# The challenges of non-stable predicates

Μέγεθος: px
Εμφάνιση ξεκινά από τη σελίδα:

Download "The challenges of non-stable predicates"

## Transcript

1 The challenges of non-stable predicates Consider a non-stable predicate Φ encoding, say, a safety property. We want to determine whether Φ holds for our program.

2 The challenges of non-stable predicates Consider a non-stable predicate Φ encoding, say, a safety property. We want to determine whether Φ holds for our program. Suppose we apply Φ to Σ s

3 The challenges of non-stable predicates Consider a non-stable predicate Φ encoding, say, a safety property. We want to determine whether Φ holds for our program. Suppose we apply Φ to Σ s Σ s Φ holding in does not preclude the possibility that our program violates safety!

4 The challenges of non-stable predicates Consider now a different non-stable predicate Φ. We want to determine whether Φ ever holds during a particular computation. Suppose we apply Φ to Σ s

5 The challenges of non-stable predicates Consider now a different non-stable predicate Φ. We want to determine whether Φ ever holds during a particular computation. Suppose we apply Φ to Σ s Φ holding in Σ s does not imply that Φ ever held during the actual computation!

6 Example x = 3 x = 4 x = 5 e 1 1 e 2 1 e 3 1 e 4 1 e 5 1 e 6 1 e 1 2 e 2 2 e 3 2 e 4 2 e 5 2 y = 6 y = 4 y = 2 Detect whether the following predicates hold: Assume that initially: x = y x = y 2 x = 0; y = 10

7 ccc Possibly x = y 2 Σ 41 Σ 31 Σ Σ Σ 00 Σ 10 Σ 01 Σ 11 Σ 02 Σ 21 Σ 12 Σ 22 Σ 13 Σ 32 Σ 23 Σ 33 Σ 43 Σ 44 Σ 45 Σ 03 Σ s Σ 31 Σ 41 If is or,. x = y 2 is detected, but it may never have occurred Σ 63 Σ 64 Σ 54 Σ 55 Σ 65

8 ccc Possibly x = y 2 Σ 41 Σ 63 Σ 31 Σ Σ Σ 64 Σ 00 Σ 10 Σ 01 Σ 11 Σ 02 Σ 21 Σ 12 Σ 22 Σ 13 Σ 32 Σ 23 Σ 33 Σ 43 Σ 44 Σ 45 Σ 54 Σ 65 Σ 55 Σ 03 Σ s Σ 31 Σ 41 If is or,. x = y 2 is detected, but it may never have occurred Possibly( Φ) There exists a consistent observation of the computation O such that Φ holds in a global state of O

9 Definitely Σ 41 Σ 31 Σ Σ Σ 00 Σ 10 Σ 01 Σ 11 Σ 02 Σ 21 Σ 12 Σ 22 Σ 13 Σ 32 Σ 23 Σ 33 Σ 43 x = y Σ 44 Σ 45 Σ 03 We know that x = y has occurred, but it may not be detected if tested before Σ 32 or after Σ 54 Σ 63 Σ 64 Σ 54 Σ 55 Σ 65

10 Definitely Σ 41 Σ 63 Σ 31 Σ Σ Σ 64 Σ 00 Σ 10 Σ 01 Σ 11 Σ 02 Σ 21 Σ 12 Σ 22 Σ 13 Σ 32 Σ 23 Σ 33 Σ 43 x = y Σ 44 Σ 45 Σ 54 Σ 65 Σ 55 Σ 03 We know that x = y has occurred, but it may not be detected if tested before Σ 32 or after Σ 54 Definitely( Φ) For every consistent observation O of the computation, there exists a global state of O in which Φ holds

11 Computing Possibly Σ 00 Σ 10 Σ 01 Σ 11 Σ 02 Scan lattice, level after level If Φ holds in one global state, then Possibly( Φ) Σ 41 Σ 31 Σ Σ Σ 21 Σ 12 Σ 22 Σ 32 Σ 23 Σ 33 Σ 43 Σ 44 Σ 45 Σ 13 Σ 03 Σ 63 Σ 64 Σ 54 Σ 55 Σ 65

