Linear Algebra With Applications (classic Version)
5th Edition
ISBN: 9780135162972
Author: BRETSCHER, OTTO
Publisher: Pearson Education, Inc.,
expand_more
expand_more
format_list_bulleted
Question
Chapter 5.1, Problem 8E
To determine
Tofind : the angle
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
CCSS REASONING The number of subscribers
using pagers in the United States can be modeled by
f(x) = 0.015x4 -0.44x³ +3.46x² - 2.7x+9.68
where x is the number of years after 1990 and f(x) is
the number of subscribers in millions.
a. Graph the function.
b. Describe the end behavior of the graph.
c. What does the end behavior suggest about the
number of pager subscribers?
d. Will this trend continue indefinitely? Explain your
reasoning.
Can you help me solve this?
Name
Assume there is the following simplified grade book:
Homework Labs | Final Exam | Project
Avery
95
98
90
100
Blake
90
96
Carlos
83
79
Dax
55
30
228
92
95
79
90
65
60
Assume that the weights used to compute the final grades are homework 0.3, labs 0.2,
the final 0.35, and the project 0.15.
| Write an explicit formula to compute Avery's final grade using a single
inner product.
Write an explicit formula to compute everyone's final grade simultane-
ously using a single matrix-vector product.
Chapter 5 Solutions
Linear Algebra With Applications (classic Version)
Ch. 5.1 - Find the length of each of the vector vin...Ch. 5.1 - Find the length of each of the vector vin...Ch. 5.1 - Find the length of each of the vector vin...Ch. 5.1 - Find the angle between each of the pairs of...Ch. 5.1 - Find the angle between each of the pairs of...Ch. 5.1 - Find the angle between each of the pairs of...Ch. 5.1 - Prob. 7ECh. 5.1 - Prob. 8ECh. 5.1 - For each pair of vectors u,vlisted in Exercises 7...Ch. 5.1 - For which value(s) the constant k are the vectors...
Ch. 5.1 - Considerthevector u=[131] and v=[100] in n . a....Ch. 5.1 - Give an algebraic proof for thetriangleinequality...Ch. 5.1 - Leg traction. The accompanying figure shows how a...Ch. 5.1 - Leonardo da Vinci and the resolution of forces....Ch. 5.1 - Consider thevector v=[1234] in 4 . Find a basis of...Ch. 5.1 - Consider the vectors...Ch. 5.1 - Find a basis for W , where W=span([1234],[5678]).Ch. 5.1 - Here is an infinite-dimensional version of...Ch. 5.1 - For a line L in 2 , draw a sketch to interpret the...Ch. 5.1 - Refer to Figure 13 of this section. The least-s...Ch. 5.1 - Find scalara, b, c, d, e, f,g such that the...Ch. 5.1 - Consider a basis v1,v2,...,vm of a subspace V of n...Ch. 5.1 - Prove Theorem 5.1 .8d. (V)=V for any subspace V of...Ch. 5.1 - Prob. 24ECh. 5.1 - a. Consider a vector v in n , and a scalar k. Show...Ch. 5.1 - Find the orthogonal projection of [494949] onto...Ch. 5.1 - Find the orthogonal projection of 9e1 onto the...Ch. 5.1 - Find the orthogonal projection of [1000] onto the...Ch. 5.1 - Prob. 29ECh. 5.1 - Consider a subspace V of n and a vector x in n...Ch. 5.1 - Considerthe orthonormal vectors u1,u2,...um , in n...Ch. 5.1 - Consider two vectors v1 and v2 in n . Form the...Ch. 5.1 - Among all the vector in n whose components add up...Ch. 5.1 - Among all the unit vectors in n , find the one for...Ch. 5.1 - Among all the unit vectors u=[xyz] in 3 , find...Ch. 5.1 - There are threeexams in your linear algebra class,...Ch. 5.1 - Consider a plane V in 3 with orthonormal basis...Ch. 5.1 - Consider three unit vectors v1,v2 , and v3 in n ....Ch. 5.1 - Can you find a line L in n and a vector x in n...Ch. 5.1 - In Exercises 40 through 46, consider vectors...Ch. 5.1 - In Exercises 40 through 46, consider vectors...Ch. 5.1 - In Exercises 40 through 46, consider vectors...Ch. 5.1 - In Exercises 40 through 46, consider vectors...Ch. 5.1 - In Exercises 40 through 46, consider vectors...Ch. 5.1 - In Exercises 40 through 46, consider vectors...Ch. 5.1 - In Exercises 40 through 46, consider vectors...Ch. 5.2 - Using paper and pencil, perform the Gram-Schmidt...Ch. 5.2 - Prob. 2ECh. 5.2 - Prob. 3ECh. 5.2 - Using paper and pencil, perform the Gram-Schmidt...Ch. 5.2 - Using paper and pencil, perform the Gram-Schmidt...Ch. 5.2 - Using paper and pencil, perform the Gram-Schmidt...Ch. 5.2 - Prob. 7ECh. 5.2 - Using paper and pencil, perform the Gram-Schmidt...Ch. 5.2 - Prob. 9ECh. 5.2 - Using paper and pencil, perform the Gram-Schmidt...Ch. 5.2 - Using paper and pencil, perform the Gram-Schmidt...Ch. 5.2 - Using paper and pencil, perform the Gram-Schmidt...Ch. 5.2 - Using paper and pencil, perform the Gram-Schmidt...Ch. 5.2 - Using paper and pencil, perform the Gram-Schmidt...Ch. 5.2 - Using paper and pencil, find the QR factorization...Ch. 5.2 - Using paper and pencil, find the QR factorization...Ch. 5.2 - Using paper and pencil, find the QR factorization...Ch. 5.2 - Using paper and pencil, find the QR factorization...Ch. 5.2 - Using paper and pencil, find the QR factorization...Ch. 5.2 - Using paper and pencil, find the QR factorization...Ch. 5.2 - Using paper and pencil, find the QR factorization...Ch. 5.2 - Using paper and pencil, find the QR factorization...Ch. 5.2 - Using paper and pencil, find the QR factorization...Ch. 5.2 - Using paper and pencil, find the QR factorization...Ch. 5.2 - Using paper and pencil, find the QR factorization...Ch. 5.2 - Using paper and pencil, find the QR factorization...Ch. 5.2 - Using paper and pencil, find the QR factorization...Ch. 5.2 - Using paper and pencil, find the QR factorization...Ch. 5.2 - Perform the Gram—Schmidt process on the...Ch. 5.2 - Consider two linearly independent vector v1=[ab]...Ch. 5.2 - Perform the Gram-Schmidt process on the...Ch. 5.2 - Find an orthonormal basis of the plane x1+x2+x3=0Ch. 5.2 - Find an orthonormal basis of the kernel of the...Ch. 5.2 - Find an orthonormal basis of the kernel of the...Ch. 5.2 - Find an orthonormal basis of the kernel of the...Ch. 5.2 - Consider the matrix M=12[111111111111][235046007]...Ch. 5.2 - Consider the matrix...Ch. 5.2 - Find the QR factorization of A=[030000200004] .Ch. 5.2 - Find an orthonormal basis u1,u2,u3 of 3 such that...Ch. 5.2 - Consider an invertible nn matrix A whose...Ch. 5.2 - Consider an invertible upper triangular nn matrix...Ch. 5.2 - The two column vectors v1 and v2 of a 22 matrix...Ch. 5.2 - Consider a block matrix A=[A1A2] with linearly...Ch. 5.2 - Consider an nm matrix A with rank(A)m . Is it...Ch. 5.2 - Consider an nm matrix A with rank(A)=m . Is...Ch. 5.3 - Which of the matrices in Exercises 1 through 4 are...Ch. 5.3 - Which of the matrices in