Find the gradient of the output f(x) with respect to W(2) for the neural network defined as f(x)=σ(σ(x⋅W(1))⋅W(2)). Optional: Calculate the gradient with respect to W(1).
3. Two triangles have two pairs of corresponding sides that are congruent. What else must be true for the triangles to be congruent by the HL Theorem?
(A) The included angles must be right angles.
B. They have one pair of congruent angles. C Both riangles must be isosceles. 78. There are right angles adjacent to just one pair of congruen
Д13.1. Докажите, что можно так занумеровать вершины связного неориентированного графа на n вершинах числами от 1 до n, что для каждого 1⩽k⩽n связен подграф, индуцированный множеством вершин с номерами от 1 до k.
Множество S вершин графа G=(V,E) индуцирует подграф с множеством вершин S, рёбрами которого являются все рёбра из E с обоими концами в S.
Д13.4. Пусть K - множество конечных подмножеств натуральных чисел, упорядоченных по включению (если a,b∈K, то a⩽b⇔a⊆b ); M - множество положительных натуральных чисел, свободных от квадратов (которые не делятся на p2 ни для какого простого p ), упорядоченных по отношению делимости (если a,b∈M, то a⩽b⇔b делится без остатка на a ). Докажите, что эти два порядка изоморфны.
fonksiyon için δ, sadece ϵ sayısına bağlıdır yani x=t den bağımsız olmaktadır.
3.11 Örnek f:(0,1]⟶R,f(x)=x1 fonksiyonunun sürekli ancak düzgün sürekli olmadığım gösteriniz.
MATh140 Second Firstsem-2024-2025, (161745)(-4)
mentie Question 8 of 18
A matrix that is both sympetric and upper triangular must be a diagonal matrix.
True
Falle
b) sin2x=2sinxcosx
c) tanx=cosxsinx
d) all of these
- The height of the tip of one blade of a wind turbine above the ground, h(t), can be modelled by h(t)=18cos(πt+4π)+2 where t is the time passed in seconds. Whic, time interval describes a period when the bl tip is at least 30 m above the ground?
a) 5.24≤t≤7.33
(c) 1.37≤t≤2.
) 0.42≤t≤1.08
d) 0.08≤t≤1. Iify cos5πcos6π−sin5πsin6π
Question: Convergence in Probability
Let X1,X2,… be a sequence of independent and identically distributed (i.i.d.) random variables, where each Xi has the following probability distribution:
P(Xi=0)=21,P(Xi=1)=21.
1 Define the sample mean Xˉn as:
Xˉn=n1i=1∑nXi. We want to analyze the behavior of Xˉn as n→∞.
(a) Show that E[Xi]=21 and Var(Xi)=41.
(b) Using the weak law of large numbers (WLLN), show that XˉnP21 as n→∞. That is, prove that Xˉn converges to 21 in probability.
(c) For a sequence Y1,Y2,… of independent random variables where P(Yi= 1) =1−i1 and P(Yi=0)=i1, determine whether Yn converges in probability to 1 as n→∞. Justify your answer using the definition of convergence in probability.
CCA2 > Chapter 2 > Lesson 2.1.2 > Problem 2-24 Consider the equations y=3(x−1)2−5 and y=3x2−6x−2.
a. Verify that they are equivalent by creating a table or graph for each equation.
□✓ Hint (a):
Here are a couple of points on the table. Make sure you get these points and continue both of your tables for at leas
\begin{tabular}{c|c|}
\hlinex & y \\
\hline-2 & 22 \\
\hline-1 & \\
\hline 0 & \\
\hline 1 & -5 \\
\hline 2 & \\
\hline
\end{tabular}
Determine if triangle BCD and triangle EFG are or are not similar, and, if they are, state how you know. (Note that figures are NOT necessarily drawn to scale.) Answer The triangles □ similar.
Given: ABCD is a parallelogram.
Diagonals AC,BD intersect at E .
Prove: AE≅CE and BE≅DE
Statements 1. ABCD is a parallelogram 2. AB∥CD 3. ∠BAE and ∠DCE
are alt. interior angles Reasons 1. given 2. def. of parallelogram 3. def. of alt. interior angles CorrectIAssemble the next statement.
Intro
se the given information to prove that △PQR≅△TSR. Given: QR≅SR
Send To Proof
∠PQR≅∠TSR
Send To Proof Prove: △PQR≅△TSR
Send To Proof
Statement
Reason 1 □ Reason? Validate
Name:
Section 2 - B. 2
4) [IC] (/2) Zhen claims that in exponential functions, they act like a parabola, so a vertical stretch by a factor of a will result in the same graph as a horizontal compression by a. Use the functions f(x)=3(2)x and g(x)=(2)3x to either back up Zhen's claim or reject his claim. Use of the grid provided is optional.