12 Computing Possibly Σ 00 Σ 10 Σ 01 Σ 11 Σ 02 Scan lattice, level after level If Φ holds in one global state, then Possibly( Φ) Σ 41 Σ 31 Σ Σ Σ 21 Σ 12 Σ 22 Σ 32 Σ 23 Σ 33 Σ 43 Σ 44 Σ 45 Σ 13 Σ 03 Σ 63 Σ 64 Σ 54 Σ 55 Σ 65

13 Computing Possibly Σ 00 Σ 10 Σ 01 Σ 11 Σ 02 Scan lattice, level after level If Φ holds in one global state, then Possibly( Φ) Σ 41 Σ 31 Σ Σ Σ 21 Σ 12 Σ 22 Σ 32 Σ 23 Σ 33 Σ 43 Σ 44 Σ 45 Σ 13 Σ 03 Σ 63 Σ 64 Σ 54 Σ 55 Σ 65

14 Computing Possibly Σ 00 Σ 10 Σ 01 Σ 11 Σ 02 Scan lattice, level after level If Φ holds in one global state, then Possibly( Φ) Σ 41 Σ 31 Σ Σ Σ 21 Σ 12 Σ 22 Σ 32 Σ 23 Σ 33 Σ 43 Σ 44 Σ 45 Σ 13 Σ 03 Σ 63 Σ 64 Σ 54 Σ 55 Σ 65

15 Computing Possibly Scan lattice, level after level If Φ holds in one global state, then Possibly( Φ) Σ 41 Σ 63 Σ 31 Σ Σ Σ 64 Σ 00 Σ 10 Σ 01 Σ 21 Σ 32 Σ 11 Σ 02 Σ 22 Σ 43 Σ 33 Σ 54 Σ 65 Σ 12 Σ 23 Σ 44 Σ 45 Σ 55 Possibly (x = y 2) Σ 13 Σ 03

16 Computing Definitely Scan lattice, level after level Σ 00 Σ 10 Σ 01 Σ 11 Σ 02 Σ 41 Σ 31 Σ Σ Σ 21 Σ 12 Σ 22 Σ 32 Σ 23 Σ 33 Σ 43 Σ 44 Σ 45 Σ 13 Σ 03 Σ 63 Σ 64 Σ 54 Σ 55 Σ 65

17 Computing Definitely Scan lattice, level after level Given a level, only expand nodes that correspond to states for which Φ Σ 41 Σ 31 Σ Σ Σ 00 Σ 10 Σ 01 Σ 11 Σ 02 Σ 21 Σ 12 Σ 22 Σ 13 Σ 32 Σ 23 Σ 33 Σ 43 Σ 44 Σ 45 Σ 03 Σ 63 Σ 64 Σ 54 Σ 55 Σ 65

18 Computing Definitely Scan lattice, level after level Given a level, only expand nodes that correspond to states for which Φ If no such state, then Definitely( Φ) Σ l If reached last state, and Φ(Σ l ), then Definitely( Φ) Σ 41 Σ 63 Σ 31 Σ Σ Σ 64 Σ 00 Σ 10 Σ 01 Σ 11 Σ 02 Σ 21 Σ 12 Σ 22 Σ 13 Σ 32 Σ 23 Σ 33 Σ 43 Σ 44 Σ 45 Σ 54 Σ 65 Σ 55 Σ 03

19 Computing Definitely Scan lattice, level after level Given a level, only expand nodes that correspond to states for which Φ If no such state, then Definitely( Φ) Σ l If reached last state, and Φ(Σ l ), then Definitely( Φ) Σ 41 Σ 31 Σ 00 Σ 10 Σ 01 Σ 21 Σ 32 Σ 42 Σ 33 Σ 11 Σ 02 Σ 12 Σ 22 Σ 03 Σ 13 Σ 23 Definitely (x = y)

20 Building the lattice: collecting local states To build the global states in the lattice, collects local states from each process. p 0 p 0 keeps the set of local states received from in a FIFO queue p i Key questions: 1. when is it safe for to discard a local state of? σ k i p i p 0 Q i 2. Given level i of the lattice, how does one build level i + 1?