Exercises 1 through 4 are...Ch. 5.3 - Which of the matrices in Exercises 1 through 4 are...Ch. 5.3 - Which of the matrices in Exercises 1 through 4 are...Ch. 5.3 - If the nnmatrices A and B are orthogonal, which of...Ch. 5.3 - If the nnmatrices A and B are orthogonal, which of...Ch. 5.3 - If the nnmatrices A and B are orthogonal, which of...Ch. 5.3 - If the nnmatrices A and B are orthogonal, which of...Ch. 5.3 - If the nnmatrices A and B are orthogonal, which of...Ch. 5.3 - If the nnmatrices A and B are orthogonal, which of...Ch. 5.3 - If the nnmatrices A and B are orthogonal, which of...Ch. 5.3 - If the nnmatrices A and B are symmetric and B is...Ch. 5.3 - If the nnmatrices A and B are symmetric and B is...Ch. 5.3 - If the nnmatrices A and B are symmetric and B is...Ch. 5.3 - If the nnmatrices A and B are symmetric and B is...Ch. 5.3 - If the nnmatrices A and B are symmetric and B is...Ch. 5.3 - If the nnmatrices A and B are symmetric and B is...Ch. 5.3 - If the nnmatrices A and B are symmetric and B is...Ch. 5.3 - If the nnmatrices A and B are symmetric and B is...Ch. 5.3 - IfA andB are arbitrary nnmatrices, which of the...Ch. 5.3 - If A and B are arbitrary nnmatrices, which of the...Ch. 5.3 - If A and B are arbitrary nnmatrices, which of the...Ch. 5.3 - If A and B are arbitrary nnmatrices, which of the...Ch. 5.3 - If A and B are arbitrary nnmatrices, which of the...Ch. 5.3 - If A and B are arbitrary nnmatrices, which of the...Ch. 5.3 - Consider an nn matrix A, a vector v in m , and...Ch. 5.3 - Consider an nn matrix A. Show that A is an...Ch. 5.3 - Show that an orthogonal transformation L from n to...Ch. 5.3 - Consider a linear transformation L from m to n...Ch. 5.3 - Are the rows of an orthogonal matrix A...Ch. 5.3 - a. Consider an nm matrix A such that ATA=Im . Is...Ch. 5.3 - Find all orthogonal 22 matrices.Ch. 5.3 - Find all orthogonal 33 matrices of theform...Ch. 5.3 - Find an orthogonal transformation T form 3 to 3...Ch. 5.3 - Find an orthogonal matrix of the form [2/31/...Ch. 5.3 - Is there an orthogonal transformation T from 3 to...Ch. 5.3 - a. Give an example of a (nonzero) skew-symmetric...Ch. 5.3 - Consider a line L in n , spanned by a unit vector...Ch. 5.3 - Consider the subspace W of 4 spanned by the vector...Ch. 5.3 - Find the matrix A of the orthogonal projection...Ch. 5.3 - Let A be the matrix of an orthogonal projection....Ch. 5.3 - Consider a unit vector u in 3 . We define the...Ch. 5.3 - Consider an nm matrix A. Find...Ch. 5.3 - For which nm matrices A docs theequation...Ch. 5.3 - Consider a QRfactorizationM=QR . Show that R=QTM .Ch. 5.3 - If A=QR is a QR factorization, what is the...Ch. 5.3 - Consider an invertible nn matrix A. Can you write...Ch. 5.3 - Consider an invertible nn matrix A. Can you write...Ch. 5.3 - a. Find all nn matrices that are both orthogonal...Ch. 5.3 - a. Consider the matrix product Q1=Q2S , where both...Ch. 5.3 - Find a basis of the space V of all symmetric 33...Ch. 5.3 - Find a basis of the space V of all skew-symmetric...Ch. 5.3 - Find the dimension of the space of alt...Ch. 5.3 - Find the dimension of the space of all symmetric...Ch. 5.3 - Is the transformation L(A)=AT from 23 to 32...Ch. 5.3 - Is the transformation L(A)=AT from mn to nm...Ch. 5.3 - Find image and kernel of the linear transformation...Ch. 5.3 - Find theimage and kernel of the linear...Ch. 5.3 - Find the matrix of the linear transformation...Ch. 5.3 - Find the matrix of the lineartransformation...Ch. 5.3 - Consider the matrix A=[111325220] with...Ch. 5.3 - Consider a symmetric invertible nn matrix A...Ch. 5.3 - This exercise shows one way to define the...Ch. 5.3 - Find all orthogonal 22 matrices A such that all...Ch. 5.3 - Find an orthogonal 22 matrix A such that all the...Ch. 5.3 - Consider a subspace V of n with a basis v1,...,vm...Ch. 5.3 - The formula A(ATA)1AT for 11w matrix of an...Ch. 5.3 - In 4 , consider the subspace W spanned by the...Ch. 5.3 - In all parts of this problem, let V be the...Ch. 5.3 - An nn matrix A is said to be a Hankel, matrix...Ch. 5.3 - Consider a vector v in n of theform v=[11a2an1]...Ch. 5.3 - Let n be an even positive integer. In both parts...Ch. 5.3 - For any integer m, we define the Fibonacci number...Ch. 5.4 - Consider the subspaceim(A) of 2 , where A=[2436] ....Ch. 5.4 - Consider the subspace im(A) of 3 , where...Ch. 5.4 - Considerasubspace V of n . Let v1,...,vp be a...Ch. 5.4 - Let A bean nm matrix. Is the formula ker(A)=im(AT)...Ch. 5.4 - Let V be the solution space of the linear system...Ch. 5.4 - If A is an nm matrix, is the formula im(A)=im(AAT)...Ch. 5.4 - Consider a symmetric nn matrix A. What is the...Ch. 5.4 - Consider a linear transformation L(x)=Ax from n to...Ch. 5.4 - Consider the linear system Ax=b , where A=[1326]...Ch. 5.4 - Consider a consistent system Ax=b . a. Show that...Ch. 5.4 - Consider a linear transformation L(x)=Ax from n to...Ch. 5.4 - Using Exercise 10 as a guide, define theterm...Ch. 5.4 - Consider a linear transformation L(x)=Ax from n to...Ch. 5.4 - In the accompanying figure, we show the kernel and...Ch. 5.4 - Consider an mn matrix A with ker(A)={0} . Showthat...Ch. 5.4 - Use the formula (imA)=ker(AT) to prove theequation...Ch. 5.4 - Does the equation rank(A)=rank(ATA) hold for all...Ch. 5.4 - Does the equation rank(ATA)=rank(AAT) hold for all...Ch. 5.4 - Find the least-squares solution x* of the system...Ch. 5.4 - By using paper and pencil, find the least-squares...Ch. 5.4 - Find the least-squares solution x* of the system...Ch. 5.4 - Find the least-squares solution x* of the system...Ch. 5.4 - Find the least-squares solution x* of the system...Ch. 5.4 - Find the least-squares solution x* of the system...Ch. 5.4 - Find the least-squares solution x* of the system...Ch. 5.4 - Find the least-squares solution x* of the system...Ch. 5.4 - Consider an inconsistent linear system Ax=b ,...Ch. 5.4 - Consider an orthonormal basis u1,u2,...,un , in n...Ch. 5.4 - Find theleast-squares solution of the system Ax=b...Ch. 5.4 - Fit a linear function of the form f(t)=c0+c1t...Ch. 5.4 - Fit a linear function of the form f(t)=c0+c1t to...Ch. 5.4 - Fit a quadratic polynomial to the data points...Ch. 5.4 - Find the trigonometric function of the form...Ch. 5.4 - Find the function of the form...Ch. 5.4 - Suppose you wish to fit a function of the form...Ch. 5.4 - Let S (t) be the number of daylight hours on the t...Ch. 5.4 - Prob. 37ECh. 5.4 - In the accompanying table, we list the height h,...Ch. 5.4 - In the accompanying table, we list the estimated...Ch. 5.4 - Prob. 40ECh. 5.4 - Prob. 41ECh. 5.4 - Prob. 42ECh. 5.5 - In C[a,b] , define the product f,g=abf(t)g(t)dt ....Ch. 5.5 - Does the equation f,g+h=f,g+f,h hold for all...Ch. 5.5 - Consider a matrix S in nn . In n , define the...Ch. 5.5 - In nm , consider the inner product A,B=trace(ATB)...Ch. 5.5 - Is A,B=trace(ABT) an inner product in nm ?