Διαβάστε περισσότερα

Every set of first-order formulas is equivalent to an independent set

Every set of first-order formulas is equivalent to an independent set Every set of first-order formulas is equivalent to an independent set May 6, 2008 Abstract A set of first-order formulas, whatever the cardinality of the set of symbols, is equivalent to an independent

Διαβάστε περισσότερα

Treatment of Boundary Conditions. Advanced CFD 03

Treatment of Boundary Conditions. Advanced CFD 03 Treatment of Boundary Conditions Advanced CFD 03 Momentum BCs ( ρv) ( ρvv) = τ p B t semi-discretized form ( ρv) ( ρv) t discretization type element discretization ( ρv) ρv ( ) t oundary terms Ω Ω ( m

Διαβάστε περισσότερα

Main source: "Discrete-time systems and computer control" by Α. ΣΚΟΔΡΑΣ ΨΗΦΙΑΚΟΣ ΕΛΕΓΧΟΣ ΔΙΑΛΕΞΗ 4 ΔΙΑΦΑΝΕΙΑ 1

Main source: Discrete-time systems and computer control by Α. ΣΚΟΔΡΑΣ ΨΗΦΙΑΚΟΣ ΕΛΕΓΧΟΣ ΔΙΑΛΕΞΗ 4 ΔΙΑΦΑΝΕΙΑ 1 Main source: "Discrete-time systems and computer control" by Α. ΣΚΟΔΡΑΣ ΨΗΦΙΑΚΟΣ ΕΛΕΓΧΟΣ ΔΙΑΛΕΞΗ 4 ΔΙΑΦΑΝΕΙΑ 1 A Brief History of Sampling Research 1915 - Edmund Taylor Whittaker (1873-1956) devised a

Διαβάστε περισσότερα

Problem Set 9 Solutions. θ + 1. θ 2 + cotθ ( ) sinθ e iφ is an eigenfunction of the ˆ L 2 operator. / θ 2. φ 2. sin 2 θ φ 2. ( ) = e iφ. = e iφ cosθ.

Problem Set 9 Solutions. θ + 1. θ 2 + cotθ ( ) sinθ e iφ is an eigenfunction of the ˆ L 2 operator. / θ 2. φ 2. sin 2 θ φ 2. ( ) = e iφ. = e iφ cosθ. Chemistry 362 Dr Jean M Standard Problem Set 9 Solutions The ˆ L 2 operator is defined as Verify that the angular wavefunction Y θ,φ) Also verify that the eigenvalue is given by 2! 2 & L ˆ 2! 2 2 θ 2 +

Διαβάστε περισσότερα

CHAPTER 48 APPLICATIONS OF MATRICES AND DETERMINANTS

CHAPTER 48 APPLICATIONS OF MATRICES AND DETERMINANTS CHAPTER 48 APPLICATIONS OF MATRICES AND DETERMINANTS EXERCISE 01 Page 545 1. Use matrices to solve: 3x + 4y x + 5y + 7 3x + 4y x + 5y 7 Hence, 3 4 x 0 5 y 7 The inverse of 3 4 5 is: 1 5 4 1 5 4 15 8 3

Διαβάστε περισσότερα

Π Ο Λ Ι Τ Ι Κ Α Κ Α Ι Σ Τ Ρ Α Τ Ι Ω Τ Ι Κ Α Γ Ε Γ Ο Ν Ο Τ Α

Π Ο Λ Ι Τ Ι Κ Α Κ Α Ι Σ Τ Ρ Α Τ Ι Ω Τ Ι Κ Α Γ Ε Γ Ο Ν Ο Τ Α Α Ρ Χ Α Ι Α Ι Σ Τ Ο Ρ Ι Α Π Ο Λ Ι Τ Ι Κ Α Κ Α Ι Σ Τ Ρ Α Τ Ι Ω Τ Ι Κ Α Γ Ε Γ Ο Ν Ο Τ Α Σ η µ ε ί ω σ η : σ υ ν ά δ ε λ φ ο ι, ν α µ ο υ σ υ γ χ ω ρ ή σ ε τ ε τ ο γ ρ ή γ ο ρ ο κ α ι α τ η µ έ λ η τ ο ύ

