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Newforms
These are notes for Math 252 by William Stein. These are based on lectures given by Ken Ribet at Berkeley in 1996.
First we discuss explicitly how Up , for p | N , acts on old forms, and how Up can fa...
...Math 252: Modular Abelian Varieties, Fall 2003, Prof. William Stein
NERON MODELS AND THE SHAFAREVICH-TATE GROUP Tseno V. Tselkov tselkov@fas.harvard.edu
Abstract. This is a review paper, which establishes the existence of Nron models for elliptic ...
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Modular Forms
Kenneth A. Ribet William A. Stein
November 17, 2003
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Contents
1 Abelian Varieties Attached to Modular Forms 1.1 Decomposition of the Hecke Algebra . . . ....
...A Survey of Results Concerning the Birch and Swinnerton-Dyer Conjecture over Function Fields
Jennifer Balakrishnan February 23, 2004
Abstract Seen by many to be the most important open problem in number theory, the Birch and Swinnerton-Dyer conjectu...
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287A: ECE Convex Optimization and Applications Fall 2006 Homework 1 Lecturer: Gert Lanckriet (please indicate whether you are taking the class for letter grade or S/U grade) Due: Friday 10/13/06 (in class) 1. In this problem we examine the geometrical interpretation of the positive de niteness of a matrix. For each of the following cases, determine the shape of the region generated by the constraint xT Ax 1. (a) (2 points) A = (b) (2 points) A = (c) (2 points) A = 2. Let A = AT Rn n . (a) (2 points) Show that tr(A) = n i=1 21 12 1 1 1 1 1 0 0 1 i with i the eigenvalues of A. n i=1 (b) (2 points) Show that |A| = det(A) = i with i the eigenvalues of A. (c) (optional: 2 bonus points) Do the properties in (a) and (b) still hold for a general A Rn n (not necessarily symmetric)? Prove your answer. 3. Consider a partitioned matrix X = XT = AB BT C where A, C are square and symmetric. When C is invertible, we de ne S = A BC 1 B T and call it the Schur complement of C in X. We will now show that X 0 if and only if C 0 and S 0, in two di erent ways: (a) (3 points) Let P = IF with F the same size as B above. What is the 0I relationship between positive-de niteness of X = P XP T and that of X? Find F 0 such that X is block-diagonal, that is, P XP T = , where represents a 0 matrix. Now, complete the proof. 1-1 ECE 287A Homework 1 October 3 Fall 2006 (b) (3 points) Let z = [uT v T ]T . Consider the quadratic form z T Xz. Minimize it with respect to v (you can nd information about di erentiation with respect to a vector in the course reader or the matrix cookbook, posted on the website). The required result should follow immediately. 4. Show the equivalence between the following statements for A = AT Rn n : (a) A 0. (b) (2 points) The eigenvalues of A are positive. (c) (2 points) If Ai represents the submatrix of A formed by taking the rst i rows and i columns of A, then det(Ai ) > 0 for i = 1, . . . , n. (hint: use induction) 5. In this problem, we will prove a result that will be used later during the course. For any pair symmetric of positive semide nite matrices of the same size A, B, tr(AB) 0. To do this, we will proceed as follows: (a) (2 points) Let B = U T 0 00 U , where U is unitary, Rr r is a diagonal matrix and r is the rank of B. Also, de ne: A = that A negative. A11 A12 = U AU T . Show AT A22 12 0 and that the diagonal elements of A11 (aii , i = 1, . . . , r) are non- (b) (2 points) Show that tr(AB) = tr(A11 ). (c) (2 points) Conclude that tr(AB) 0. (d) (optional: 2 bonus points) What can you say if tr(AB) = 0? 6. (2 points) Assume A is an orthogonal matrix. What do we know about its determinant? 7. Which of the following sets are convex? If they are a ne, cones, balls, ellipsoids or polyhedra, say so. Explain your answer. (a) (1 point) A set of the form {x Rn | aT x }. (b) (1 points) A set of the form {x Rn | i xi i , i = 1, . . . , n}. (c) (1 points) A set of the form {x Rn | aT x b1 , aT x b2 }. 1 2 (d) (2 points) The set of points closer to a given point than a given set, i.e., {x | ||x x0 ||2 ||x y||2 , y S} where S Rn . (e) (2 points) The set of points closer to one set than another, i.e., {x | dist(x, S) dist(x, T )} where S, T Rn and dist(x, S) = inf{||x z|| | z S}. (f ) (2 points) The set {a Rk | p(0) = 1, |p(t)| 1 for t } where p(t) = a1 + a2 t + . . . + ak tk 1 . 1-2 ECE 287A Homework 1 October 3 Fall 2006 (g) (2 points) The set {x Rn | ||x a|| 1}. (h) (2 points) The set of positive semide nite matrices of dimension n n. 8. Which of the following sets S are polyhedra? Why (not)? If possible, express S in the form S = {x | Ax b, F x = g}. (a) (2 points) S = {x Rn |x (b) (2 points) S = {x Rn |x 0, xT y 1 for all y with ||y||2 = 1}. 0, xT y 1 for all y with ||y||1 = 1}. 9. (2 points) Show that a set is convex if and only if its intersection with any line is convex. 10. (3 points) Consider the set of rank-k outer products, de ned as {XX T | X Rn k , rank(X) = k}. Describe its conic hull in simple terms. 1-3
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UCSD >> ECE >> 287a (Fall, 2008)
ECE 287A: Convex Optimization and Applications Fall 2006 Homework 1 Lecturer: Gert Lanckriet (please indicate whether you are taking the class for letter grade or S/U grade) Due: Friday 10/13/06 (in class) 1. In this problem we examine the geometr...