21 . can Garbage-collecting local states For each local state σ k i, we need to determine: Σ min (σi k )), the earliest consistent state that can belong to σ k i Σ max (σi k )), the latest consistent state that belong to σ k i

22 Defining earliest and latest Consistent Global State

23 Defining earliest and latest Consistent Global State Consistent Cut

24 Defining earliest and latest Consistent Global State Consistent Cut Frontier

25 Defining earliest and latest Consistent Global State Consistent Cut Frontier Vector Clock

26 Defining earliest and latest Consistent Global State Consistent Cut Frontier Vector Clock Associate a vector clock with each consistent global state Σ min (σi k )) is the consistent global state with the lowest vector clock that has on its frontier σ k i Σ max (σi k )) is the one with the highest

27 Computing Σ min [1,0,0] [2,0,0] [3,4,1] [4,4,1] [5,5,5] σ k i [1,3,1] [1,5,1] [1,6,1] [1,0,0] [1,2,0] [1,4,1] [0,0,1] [0,0,2] [1,5,3] [4,5,4] [4,5,5] Label σi k with VC(e k i ) Σ min (σ k i ) = (σ c 1 1, σc 2 2,..., σc n n ) : j : c j = VC(σ k i )[j] Σ min (σ k i ) and σ k i have the same vector clock!

28 Computing Σ max [1,0,0] [2,0,0] [3,4,1] [4,4,1] [5,5,5] [1,3,1] [1,5,1] σ k i [1,6,1] [1,0,0] [1,2,0] [1,4,1] [0,0,1] [0,0,2] [1,5,3] [4,5,4] [4,5,5] Σ max (σ k i ) = (σ c 1 1, σc 2 2,... σc n n ) : j : VC(σ c j j )[i] VC(σk i )[i] ((σ c j j = σ c f j ) VC(σc j+1 j )[i] > VC(σi k )[i]))

29 Computing Σ max [1,0,0] [2,0,0] [3,4,1] [4,4,1] [5,5,5] [1,3,1] [1,5,1] σ k i [1,6,1] [1,0,0] [1,2,0] [1,4,1] [0,0,1] [0,0,2] [1,5,3] [4,5,4] [4,5,5] Σ max (σ k i ) = (σ c 1 1, σc 2 2,... σc n n ) : j : VC(σ c j j )[i] VC(σk i )[i] ((σ c j j set of local states one for each process, s.t. = σ c f j ) VC(σc j+1 j )[i] > VC(σi k )[i]))

30 Computing Σ max [1,0,0] [2,0,0] [3,4,1] [4,4,1] [5,5,5] [1,3,1] [1,5,1] σ k i [1,6,1] [1,0,0] [1,2,0] [1,4,1] [0,0,1] [0,0,2] [1,5,3] [4,5,4] [4,5,5] Σ max (σ k i ) = (σ c 1 1, σc 2 2,... σc n n ) : j : VC(σ c j j )[i] VC(σk i )[i] ((σ c j j = σ c f j ) VC(σc j+1 j )[i] > VC(σi k )[i])) set of local states one for each process, s.t. all local states are pairwise consistent with σ k i

31 Computing Σ max [1,0,0] [2,0,0] [3,4,1] [4,4,1] [5,5,5] [1,3,1] [1,5,1] σ k i [1,6,1] [1,0,0] [1,2,0] [1,4,1] [0,0,1] [0,0,2] [1,5,3] [4,5,4] [4,5,5] Σ max (σ k i ) = (σ c 1 1, σc 2 2,... σc n n ) : j : VC(σ c j j )[i] VC(σk i )[i] ((σ c j j = σ c f j ) VC(σc j+1 j )[i] > VC(σi k )[i])) set of local states one for each process, s.t. all local states are pairwise consistent with σ k i and they are the last such state

32 Assembling the levels To build level l wait until each Q i contains a local state for whose vector clock: n i=1 VC[i] l To build level l + 1 For each global state i1,i 2,...,i n on level l, build i1 +1,i 2,...,i n, i 1,i 2 +1,...,i n,..., i 1,i 2,...,i n +1 Using VC s, check whether these global states are consistent

### Bounding Nonsplitting Enumeration Degrees

Bounding Nonsplitting Enumeration Degrees Thomas F. Kent Andrea Sorbi Università degli Studi di Siena Italia July 18, 2007 Goal: Introduce a form of Σ 0 2-permitting for the enumeration degrees. Till now,