Διαβάστε περισσότερα

Chapter 6: Systems of Linear Differential. be continuous functions on the interval

Chapter 6: Systems of Linear Differential. be continuous functions on the interval Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations

Διαβάστε περισσότερα

6.4 Superposition of Linear Plane Progressive Waves

6.4 Superposition of Linear Plane Progressive Waves .0 - Marine Hydrodynamics, Spring 005 Lecture.0 - Marine Hydrodynamics Lecture 6.4 Superposition of Linear Plane Progressive Waves. Oblique Plane Waves z v k k k z v k = ( k, k z ) θ (Looking up the y-ais

Διαβάστε περισσότερα

Matrices and Determinants

Matrices and Determinants Matrices and Determinants SUBJECTIVE PROBLEMS: Q 1. For what value of k do the following system of equations possess a non-trivial (i.e., not all zero) solution over the set of rationals Q? x + ky + 3z

Διαβάστε περισσότερα

ST5224: Advanced Statistical Theory II

ST5224: Advanced Statistical Theory II ST5224: Advanced Statistical Theory II 2014/2015: Semester II Tutorial 7 1. Let X be a sample from a population P and consider testing hypotheses H 0 : P = P 0 versus H 1 : P = P 1, where P j is a known

Διαβάστε περισσότερα

Fractional Colorings and Zykov Products of graphs

Fractional Colorings and Zykov Products of graphs Fractional Colorings and Zykov Products of graphs Who? Nichole Schimanski When? July 27, 2011 Graphs A graph, G, consists of a vertex set, V (G), and an edge set, E(G). V (G) is any finite set E(G) is

Διαβάστε περισσότερα

1 String with massive end-points

1 String with massive end-points 1 String with massive end-points Πρόβλημα 5.11:Θεωρείστε μια χορδή μήκους, τάσης T, με δύο σημειακά σωματίδια στα άκρα της, το ένα μάζας m, και το άλλο μάζας m. α) Μελετώντας την κίνηση των άκρων βρείτε

Διαβάστε περισσότερα

On the Galois Group of Linear Difference-Differential Equations

On the Galois Group of Linear Difference-Differential Equations On the Galois Group of Linear Difference-Differential Equations Ruyong Feng KLMM, Chinese Academy of Sciences, China Ruyong Feng (KLMM, CAS) Galois Group 1 / 19 Contents 1 Basic Notations and Concepts

Διαβάστε περισσότερα

Approximation of distance between locations on earth given by latitude and longitude

Approximation of distance between locations on earth given by latitude and longitude Approximation of distance between locations on earth given by latitude and longitude Jan Behrens 2012-12-31 In this paper we shall provide a method to approximate distances between two points on earth

Διαβάστε περισσότερα

6.3 Forecasting ARMA processes

6.3 Forecasting ARMA processes 122 CHAPTER 6. ARMA MODELS 6.3 Forecasting ARMA processes The purpose of forecasting is to predict future values of a TS based on the data collected to the present. In this section we will discuss a linear

Διαβάστε περισσότερα

The wave equation in elastodynamic

The wave equation in elastodynamic The wave equation in elastodynamic Wave propagation in a non-homogeneous anisotropic elastic medium occupying a bounded domain R d, d = 2, 3, with boundary Γ, is described by the linear wave equation:

Διαβάστε περισσότερα

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the

Διαβάστε περισσότερα

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the

Διαβάστε περισσότερα

Numerical Analysis FMN011

Numerical Analysis FMN011 Numerical Analysis FMN011 Carmen Arévalo Lund University carmen@maths.lth.se Lecture 12 Periodic data A function g has period P if g(x + P ) = g(x) Model: Trigonometric polynomial of order M T M (x) =

Διαβάστε περισσότερα

Potential Dividers. 46 minutes. 46 marks. Page 1 of 11

Potential Dividers. 46 minutes. 46 marks. Page 1 of 11 Potential Dividers 46 minutes 46 marks Page 1 of 11 Q1. In the circuit shown in the figure below, the battery, of negligible internal resistance, has an emf of 30 V. The pd across the lamp is 6.0 V and

