we consider that a_{u}=0, this make the search paths more flexible and will take the form: x_{iu}(t)=[t/2]R_{u}cos t; #5 x_{ju}(t)=[t/2]R_{u}sin t; #6 x_{ku}(t)=q_{u}sin(_{u}t), #7 see figure 2. Assuming that the searchers motion is independent of the target motion and is not specifically directed toward escape. Moreover, it is to be noted that S_{u}'s path intersects the target's path at maximum number of points, if the speed of each searcher is much larger than the target's speed and E(|X₀₁X₀₂...X_{0N}|) (the N^{th} order moment of the target's initial position) is finite. Also, let the first meeting time be a random variable valued in ℝ⁺ and it will happen at the position min(B₁(t),B₂(t),...,B_{N}(t)) through the …show more content…
After time t, in the first revolution S_{u} will arrive to the point ([t/2]R_{u}cos t,[t/2]R_{u}sin t,q_{u}sin(_{u}t)]). To calculate the volume within _{1u} of the searching path we take the volume element r_{u}dtdr_{u}dx_{ku} (see, figure 3) and integrate it over the domain included by _{1u} as in Theorem 1. Theorem 1 For the slinky-turn-spiral searching paths of S_{u},u=1,2,...,N, the total volume between the spiral revolutions _{u} and _{(-1)u},=1,2,... is ((²(6-1)q_{u}R_{u}²)/2). By using the polar coordinates we get the volume between _{u} and _{(-1)u} as, V_{iu}=∫_{-q_{u}}^{q_{u}}∫₂₍₋₁₎²∫_{((R_{u}(t+(-1)))/2)}^{((R_{u}(t+))/2)}r_{u}dtdr_{u}dx_{ku} =((q_{u}R_{u}²)/4)∫₂₍₋₁₎²[(2+1)+2t]dt =((²(6-1)q_{u}R_{u}²)/2). It is clear that the volume between _{u} and _{(-1)u} is depending on q_{u},R_{u} and (the number of the revolution). Also, we notice that for the complete revolution _{u}, there exists a relationship between the random distance L_{u} (the distance between the target position at time t and the origin (searcher's starting point)) and the revolution number m_{u}. [Figure] [Figure] (a) (b) Fig. 3: (a) S_{u}′s position at time t and t+2; and (b) The projection of the volume element on …show more content…
The leaping in the first revolution _{1u} is given by ((tR_{u})/2)-0 and the leaping in _{2u} is given by (((t+2)R_{u})/2)-((tR_{u})/2). Furthermore, the leaping in _{um_{u}} is given by ((R_{u}(t+m_{u}))/2)-((R_{u}(t+(m_{u}-1)))/2). Then, the distance L_{u} is given by: L_{u} =((tR_{u})/2)-0+(((t+2)R_{u})/2)-((tR_{u})/2)+...+((R_{u}(t+m_{u}))/2)-((R_{u}(t+(m_{u}-1)))/2)=((R_{u}(t+m_{u}))/2). Let the search plan that S_{u},u=1,2,...,N follow be the combination of continuous functions (t)=(₁(t),₂(t),...,_{N}(t)) with speed vector [v₁,v₂,...,v_{N}] and given by (t):ℝ⁺→ℝ such that |_{u}(t)| 0 the curvature peaks generally decrease by increasing the value of
1) Initialise the reconstruction words am as per the number of quantization levels that are present for the given quantizer.
Question 27: The fact that processes tend to be dynamic, rather than static, is a key principle of statistical thinking. Which of the following is a natural consequence of this fact?