Διαβάστε περισσότερα

### 2 Composition. Invertible Mappings

Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Composition. Invertible Mappings In this section we discuss two procedures for creating new mappings from old ones, namely,

Διαβάστε περισσότερα

### ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 19/5/2007

Οδηγίες: Να απαντηθούν όλες οι ερωτήσεις. Αν κάπου κάνετε κάποιες υποθέσεις να αναφερθούν στη σχετική ερώτηση. Όλα τα αρχεία που αναφέρονται στα προβλήματα βρίσκονται στον ίδιο φάκελο με το εκτελέσιμο

Διαβάστε περισσότερα

### 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

### 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

### Physical DB Design. B-Trees Index files can become quite large for large main files Indices on index files are possible.

B-Trees Index files can become quite large for large main files Indices on index files are possible 3 rd -level index 2 nd -level index 1 st -level index Main file 1 The 1 st -level index consists of pairs

Διαβάστε περισσότερα

### 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

### 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

### 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

### ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 6/5/2006

Οδηγίες: Να απαντηθούν όλες οι ερωτήσεις. Ολοι οι αριθμοί που αναφέρονται σε όλα τα ερωτήματα είναι μικρότεροι το 1000 εκτός αν ορίζεται διαφορετικά στη διατύπωση του προβλήματος. Διάρκεια: 3,5 ώρες Καλή

Διαβάστε περισσότερα

### 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

### 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

### Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1

Eon : Fall 8 Suggested Solutions to Problem Set 8 Email questions or omments to Dan Fetter Problem. Let X be a salar with density f(x, θ) (θx + θ) [ x ] with θ. (a) Find the most powerful level α test

Διαβάστε περισσότερα

### 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

### Jordan Form of a Square Matrix

Jordan Form of a Square Matrix Josh Engwer Texas Tech University josh.engwer@ttu.edu June 3 KEY CONCEPTS & DEFINITIONS: R Set of all real numbers C Set of all complex numbers = {a + bi : a b R and i =

Διαβάστε περισσότερα

### 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

### 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 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

### 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

### 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

### 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

### About these lecture notes. Simply Typed λ-calculus. Types

About these lecture notes Simply Typed λ-calculus Akim Demaille akim@lrde.epita.fr EPITA École Pour l Informatique et les Techniques Avancées Many of these slides are largely inspired from Andrew D. Ker

Διαβάστε περισσότερα

### 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

### 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

### Other Test Constructions: Likelihood Ratio & Bayes Tests

Other Test Constructions: Likelihood Ratio & Bayes Tests Side-Note: So far we have seen a few approaches for creating tests such as Neyman-Pearson Lemma ( most powerful tests of H 0 : θ = θ 0 vs H 1 :

Διαβάστε περισσότερα

### Practice Exam 2. Conceptual Questions. 1. State a Basic identity and then verify it. (a) Identity: Solution: One identity is csc(θ) = 1

Conceptual Questions. State a Basic identity and then verify it. a) Identity: Solution: One identity is cscθ) = sinθ) Practice Exam b) Verification: Solution: Given the point of intersection x, y) of the

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 Jan Behrens 2012-12-31 In this paper we shall provide a method to approximate distances between two points on earth

Διαβάστε περισσότερα

### 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

### 12. Radon-Nikodym Theorem

Tutorial 12: Radon-Nikodym Theorem 1 12. Radon-Nikodym Theorem In the following, (Ω, F) is an arbitrary measurable space. Definition 96 Let μ and ν be two (possibly complex) measures on (Ω, F). We say

Διαβάστε περισσότερα

### 2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p)

Uppsala Universitet Matematiska Institutionen Andreas Strömbergsson Prov i matematik Funktionalanalys Kurs: F3B, F4Sy, NVP 2005-03-08 Skrivtid: 9 14 Tillåtna hjälpmedel: Manuella skrivdon, Kreyszigs bok

Διαβάστε περισσότερα

### ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ. Ψηφιακή Οικονομία. Διάλεξη 7η: Consumer Behavior Mαρίνα Μπιτσάκη Τμήμα Επιστήμης Υπολογιστών

ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ Ψηφιακή Οικονομία Διάλεξη 7η: Consumer Behavior Mαρίνα Μπιτσάκη Τμήμα Επιστήμης Υπολογιστών Τέλος Ενότητας Χρηματοδότηση Το παρόν εκπαιδευτικό υλικό έχει αναπτυχθεί