(The...Ch. 5.5 - a. Consider an nm matrix P and an mn matrixQ. Show...Ch. 5.5 - Prob. 7ECh. 5.5 - Prob. 8ECh. 5.5 - Prob. 9ECh. 5.5 - Consider the space P2 with inner product...Ch. 5.5 - Prob. 11ECh. 5.5 - Prob. 12ECh. 5.5 - For a function f in C[,] (with the inner...Ch. 5.5 - Which of the following is an inner product in P2...Ch. 5.5 - Prob. 15ECh. 5.5 - Prob. 16ECh. 5.5 - Prob. 17ECh. 5.5 - Prob. 18ECh. 5.5 - Prob. 19ECh. 5.5 - Prob. 20ECh. 5.5 - Prob. 21ECh. 5.5 - Prob. 22ECh. 5.5 - Prob. 23ECh. 5.5 - Consider the linear space P of all polynomials,...Ch. 5.5 - Prob. 25ECh. 5.5 - Prob. 26ECh. 5.5 - Find the Fourier coefficients of the piecewise...Ch. 5.5 - Prob. 28ECh. 5.5 - Prob. 29ECh. 5.5 - Prob. 30ECh. 5.5 - Gaussian integration,In an introductory...Ch. 5.5 - In the space C[1,1] , we introduce the inner...Ch. 5.5 - a. Let w(t) be a positive-valued function in...Ch. 5.5 - In the space C[1,1] , we define the inner product...Ch. 5.5 - In this exercise, we compare the inner products...Ch. 5 - If T is a linear transformation from n to n...Ch. 5 - If A is an invertible matrix, then the equation...Ch. 5 - Prob. 3ECh. 5 - Prob. 4ECh. 5 - Prob. 5ECh. 5 - Prob. 6ECh. 5 - All nonzero symmetric matrices are invertible.Ch. 5 - Prob. 8ECh. 5 - If u is a unit vector in n , and L=span(u) , then...Ch. 5 - Prob. 10ECh. 5 - Prob. 11ECh. 5 - Prob. 12ECh. 5 - If matrix A is orthogonal, then AT must be...Ch. 5 - If A and B are symmetric nn matrices, then AB...Ch. 5 - Prob. 15ECh. 5 - If A is any matrix with ker(A)={0} , then the...Ch. 5 - If A and B are symmetric nn matrices, then...Ch. 5 - Prob. 18ECh. 5 - Prob. 19ECh. 5 - Prob. 20ECh. 5 - Prob. 21ECh. 5 - Prob. 22ECh. 5 - Prob. 23ECh. 5 - Prob. 24ECh. 5 - Prob. 25ECh. 5 - Prob. 26ECh. 5 - Prob. 27ECh. 5 - If A is a symmetric matrix, vector v is in the...Ch. 5 - The formula ker(A)=ker(ATA) holds for all matrices...Ch. 5 - Prob. 30ECh. 5 - Prob. 31ECh. 5 - Prob. 32ECh. 5 - If A is an invertible matrix such that A1=A , then...Ch. 5 - Prob. 34ECh. 5 - The formula (kerB)=im(BT) holds for all matrices...Ch. 5 - The matrix ATA is symmetric for all matrices A.Ch. 5 - If matrix A is similar to B and A is orthogonal,...Ch. 5 - Prob. 38ECh. 5 - If matrix A is symmetric and matrix S is...Ch. 5 - If A is a square matrix such that ATA=AAT , then...Ch. 5 - Any square matrix can be written as the sum of a...Ch. 5 - If x1,x2,...,xn are any real numbers, then...Ch. 5 - If AAT=A2 for a 22 matrix A, then A must...Ch. 5 - If V is a subspace of n and x is a vector in n ,...Ch. 5 - If A is an nn matrix such that Au=1 for all...Ch. 5 - If A is any symmetric 22 matrix, then there must...Ch. 5 - There exists a basis of 22 that consists of...Ch. 5 - If A=[1221] , then the matrix Q in the QR...Ch. 5 - There exists a linear transformation L from 33 to...Ch. 5 - If a 33 matrix A represents the orthogonal...