Secondly, when n=2^(k+1), where k is a nonnegative Integer, we have F(2^(k+1) )≤4*F(2^k )+2^(k+1). We can prove that the function F(n) satisfies the propertyP: ∀k∈N,F(2^k )≤4^(k+1)*F(0)+S_k, where S_k is the k^th term of a sequence of integers 〖(S_m)〗_(m=0)^(+∞) that we will calculate later:
We use $\mathscr{A}_I \subseteq \Im_I$ to denote the collection that contains an optimal solution at node
In the unit, called cookies, I have come across many mathematical concepts when doing the math problems. Inequalities were one of the concepts. Inequalities are the relation between two equations that are not equal. One of the first things that were done was to guess and check using random numbers to find the highest number of combinations that would still make the inequalities true. Also, in this unit it reviewed how to place inequalities on number lines; the open circle in inequalities represents greater than or less than and the closed circle in inequalities shows that it is either greater than or equal to or less than or equal to.Another mathematical concept is Systems of Equations. Systems of Equations are equations you deal with altogether
If we clearly view the problems we can see that the problem A is faster, then B. The reason is A have a clear end and it takes few steps to reach it, but problem B have almost unlimited values and it takes a huge time to reach there. This is the reason A is much faster then B. Let’s figure it out mathematically.
In fact, as can be seen in Tables \ref{TablaALINEA} and \ref{TablaPI}, there are not any values of the parameters that are able to perform properly (in terms of TTS reduction) for the entire set of scenarios.
This week, many topics have been discussed in class with the importance of understanding context and analyzing visual texts. On Monday, in a class discussion we read a letter from Jourdon Anderson and looking at five different cereal boxes. The letter was from an old servant, provoke the Colonel. The former “employee” Jourdon to come back and work. Instead of accepting the opportunity, Jourdan decline the offer. He didn’t want to come back to work, because he is worried for his children’s safety. Even though, he doesn’t have a good life. He rather be where he is at right now and not moving to where his former employee at. The way he talks about his life, his jobs, his family, and how he appreciated the offer is different many other letters. The reader can imagine Jourdan’s feeling, emotion when he wrote the letter, and by the words he used. The reader can imagine how his former employee will feel when he read the letter. Remember when the time I was beaten until you bowed down on my feet and pray to live? I find that this letter is very interesting.
I have put some suggestive solutions or at least some hints for the past exam papers starting from year 2004. In so doing, I emphasize T 1, T 2 and T 3 of 2010, T 1 and T 2 year 2009, S1 and S2 of year 2008, S1 and S2 of year 2007, S1 and S2 of year 2006 — these past exam papers are more relevant to our current courses as we have used the same textbook, course outline and study guide. Please ignore the multiplier questions as those questions are not relevant for our final exam. I also encourage my students to go through all those elive sessions (recorded by myself). These elive sessions will refresh your memory as well as help you to understand the
Describe in your graph of position vs. time when this would occur. (Hint: Is the slope of the tangent line to the curve positive or negative?)
The author, Leonid Fridman, has a Ph.D. in applied mathematics from the Institute of Control Science, Moscow, Russia,
As the author continuously integrates
The maximum concentration of sediment calculated using equation 9 is compared to the concentration of sediment in the reach at the beginning of the time step, concsed, ch, i . If
Setting of the problem. Let [1] be a compact, connected Riemannian manifold, [1] its tangent bundle, and [1] a finite set of modes. The (multimodal) Lagrangian, [1], is, for each [1], a Tonelli Lagrangian, [1], prescribing the running cost at the mode “[1]”. The switching cost is given by the function [1]. A trajectory, [1] determines both state and mode at each time. We denote by [1] the set of all absolutely continuous curves from [1] into [1], and by [1] the set of all piecewise constant functions on [1] taking values on [1]. More precisely, [1] if there exists a partition [1] of [1] such that [1]. In other words, [1] can jump in the interval [1] only at the times [1] (note that [1] is allowed to jump also at the initial and
Abstract. This paper presents the cooperation between two searchers at the origin to seek for a random walk moving target on the line. Any information of the target position is not available to the searchers all the time. Rather than finding the conditions that make the expected value of the first meeting time between one of the searchers and the target is finite, we show the existence of the optimal search strategy which minimizes this first meeting time. The effectiveness of this model is illustrated using numerical example.