Διαβάστε περισσότερα

### Problem Set 3: Solutions

CMPSCI 69GG Applied Information Theory Fall 006 Problem Set 3: Solutions. [Cover and Thomas 7.] a Define the following notation, C I p xx; Y max X; Y C I p xx; Ỹ max I X; Ỹ We would like to show that C

Διαβάστε περισσότερα

### 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

### Homomorphism of Intuitionistic Fuzzy Groups

International Mathematical Forum, Vol. 6, 20, no. 64, 369-378 Homomorphism o Intuitionistic Fuzz Groups P. K. Sharma Department o Mathematics, D..V. College Jalandhar Cit, Punjab, India pksharma@davjalandhar.com

Διαβάστε περισσότερα

### 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

### 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

### 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

### 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

### Strukturalna poprawność argumentu.

Strukturalna poprawność argumentu. Marcin Selinger Uniwersytet Wrocławski Katedra Logiki i Metodologii Nauk marcisel@uni.wroc.pl Table of contents: 1. Definition of argument and further notions. 2. Operations

Διαβάστε περισσότερα

### Μηχανική Μάθηση Hypothesis Testing

ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ Μηχανική Μάθηση Hypothesis Testing Γιώργος Μπορμπουδάκης Τμήμα Επιστήμης Υπολογιστών Procedure 1. Form the null (H 0 ) and alternative (H 1 ) hypothesis 2. Consider

Διαβάστε περισσότερα

### 3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β

3.4 SUM AND DIFFERENCE FORMULAS Page Theorem cos(αβ cos α cos β -sin α cos(α-β cos α cos β sin α NOTE: cos(αβ cos α cos β cos(α-β cos α -cos β Proof of cos(α-β cos α cos β sin α Let s use a unit circle

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!

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

### Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in : tail in X, head in A nowhere-zero Γ-flow is a Γ-circulation such that

Διαβάστε περισσότερα

### Uniform Convergence of Fourier Series Michael Taylor

Uniform Convergence of Fourier Series Michael Taylor Given f L 1 T 1 ), we consider the partial sums of the Fourier series of f: N 1) S N fθ) = ˆfk)e ikθ. k= N A calculation gives the Dirichlet formula

Διαβάστε περισσότερα

### 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

### 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

### Block Ciphers Modes. Ramki Thurimella

Block Ciphers Modes Ramki Thurimella Only Encryption I.e. messages could be modified Should not assume that nonsensical messages do no harm Always must be combined with authentication 2 Padding Must be

Διαβάστε περισσότερα

### SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr (T t N n) Pr (max (X 1,..., X N ) t N n) Pr (max

Διαβάστε περισσότερα

### ORDINAL ARITHMETIC JULIAN J. SCHLÖDER

ORDINAL ARITHMETIC JULIAN J. SCHLÖDER Abstract. We define ordinal arithmetic and show laws of Left- Monotonicity, Associativity, Distributivity, some minor related properties and the Cantor Normal Form.

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

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

### 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

### Συστήματα Διαχείρισης Βάσεων Δεδομένων

ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ Συστήματα Διαχείρισης Βάσεων Δεδομένων Φροντιστήριο 9: Transactions - part 1 Δημήτρης Πλεξουσάκης Τμήμα Επιστήμης Υπολογιστών Tutorial on Undo, Redo and Undo/Redo

Διαβάστε περισσότερα

### TMA4115 Matematikk 3

TMA4115 Matematikk 3 Andrew Stacey Norges Teknisk-Naturvitenskapelige Universitet Trondheim Spring 2010 Lecture 12: Mathematics Marvellous Matrices Andrew Stacey Norges Teknisk-Naturvitenskapelige Universitet

Διαβάστε περισσότερα

### 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

### ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 24/3/2007

Οδηγίες: Να απαντηθούν όλες οι ερωτήσεις. Όλοι οι αριθμοί που αναφέρονται σε όλα τα ερωτήματα μικρότεροι του 10000 εκτός αν ορίζεται διαφορετικά στη διατύπωση του προβλήματος. Αν κάπου κάνετε κάποιες υποθέσεις

Διαβάστε περισσότερα

### Εγκατάσταση λογισμικού και αναβάθμιση συσκευής Device software installation and software upgrade

Για να ελέγξετε το λογισμικό που έχει τώρα η συσκευή κάντε κλικ Menu > Options > Device > About Device Versions. Στο πιο κάτω παράδειγμα η συσκευή έχει έκδοση λογισμικού 6.0.0.546 με πλατφόρμα 6.6.0.207.