Διαβάστε περισσότερα

Homework 8 Model Solution Section

Homework 8 Model Solution Section MATH 004 Homework Solution Homework 8 Model Solution Section 14.5 14.6. 14.5. Use the Chain Rule to find dz where z cosx + 4y), x 5t 4, y 1 t. dz dx + dy y sinx + 4y)0t + 4) sinx + 4y) 1t ) 0t + 4t ) sinx

Διαβάστε περισσότερα

[1] P Q. Fig. 3.1

[1] P Q. Fig. 3.1 1 (a) Define resistance....... [1] (b) The smallest conductor within a computer processing chip can be represented as a rectangular block that is one atom high, four atoms wide and twenty atoms long. One

Διαβάστε περισσότερα

Overview. Transition Semantics. Configurations and the transition relation. Executions and computation

Overview. Transition Semantics. Configurations and the transition relation. Executions and computation Overview Transition Semantics Configurations and the transition relation Executions and computation Inference rules for small-step structural operational semantics for the simple imperative language Transition

Διαβάστε περισσότερα

The ε-pseudospectrum of a Matrix

The ε-pseudospectrum of a Matrix The ε-pseudospectrum of a Matrix Feb 16, 2015 () The ε-pseudospectrum of a Matrix Feb 16, 2015 1 / 18 1 Preliminaries 2 Definitions 3 Basic Properties 4 Computation of Pseudospectrum of 2 2 5 Problems

Διαβάστε περισσότερα

Parametrized Surfaces

Parametrized Surfaces Parametrized Surfaces Recall from our unit on vector-valued functions at the beginning of the semester that an R 3 -valued function c(t) in one parameter is a mapping of the form c : I R 3 where I is some

Διαβάστε περισσότερα

Solutions to Exercise Sheet 5

Solutions to Exercise Sheet 5 Solutions to Eercise Sheet 5 jacques@ucsd.edu. Let X and Y be random variables with joint pdf f(, y) = 3y( + y) where and y. Determine each of the following probabilities. Solutions. a. P (X ). b. P (X

Διαβάστε περισσότερα

b. Use the parametrization from (a) to compute the area of S a as S a ds. Be sure to substitute for ds!

b. Use the parametrization from (a) to compute the area of S a as S a ds. Be sure to substitute for ds! MTH U341 urface Integrals, tokes theorem, the divergence theorem To be turned in Wed., Dec. 1. 1. Let be the sphere of radius a, x 2 + y 2 + z 2 a 2. a. Use spherical coordinates (with ρ a) to parametrize.

Διαβάστε περισσότερα

Bayesian statistics. DS GA 1002 Probability and Statistics for Data Science.

Bayesian statistics. DS GA 1002 Probability and Statistics for Data Science. Bayesian statistics DS GA 1002 Probability and Statistics for Data Science http://www.cims.nyu.edu/~cfgranda/pages/dsga1002_fall17 Carlos Fernandez-Granda Frequentist vs Bayesian statistics In frequentist

Διαβάστε περισσότερα

Geodesic Equations for the Wormhole Metric

Geodesic Equations for the Wormhole Metric Geodesic Equations for the Wormhole Metric Dr R Herman Physics & Physical Oceanography, UNCW February 14, 2018 The Wormhole Metric Morris and Thorne wormhole metric: [M S Morris, K S Thorne, Wormholes

Διαβάστε περισσότερα

Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) =

Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) = Mock Eam 7 Mock Eam 7 Section A. Reference: HKDSE Math M 0 Q (a) ( + k) n nn ( )( k) + nk ( ) + + nn ( ) k + nk + + + A nk... () nn ( ) k... () From (), k...() n Substituting () into (), nn ( ) n 76n 76n

Διαβάστε περισσότερα

derivation of the Laplacian from rectangular to spherical coordinates

derivation of the Laplacian from rectangular to spherical coordinates derivation of the Laplacian from rectangular to spherical coordinates swapnizzle 03-03- :5:43 We begin by recognizing the familiar conversion from rectangular to spherical coordinates (note that φ is used