III. Given: BE⊥ED and EB⊥BA, and C is the midpoint of BE Prove: △ABC≅△DEC
\begin{tabular}{|l|l|l|}
\hline & & \\
\hline Corresponding, Congruent Parts: & Corresponding, Congruent Parts: & Corresponding, Congruent Parts: \\
\hline Explanation: & & \\
\hline
\end{tabular}
false:
(5 points)
form of yp for y′′′−3y′+2y=xex is (Ax3+Bx2)ex
the roots of the indicial equation are −0.3,1.7 then the D.E. has two nearly independent solutions
W(f,g,h)=sint then the functions f,g,h are linearly dependent
er bound for the radius of convergence for the series 1 of (1−x3)y′′+4xy′+y=0,x0=3 is 2
=1 is a R.S.P for (x−1)2y′′+3y′+(x−1)y=0
ue or false:
(5 points)
- The form of yp for y′′′−3y′+2y=xex is (Ax3+Bx2)ex
- If the roots of the indicial equation are −0.3,1.7 then the D.E. has two linearly independent solutions
- If W(f,g,h)=sint then the functions f,g,h are linearly dependent
lower bound for the radius of convergence for the series lution of (1−x3)y′′+4xy′+y=0,x0=3 is 2
- x=1 is a R.S.P for (x−1)2y′′+3y′+(x−1)y=0
Q1) True or false:
(5 points) 1- The form of yp for y′′′−3y′+2y=xex is (Ax3+Bx2)ex
2- If the roots of the indicial equation are −0.3,1.7 then the D.E. has two linearly independent solutions 3- If W(f,g,h)=sint then the functions f,g,h are linearly dependent
4- The lower bound for the radius of convergence for the series solution of (1−x3)y′′+4xy′+y=0,x0=3 is 2 5- x=1 is a R.S.P for (x−1)2y′′+3y′+(x−1)y=0
Which of the following explains how △AEB could be proven similar to △DEC using the AA similarity postulate?
∠AEB≅∠CED because vertical angles are congruent; reflect △CED across segment FG, then translate point D to point A to confirm ∠EAB≅∠EDC.
∠AEB≈∠CED because vertical angles are congruent; rotate △CED180∘ around point E, then dilate △CED to confirm EB≈EC.
∠AEB≅∠DEC because vertical angles are congruent; rotate △CED180∘ around point E, then translate point D to point A to confirm ∠EAB=∠EDC.
∠AEB≅∠DEC because vertical angles are congruent; reflect △CED across segment FG, then dilate △CED to confirm EB≈ED
Let (Y1,Y2) have joint density fY1,Y2(y1,y2). Define U1=Y1+Y2, U2=Y2. a) Show fU1,U2(u1,u2)=fY1,Y2(u1−u2,u2). b) Find fU1(u1)=∫−∞∞fY1,Y2(u1−u2,u2)du2. c) If Y1 and Y2 are independent, show fU1(u1)=∫−∞∞fY1(u1−u2)fY2(u2)du2.
Verify that the equation is an identity.
cotαcscα=secα To verify the identity, start with the more complicated side and transform it to look like the other side. Choose the correct transformations and transform the expression at each step.
cotαcscα=□□ What transforniation is made in the numerator? □
What transformation is made in the denominator? □
Détermine if the two functions are inverses of each othe
f(x)=33−xg(x)=x3−3
No because f(g(x))=3−x3+6 and g(f(x))=−x
No because f(g(x))=−x and g(f(x))=−x
Yes because f(g(x))=−x and g(f(x))=−x
Yes because f(g(x))=3−x3+6 and g(f(x))=−x
Question: Sufficient Estimator for Poisson Distribution Let X1,X2,…,Xn be a random sample from a ∗∗ Poisson distribution** with an unknown parameter λ, where λ>0. The probability mass function (PMF) of each Xi is given by:
f(x;λ)=x!λxe−λ,x=0,1,2,…
(a) Write the likelihood function L(λ) based on the random sample X1,X2,…,Xn.
(b) Use the ∗∗ Factorization Theorem** to show that the statistic T=∑i=1nXi is a ∗∗ sufficient statistic ∗∗ for λ.
(c) Find the ∗∗ maximum likelihood estimator (MLE) ∗∗ of λ.
(d) Show that the statistic T=∑i=1nXi is a ∗∗ complete and sufficient** statistic for λ. Justify your answer.
Дана пирамида EABCD. Её основание - параллелограмм, диагонали которого пересекаются в точке O.
Определи, справедливо ли равенство:
1.2OD−AD+AC=BE□ 2. OD+OE−CE+0,5CA=OB. □ 3. AE−OE+0,5BD=DA. □
Soit {Un} et (Vn) deux suites définies par: Un=22n+4n+3 et Vn=22n−4n+3
On pose T1=Un+Vn et T2=Un−Vn
1) Montrer que T1 est géométrique et que T2 est arithmétique ?
2) En déduire S1 et S2 en fonction de n tels que: S1=∑K=0nUK et S2=∑K=0nVK