Διαβάστε περισσότερα

### 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

### On a four-dimensional hyperbolic manifold with finite volume

BULETINUL ACADEMIEI DE ŞTIINŢE A REPUBLICII MOLDOVA. MATEMATICA Numbers 2(72) 3(73), 2013, Pages 80 89 ISSN 1024 7696 On a four-dimensional hyperbolic manifold with finite volume I.S.Gutsul Abstract. In

Διαβάστε περισσότερα

### Models for Probabilistic Programs with an Adversary

Models for Probabilistic Programs with an Adversary Robert Rand, Steve Zdancewic University of Pennsylvania Probabilistic Programming Semantics 2016 Interactive Proofs 2/47 Interactive Proofs 2/47 Interactive

Διαβάστε περισσότερα

### 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

### 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

### Section 7.6 Double and Half Angle Formulas

09 Section 7. Double and Half Angle Fmulas To derive the double-angles fmulas, we will use the sum of two angles fmulas that we developed in the last section. We will let α θ and β θ: cos(θ) cos(θ + θ)

Διαβάστε περισσότερα

### ΕΙΣΑΓΩΓΗ ΣΤΗ ΣΤΑΤΙΣΤΙΚΗ ΑΝΑΛΥΣΗ

ΕΙΣΑΓΩΓΗ ΣΤΗ ΣΤΑΤΙΣΤΙΚΗ ΑΝΑΛΥΣΗ ΕΛΕΝΑ ΦΛΟΚΑ Επίκουρος Καθηγήτρια Τµήµα Φυσικής, Τοµέας Φυσικής Περιβάλλοντος- Μετεωρολογίας ΓΕΝΙΚΟΙ ΟΡΙΣΜΟΙ Πληθυσµός Σύνολο ατόµων ή αντικειµένων στα οποία αναφέρονται

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 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

### Congruence Classes of Invertible Matrices of Order 3 over F 2

International Journal of Algebra, Vol. 8, 24, no. 5, 239-246 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/.2988/ija.24.422 Congruence Classes of Invertible Matrices of Order 3 over F 2 Ligong An and

Διαβάστε περισσότερα

### 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

### A Bonus-Malus System as a Markov Set-Chain. Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics

A Bonus-Malus System as a Markov Set-Chain Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics Contents 1. Markov set-chain 2. Model of bonus-malus system 3. Example 4. Conclusions

Διαβάστε περισσότερα

### LTL to Buchi. Overview. Buchi Model Checking LTL Translating LTL into Buchi. Ralf Huuck. Buchi Automata. Example

Overview LTL to Buchi Buchi Model Checking LTL Translating LTL into Buchi Ralf Huuck Buchi Automata Example Automaton which accepts infinite traces δ A Buchi automaton is 5-tuple Σ, Q, Q 0,δ, F Σ is a

Διαβάστε περισσότερα

### 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

### ( ) 2 and compare to M.

Problems and Solutions for Section 4.2 4.9 through 4.33) 4.9 Calculate the square root of the matrix 3!0 M!0 8 Hint: Let M / 2 a!b ; calculate M / 2!b c ) 2 and compare to M. Solution: Given: 3!0 M!0 8

Διαβάστε περισσότερα

### 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

### ( 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

### k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R +

Chapter 3. Fuzzy Arithmetic 3- Fuzzy arithmetic: ~Addition(+) and subtraction (-): Let A = [a and B = [b, b in R If x [a and y [b, b than x+y [a +b +b Symbolically,we write A(+)B = [a (+)[b, b = [a +b

Διαβάστε περισσότερα

### 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

### 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

### SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr T t N n) Pr max X 1,..., X N ) t N n) Pr max

Διαβάστε περισσότερα

### ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =?

Teko Classes IITJEE/AIEEE Maths by SUHAAG SIR, Bhopal, Ph (0755) 3 00 000 www.tekoclasses.com ANSWERSHEET (TOPIC DIFFERENTIAL CALCULUS) COLLECTION # Question Type A.Single Correct Type Q. (A) Sol least