Διαβάστε περισσότερα

Capacitors - Capacitance, Charge and Potential Difference

Capacitors - Capacitance, Charge and Potential Difference Capacitors - Capacitance, Charge and Potential Difference Capacitors store electric charge. This ability to store electric charge is known as capacitance. A simple capacitor consists of 2 parallel metal

Διαβάστε περισσότερα

Depth versus Rigidity in the Design of International Trade Agreements. Leslie Johns

Depth versus Rigidity in the Design of International Trade Agreements. Leslie Johns Depth versus Rigidity in the Design of International Trade Agreements Leslie Johns Supplemental Appendix September 3, 202 Alternative Punishment Mechanisms The one-period utility functions of the home

Διαβάστε περισσότερα

Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1.

Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1. Exercises 0 More exercises are available in Elementary Differential Equations. If you have a problem to solve any of them, feel free to come to office hour. Problem Find a fundamental matrix of the given

Διαβάστε περισσότερα

ω ω ω ω ω ω+2 ω ω+2 + ω ω ω ω+2 + ω ω+1 ω ω+2 2 ω ω ω ω ω ω ω ω+1 ω ω2 ω ω2 + ω ω ω2 + ω ω ω ω2 + ω ω+1 ω ω2 + ω ω+1 + ω ω ω ω2 + ω

ω ω ω ω ω ω+2 ω ω+2 + ω ω ω ω+2 + ω ω+1 ω ω+2 2 ω ω ω ω ω ω ω ω+1 ω ω2 ω ω2 + ω ω ω2 + ω ω ω ω2 + ω ω+1 ω ω2 + ω ω+1 + ω ω ω ω2 + ω 0 1 2 3 4 5 6 ω ω + 1 ω + 2 ω + 3 ω + 4 ω2 ω2 + 1 ω2 + 2 ω2 + 3 ω3 ω3 + 1 ω3 + 2 ω4 ω4 + 1 ω5 ω 2 ω 2 + 1 ω 2 + 2 ω 2 + ω ω 2 + ω + 1 ω 2 + ω2 ω 2 2 ω 2 2 + 1 ω 2 2 + ω ω 2 3 ω 3 ω 3 + 1 ω 3 + ω ω 3 +

Διαβάστε περισσότερα

FEM Method 2/5/13. FEM Method. We will explore: 1 D linear & higher order elements 2 D triangular & rectangular elements

FEM Method 2/5/13. FEM Method. We will explore: 1 D linear & higher order elements 2 D triangular & rectangular elements /5/ FEM Method We will explore: D linear & higher order elements D triangular & rectangular elements Powerful method developed originally to solve structural mechanics problems (e.g. bridges, buildings,

Διαβάστε περισσότερα

HIS series. Signal Inductor Multilayer Ceramic Type FEATURE PART NUMBERING SYSTEM DIMENSIONS HIS R12 (1) (2) (3) (4)

HIS series. Signal Inductor Multilayer Ceramic Type FEATURE PART NUMBERING SYSTEM DIMENSIONS HIS R12 (1) (2) (3) (4) FEATURE High Self Resonant Frequency Superior temperature stability Monolithic structure for high reliability Applications: RF circuit in telecommunication PART NUMBERING SYSTEM HIS 160808 - R12 (1) (2)

Διαβάστε περισσότερα

Statistical Inference I Locally most powerful tests

Statistical Inference I Locally most powerful tests Statistical Inference I Locally most powerful tests Shirsendu Mukherjee Department of Statistics, Asutosh College, Kolkata, India. shirsendu st@yahoo.co.in So far we have treated the testing of one-sided

Διαβάστε περισσότερα

Solutions to the Schrodinger equation atomic orbitals. Ψ 1 s Ψ 2 s Ψ 2 px Ψ 2 py Ψ 2 pz

