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stephen curtis

stephen c.

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Express as a trinomial. \[ (x+2)(3 x+1) \]

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Please do this solution properly and give me the solution Useless Nodes It is reasonable to restrict our flow networks to graphs G = (V, E) where every node u is on some path from the source to the sink. That is, for all u ∈ V, s → u → t. Suppose that we have a flow network where this is not the case. That is, there are some useless nodes that are not on any path from the source s to the sink t. Intuitively, useless nodes could not be part of any maximum flow because any flow sent from s to u would get stuck, thus violating flow conservation somewhere. To support this intuition, we want to show that for any flow network G, there is a maximum flow in G where the flow into and the flow out of every useless node is zero. Let G = (V, E) be any flow network. We define the following sets: A = {u ∈ V | s and u → t} // u is on a path from s to t X = {u ∈ V | s but u → t} // u is reachable from s, but cannot reach t Y = {u ∈ V | s and u → t} // u is not reachable from s, and cannot reach t Z = {u ∈ V | u → t but s ∼ u} // u can reach t, but is not reachable from s Note that A, X, Y, and Z are pairwise disjoint. The nodes in X, Y, and Z are all useless by our definition. Also, s and t are nodes in A. Assignment: 1. Give an example of a flow f in a flow network G where the flow into and out of some nodes in Y are non-zero. Make sure your flow f satisfies flow conservation. 2. Argue that despite your example above, for every flow network G, there is a maximum flow where the flow into and the flow out of every u ∈ Y is zero. 3. Recall that for a cut (S, T), the net flow across this cut is denoted by f(S, T): CS - CT CS - CT Furthermore, recall that |f| is the flow value and that we showed in the proof of the Max Flow Min Cut Theorem that for any cut (S, T). f = f(S, T) Consider the cut (S, T) where S = A ∪ Y ∪ Z ∪ {t} and T = X ∪ {t}. Use the formulas above to show that the flow into X must be zero. I.e., ∀u ∈ S, ∀v ∈ X, f(u, v) = 0. Hint: first show that Σf(a, v) = 0. u ∈ S, v ∈ X Also, for convenience, assume that there are no edges into the source s and no edges out of the sink t. 4. Argue that for any flow network G, there is a maximum flow where the flow into and the flow out of every u ∈ X is zero. 5. Argue that for any flow network G, there is a maximum flow where the flow into and the flow out of every useless node is zero. (Thus, conclude that, as far as the maximum flow is concerned, useless nodes are indeed useless.)

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There are general and specific disturbances in parenting that impact the development of disruptive behaviors in childhood. One of the known specific disturbances in parenting includes: Parent mental health problems, Excessive use of harsh discipline, Marital discord, Sibling history of conduct problems.

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Question 84 1 pts Match the diagram labels to the best descriptive terms. A B C D Overall, this diagram is an illustration of Question 84 1pts Match the diagram labels to the best descriptive terms B A D [Choose] B [-Choose] C [Choose] D [Choose] Overall, this diagram is an illustration of [Choose]

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Solve the equation by factoring, if required. (Enter your answers as a comma-separated list.) $(y - 2)(y - 7) = 0$ y =

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.. 17.7 A manufacturer of touch screens for tablets wants a MTBF of at least 50 000 hours. Recent test results for 10 units were one failure at 10 000 hrs, another at 25 000 hrs, and two more at 45 000 hrs. The remaining units were still running at 60 000 hours. Determine the following: a) Percentage of failures b) Number of failures per unit-hour c) MTBF at this point in the testing

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6. (5 pts each) Predict the NMR spectrum of the following compound under each of the following assumptions. (students need to show the splitting patterns, integral, and labels for each peak clearly. Approximate chemical shift and coupling constant will be fine.) (a) $J_{ab} = J_{bc}$ 10 5 0 (b) $J_{ab} \neq J_{bc}$ 10 5 0

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4. Consider the following two simple linear regression models $Y_i = \beta_1 + \beta_2 X_i + e_i$ (1) and $Y_i = \alpha_2 X_i + u_i$ (2) Assume that the regression errors $e_i$ (mean zero and variance $\sigma^2$) and $u_i$ (mean zero and variance $\sigma^2$) satisfy the classical assumptions. $\hat{e}_i$ and $\hat{u}_i$ denote the residuals from OLS regression. Consider the OLS estimators (of the slope parameters $\beta_2$, $\alpha_2$) $\hat{\beta}_2$ for (1) and $\hat{\alpha}_2$ for (2). (a) Compare $\hat{\beta}_2$ and $\hat{\alpha}_2$. Are they identical? 3 (b) Calculate the bias of $\hat{\alpha}_2$ and variance of $\hat{\alpha}_2$. (c) We already know that $\sum_{i=1}^{n} X_i \hat{e}_i = 0$ from the first order condition of OLS in the simple linear regression (1). Is $\sum_{i=1}^{n} X_i \hat{u}_i = 0$ true? (d) We already know that $\sum_{i=1}^{n} \hat{e}_i = 0$ from the first order condition of OLS in the simple linear regression (1). Is $\sum_{i=1}^{n} \hat{u}_i = 0$ true?

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1. Provide the Name for the Following (6 points) H OH 2. Rank the following, with 1 being highest, or most. (2 points each) Electrophilic Reactivity When Attacked by a Nucleophile (for example, PhMgBr or NaBH4) a. Acidity b. c. d. e. Boiling Point Relative amount in the "enol" form at equilibrium Ability to decarboxylate (lose CO?) upon heating

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2. Prove by induction that for even positive integer $n$, there exists two odd positive integers such that they sum to $n$. 3. Set $b_n = \left(\sum_{k=1}^n k\right) - n$. Prove by induction: $\sum_{i=1}^n b_i = \frac{(n-1)(n+1)n}{6}$. For this assignment, you may use a result proved in class.

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