Διαβάστε περισσότερα

### 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

### The Probabilistic Method - Probabilistic Techniques. Lecture 7: The Janson Inequality

The Probabilistic Method - Probabilistic Techniques Lecture 7: The Janson Inequality Sotiris Nikoletseas Associate Professor Computer Engineering and Informatics Department 2014-2015 Sotiris Nikoletseas,

Διαβάστε περισσότερα

### Lecture 21: Properties and robustness of LSE

Lecture 21: Properties and robustness of LSE BLUE: Robustness of LSE against normality We now study properties of l τ β and σ 2 under assumption A2, i.e., without the normality assumption on ε. From Theorem

Διαβάστε περισσότερα

### Instruction Execution Times

1 C Execution Times InThisAppendix... Introduction DL330 Execution Times DL330P Execution Times DL340 Execution Times C-2 Execution Times Introduction Data Registers This appendix contains several tables

Διαβάστε περισσότερα

### Durbin-Levinson recursive method

Durbin-Levinson recursive method A recursive method for computing ϕ n is useful because it avoids inverting large matrices; when new data are acquired, one can update predictions, instead of starting again

Διαβάστε περισσότερα

### Right Rear Door. Let's now finish the door hinge saga with the right rear door

Right Rear Door Let's now finish the door hinge saga with the right rear door You may have been already guessed my steps, so there is not much to describe in detail. Old upper one file:///c /Documents

Διαβάστε περισσότερα

### Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics

Fourier Series MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2018 Introduction Not all functions can be represented by Taylor series. f (k) (c) A Taylor series f (x) = (x c)

Διαβάστε περισσότερα

### Αλγόριθμοι και πολυπλοκότητα NP-Completeness (2)

ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ Αλγόριθμοι και πολυπλοκότητα NP-Completeness (2) Ιωάννης Τόλλης Τμήμα Επιστήμης Υπολογιστών NP-Completeness (2) x 1 x 1 x 2 x 2 x 3 x 3 x 4 x 4 12 22 32 11 13 21

Διαβάστε περισσότερα

### [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

### The Pohozaev identity for the fractional Laplacian

The Pohozaev identity for the fractional Laplacian Xavier Ros-Oton Departament Matemàtica Aplicada I, Universitat Politècnica de Catalunya (joint work with Joaquim Serra) Xavier Ros-Oton (UPC) The Pohozaev

Διαβάστε περισσότερα

### Locking to ensure serializability

Locking to ensure serializability Concurrent access to database items is controlled by strategies based on locking, timestamping or certification A lock is an access privilege to a single database item

Διαβάστε περισσότερα

### 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

### ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ. Ψηφιακή Οικονομία. Διάλεξη 10η: Basics of Game Theory part 2 Mαρίνα Μπιτσάκη Τμήμα Επιστήμης Υπολογιστών

ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ Ψηφιακή Οικονομία Διάλεξη 0η: Basics of Game Theory part 2 Mαρίνα Μπιτσάκη Τμήμα Επιστήμης Υπολογιστών Best Response Curves Used to solve for equilibria in games

Διαβάστε περισσότερα

### MINIMAL CLOSED SETS AND MAXIMAL CLOSED SETS

MINIMAL CLOSED SETS AND MAXIMAL CLOSED SETS FUMIE NAKAOKA AND NOBUYUKI ODA Received 20 December 2005; Revised 28 May 2006; Accepted 6 August 2006 Some properties of minimal closed sets and maximal closed

Διαβάστε περισσότερα

### Η ΠΡΟΣΩΠΙΚΗ ΟΡΙΟΘΕΤΗΣΗ ΤΟΥ ΧΩΡΟΥ Η ΠΕΡΙΠΤΩΣΗ ΤΩΝ CHAT ROOMS

ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΤΕΧΝΟΛΟΓΙΚΟ ΕΚΠΑΙΔΕΥΤΙΚΟ ΙΔΡΥΜΑ Ι Ο Ν Ι Ω Ν Ν Η Σ Ω Ν ΤΜΗΜΑ ΔΗΜΟΣΙΩΝ ΣΧΕΣΕΩΝ & ΕΠΙΚΟΙΝΩΝΙΑΣ Ταχ. Δ/νση : ΑΤΕΙ Ιονίων Νήσων- Λεωφόρος Αντώνη Τρίτση Αργοστόλι Κεφαλληνίας, Ελλάδα 28100,+30