Knowledge Booster
Similar questions
- 1. Explicitly compute by hand (with work shown) the following Frobenius inner products 00 4.56 3.12 (a) ((º º º). (156 (b) 10.9 -1 0 2)), Fro 5')) Froarrow_forward3. Let 4 0 0 00 0 0 1.2 0 00 0 0 0 -10.1 0 0 0 D = 0 0 0 00 0 0 0 0 05 0 0 0 0 0 0 2.8 Either explicitly compute D-¹ or explain why it doesn't exist.arrow_forward4. [9 points] Assume that B, C, E are all 3 x 3 matrices such that BC == -64 -1 0 3 4 4 4 -2 2 CB=-1-2 4 BE -2 1 3 EC = 1 3 2 -7, 1 6 -6 2-5 -7 -2 Explicitly compute the following by hand. (I.e., write out the entries of the 3 × 3 matrix.) (a) [3 points] B(E+C) (b) [3 points] (E+B)C (c) [3 points] ETBTarrow_forward
- 6. Consider the matrices G = 0 (3) -3\ -3 2 and H = -1 2 0 5 0 5 5 noting that H(:, 3) = 2H(:,1) + H(:, 2). Is G invertible? Explain your answer. Is H invertible? Explain your answer. Use co-factor expansion to find the determinant of H. (Hint: expand the 2nd or 3rd row)arrow_forwardFor the matrix A = = ( 6 }) . explicitly compute by hand (with work shown) the following. I2A, where I2 is the 2 × 2 identity matrix. A-1 solving the following linear systems by using A-¹: c+y= 1 y = 1 (d) (e) (f) A² find the diagonal entries of Aarrow_forwardIf 3x−y=12, what is the value of 8x / 2y A) 212B) 44C) 82D) The value cannot be determined from the information given.arrow_forward
- C=59(F−32) The equation above shows how temperature F, measured in degrees Fahrenheit, relates to a temperature C, measured in degrees Celsius. Based on the equation, which of the following must be true? A temperature increase of 1 degree Fahrenheit is equivalent to a temperature increase of 59 degree Celsius. A temperature increase of 1 degree Celsius is equivalent to a temperature increase of 1.8 degrees Fahrenheit. A temperature increase of 59 degree Fahrenheit is equivalent to a temperature increase of 1 degree Celsius. A) I onlyB) II onlyC) III onlyD) I and II onlyarrow_forward(1) Let F be a field, show that the vector space F,NEZ* be a finite dimension. (2) Let P2(x) be the vector space of polynomial of degree equal or less than two and M={a+bx+cx²/a,b,cЄ R,a+b=c),show that whether Mis hyperspace or not. (3) Let A and B be a subset of a vector space such that ACB, show that whether: (a) if A is convex then B is convex or not. (b) if B is convex then A is convex or not. (4) Let R be a field of real numbers and X=R, X is a vector space over R show that by definition the norms/II.II, and II.112 on X are equivalent where Ilxll₁ = max(lx,l, i=1,2,...,n) and llxll₂=(x²). oper (5) Let Ⓡ be a field of real numbers, Ⓡis a normed space under usual operations and norm, let E=(2,5,8), find int(E), b(E) and D(E). (6) Write the definition of bounded linear function between two normed spaces and write with prove the relation between continuous and bounded linear function between two normed spaces.arrow_forwardind → 6 Q₁/(a) Let R be a field of real numbers and X-P(x)=(a+bx+cx²+dx/ a,b,c,dER},X is a vector space over R, show that is finite dimension. (b) Let be a bijective linear function from a finite dimension vector ✓ into a space Yand Sbe a basis for X, show that whether f(S) basis for or not. (c) Let be a vector space over a field F and A,B)affine subsets of X,show that whether aAn BB, aAU BB be affine subsets of X or not, a,ẞ EF. (12 Jal (answer only two) (6) Let M be a non-empty subset of a vector space X and tEX, show that M is a hyperspace of X iff t+M is a hyperplane of X and tЄt+M. (b) State Jahn-Banach theorem and write with prove an application of Hahn-arrow_forward
- (b) Let A and B be two subset of a linear space X such that ACB, show that whether if A is affine set then B affine or need not and if B affine set then A affine set or need not. Qz/antonly be a-Show that every hyperspace of a vecor space X is hyperplane but the convers need not to be true. b- Let M be a finite dimension subspace of a Banach space X show that M is closed set. c-Show that every two norms on finite dimension vector space are equivant (1) Q/answer only two a-Write the definition of bounded set in: a normed space and write with prove an equivalent statement to a definition. b- Let f be a function from a normed space X into a normed space Y, show that f continuous iff f is bounded. c-Show that every finite dimension normed space is a Banach. Q/a- Let A and B two open sets in a normed space X, show that by definition AnB and AUB are open sets. (1 nood truearrow_forwardlog (6x+5)-log 3 = log 2 - log xarrow_forward1 The ratio of Argan to Potassium from a sample found sample found in Canada is .195 Find The estimated age of the sample A In (1+8.33 (+)) t = (1-26 × 109) en (1 In aarrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Algebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:Cengage
Elementary Linear Algebra (MindTap Course List)AlgebraISBN:9781305658004Author:Ron LarsonPublisher:Cengage Learning
Trigonometry (MindTap Course List)TrigonometryISBN:9781337278461Author:Ron LarsonPublisher:Cengage Learning
Trigonometry (MindTap Course List)TrigonometryISBN:9781305652224Author:Charles P. McKeague, Mark D. TurnerPublisher:Cengage Learning
Algebra and Trigonometry (MindTap Course List)AlgebraISBN:9781305071742Author:James Stewart, Lothar Redlin, Saleem WatsonPublisher:Cengage Learning
Elementary Geometry For College Students, 7eGeometryISBN:9781337614085Author:Alexander, Daniel C.; Koeberlein, Geralyn M.Publisher:Cengage,
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:9781133382119
Author:Swokowski
Publisher:Cengage
Elementary Linear Algebra (MindTap Course List)
Algebra
ISBN:9781305658004
Author:Ron Larson
Publisher:Cengage Learning
Trigonometry (MindTap Course List)
Trigonometry
ISBN:9781337278461
Author:Ron Larson
Publisher:Cengage Learning
Trigonometry (MindTap Course List)
Trigonometry
ISBN:9781305652224
Author:Charles P. McKeague, Mark D. Turner
Publisher:Cengage Learning
Algebra and Trigonometry (MindTap Course List)
Algebra
ISBN:9781305071742
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:Cengage Learning
Elementary Geometry For College Students, 7e
Geometry
ISBN:9781337614085
Author:Alexander, Daniel C.; Koeberlein, Geralyn M.
Publisher:Cengage,