Solutions to the Schrodinger equation atomic orbitals. Ψ 1 s Ψ 2 s Ψ 2 px Ψ 2 py Ψ 2 pz Solutions to the Schrodinger equation atomic orbitals Ψ 1 s Ψ 2 s Ψ 2 px Ψ 2 py Ψ 2 pz ybridization Valence Bond Approach to bonding sp 3 (Ψ 2 s + Ψ 2 px + Ψ 2 py + Ψ 2 pz) sp 2 (Ψ 2 s + Ψ 2 px + Ψ 2 py)

Διαβάστε περισσότερα

3+1 Splitting of the Generalized Harmonic Equations

3+1 Splitting of the Generalized Harmonic Equations 3+1 Splitting of the Generalized Harmonic Equations David Brown North Carolina State University EGM June 2011 Numerical Relativity Interpret general relativity as an initial value problem: Split spacetime

Διαβάστε περισσότερα

Ηλεκτρονικοί Υπολογιστές IV

Ηλεκτρονικοί Υπολογιστές IV ΠΑΝΕΠΙΣΤΗΜΙΟ ΙΩΑΝΝΙΝΩΝ ΑΝΟΙΚΤΑ ΑΚΑΔΗΜΑΪΚΑ ΜΑΘΗΜΑΤΑ Ηλεκτρονικοί Υπολογιστές IV Δυναμική του χρέους και του ελλείμματος Διδάσκων: Επίκουρος Καθηγητής Αθανάσιος Σταυρακούδης Άδειες Χρήσης Το παρόν εκπαιδευτικό

Διαβάστε περισσότερα

Local Approximation with Kernels

Local Approximation with Kernels Local Approximation with Kernels Thomas Hangelbroek University of Hawaii at Manoa 5th International Conference Approximation Theory, 26 work supported by: NSF DMS-43726 A cubic spline example Consider

Διαβάστε περισσότερα

EE101: Resonance in RLC circuits

EE101: Resonance in RLC circuits EE11: Resonance in RLC circuits M. B. Patil mbatil@ee.iitb.ac.in www.ee.iitb.ac.in/~sequel Deartment of Electrical Engineering Indian Institute of Technology Bombay I V R V L V C I = I m = R + jωl + 1/jωC

Διαβάστε περισσότερα

Risk! " #$%&'() *!'+,'''## -. / # $

Risk!  #$%&'() *!'+,'''## -. / # $ Risk! " #$%&'(!'+,'''## -. / 0! " # $ +/ #%&''&(+(( &'',$ #-&''&$ #(./0&'',$( ( (! #( &''/$ #$ 3 #4&'',$ #- &'',$ #5&''6(&''&7&'',$ / ( /8 9 :&' " 4; < # $ 3 " ( #$ = = #$ #$ ( 3 - > # $ 3 = = " 3 3, 6?3

Διαβάστε περισσότερα

Calculating the propagation delay of coaxial cable

Calculating the propagation delay of coaxial cable Your source for quality GNSS Networking Solutions and Design Services! Page 1 of 5 Calculating the propagation delay of coaxial cable The delay of a cable or velocity factor is determined by the dielectric

Διαβάστε περισσότερα

Lifting Entry 2. Basic planar dynamics of motion, again Yet another equilibrium glide Hypersonic phugoid motion MARYLAND U N I V E R S I T Y O F

Lifting Entry 2. Basic planar dynamics of motion, again Yet another equilibrium glide Hypersonic phugoid motion MARYLAND U N I V E R S I T Y O F ifting Entry Basic planar dynamics of motion, again Yet another equilibrium glide Hypersonic phugoid motion MARYAN 1 010 avid. Akin - All rights reserved http://spacecraft.ssl.umd.edu ifting Atmospheric

Διαβάστε περισσότερα

Pg The perimeter is P = 3x The area of a triangle is. where b is the base, h is the height. In our case b = x, then the area is

Pg The perimeter is P = 3x The area of a triangle is. where b is the base, h is the height. In our case b = x, then the area is Pg. 9. The perimeter is P = The area of a triangle is A = bh where b is the base, h is the height 0 h= btan 60 = b = b In our case b =, then the area is A = = 0. By Pythagorean theorem a + a = d a a =

Διαβάστε περισσότερα