Διαβάστε περισσότερα

### Case 1: Original version of a bill available in only one language.

currentid originalid attributes currentid attribute is used to identify an element and must be unique inside the document. originalid is used to mark the identifier that the structure used to have in the

Διαβάστε περισσότερα

### Η ΨΥΧΙΑΤΡΙΚΗ - ΨΥΧΟΛΟΓΙΚΗ ΠΡΑΓΜΑΤΟΓΝΩΜΟΣΥΝΗ ΣΤΗΝ ΠΟΙΝΙΚΗ ΔΙΚΗ

ΑΡΙΣΤΟΤΕΛΕΙΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΘΕΣΣΑΛΟΝΙΚΗΣ ΝΟΜΙΚΗ ΣΧΟΛΗ ΠΡΟΓΡΑΜΜΑ ΜΕΤΑΠΤΥΧΙΑΚΩΝ ΣΠΟΥΔΩΝ ΤΟΜΕΑΣ ΙΣΤΟΡΙΑΣ ΦΙΛΟΣΟΦΙΑΣ ΚΑΙ ΚΟΙΝΩΝΙΟΛΟΓΙΑΣ ΤΟΥ ΔΙΚΑΙΟΥ Διπλωματική εργασία στο μάθημα «ΚΟΙΝΩΝΙΟΛΟΓΙΑ ΤΟΥ ΔΙΚΑΙΟΥ»

Διαβάστε περισσότερα

### ( )( ) ( ) ( )( ) ( )( ) β = Chapter 5 Exercise Problems EX α So 49 β 199 EX EX EX5.4 EX5.5. (a)

hapter 5 xercise Problems X5. α β α 0.980 For α 0.980, β 49 0.980 0.995 For α 0.995, β 99 0.995 So 49 β 99 X5. O 00 O or n 3 O 40.5 β 0 X5.3 6.5 μ A 00 β ( 0)( 6.5 μa) 8 ma 5 ( 8)( 4 ) or.88 P on + 0.0065

Διαβάστε περισσότερα

### A Hierarchy of Theta Bodies for Polynomial Systems

A Hierarchy of Theta Bodies for Polynomial Systems Rekha Thomas, U Washington, Seattle Joint work with João Gouveia (U Washington) Monique Laurent (CWI) Pablo Parrilo (MIT) The Theta Body of a Graph G

Διαβάστε περισσότερα

### ΠΑΝΕΠΙΣΤΗΜΙΟ ΘΕΣΣΑΛΙΑΣ ΤΜΗΜΑ ΠΟΛΙΤΙΚΩΝ ΜΗΧΑΝΙΚΩΝ ΤΟΜΕΑΣ ΥΔΡΑΥΛΙΚΗΣ ΚΑΙ ΠΕΡΙΒΑΛΛΟΝΤΙΚΗΣ ΤΕΧΝΙΚΗΣ. Ειδική διάλεξη 2: Εισαγωγή στον κώδικα της εργασίας

ΠΑΝΕΠΙΣΤΗΜΙΟ ΘΕΣΣΑΛΙΑΣ ΤΜΗΜΑ ΠΟΛΙΤΙΚΩΝ ΜΗΧΑΝΙΚΩΝ ΤΟΜΕΑΣ ΥΔΡΑΥΛΙΚΗΣ ΚΑΙ ΠΕΡΙΒΑΛΛΟΝΤΙΚΗΣ ΤΕΧΝΙΚΗΣ Ειδική διάλεξη 2: Εισαγωγή στον κώδικα της εργασίας Χειμερινό εξάμηνο 2008 Αρχίζοντας... Αρχίζοντας... http://folk.ntnu.no/nilsol/ssiim/

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 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

### CE 530 Molecular Simulation

C 53 olecular Siulation Lecture Histogra Reweighting ethods David. Kofke Departent of Cheical ngineering SUNY uffalo kofke@eng.buffalo.edu Histogra Reweighting ethod to cobine results taken at different

Διαβάστε περισσότερα