UCSD >> MATH >> 287a (Winter, 2008)
A Tutorial on Convex Optimization Haitham Hindi Palo Alto Research Center (PARC), Palo Alto, California email: hhindi@parc.com Abstract In recent years, convex optimization has become a computational tool of central importance in engineering, thanks ...
UCSD >> ECE >> 287a (Fall, 2008)
A Tutorial on Convex Optimization Haitham Hindi Palo Alto Research Center (PARC), Palo Alto, California email: hhindi@parc.com Abstract In recent years, convex optimization has become a computational tool of central importance in engineering, thanks ...
UCSD >> MATH >> 287a (Winter, 2008)
ECE 287A: Convex Optimization and Applications Fall 2006 Homework 3 Lecturer: Gert Lanckriet Due: Thursday 11/09/06 (in class) 1. Consider the following quadratic programming (QP) problem 1 min xT P x + q T x + r, x2 where 13 12 2 P = 12 17 6 ...
UCSD >> ECE >> 287a (Fall, 2008)
ECE 287A: Convex Optimization and Applications Fall 2006 Homework 3 Lecturer: Gert Lanckriet Due: Thursday 11/09/06 (in class) 1. Consider the following quadratic programming (QP) problem 1 min xT P x + q T x + r, x2 where 13 12 2 P = 12 17 6 ...
UCSD >> MATH >> 287a (Winter, 2008)
A Tutorial on Convex Optimization II: Duality and Interior Point Methods Haitham Hindi Palo Alto Research Center (PARC), Palo Alto, California 94304 email: hhindi@parc.com Abstract In recent years, convex optimization has become a computational tool ...
UCSD >> ECE >> 287a (Fall, 2008)
A Tutorial on Convex Optimization II: Duality and Interior Point Methods Haitham Hindi Palo Alto Research Center (PARC), Palo Alto, California 94304 email: hhindi@parc.com Abstract In recent years, convex optimization has become a computational tool ...
UCSD >> MATH >> 294 (Winter, 2008)
Math 294, Winter 2004 Lvys Theorem e Let (, F, P) be a complete probability space endowed with a right-continuous* ltration (Ft )t0 such that F0 contains all the P-null sets in F and t Ft = F. Let M = (Mt )t0 be a real-valued stochastic process adapt...
UCSD >> MATH >> 3c (Fall, 2008)
Math 3C Practice Midterm 1 No Books, Notes, Calculators, Electronic Devices, or Talking. Show ALL work to receive full credit. Note: this practice midterm has 7 questions, but the actual midterm will have 4-6 questions. 1 1. Assume that the functi...
UCSD >> MATH >> 3c (Fall, 2008)
Math 3C Lecture Notes Fall 2008 Daniel P. McAllaster October 3, 2008 1 Section 2.2 - Domain and Range f (x) = x2 x+5 More examples: 100 80 60 40 20 0 y 20 40 60 80 100 10 8 6 4 2 0 x 2 4 6 8 10 The domain is all real number...
UCSD >> MATH >> 3c (Fall, 2008)
Math 3C Lecture Notes Fall 2008 Daniel P. McAllaster October 20, 2008 1 Last Time At the end of last time, we were going over a problem where we had a function of the form f (t) = 2e0.4621t , and we had gured out that the half-life was 1.5 years, ...
UCSD >> MATH >> 3c (Fall, 2008)
Math 3C Final Exam Review Outline Fall 2008 Daniel P. McAllaster Functional notation You should understand the meaning of f (x) and be able to evaluate a function using tables, graphs, and formulas. What is a function? What is not a function? You...
UCSD >> MATH >> 3c (Fall, 2008)
Math 3C Midterm 2 Review Outline Fall 2008 Daniel P. McAllaster November 17, 2008 The Logarithm Function Be able to recognize and graph logarithmic functions. Be able to identify important features of the graphs. Logarithmic scales Function Trans...
UCSD >> MATH >> 3c (Fall, 2008)
Math 3C Lecture Notes Fall 2008 Daniel P. McAllaster October 15, 2008 (Afternoon) 1 Section 3.4 - Continuous Growth and e Suppose you have $100 in the bank, and you get 10% interest annually. At the end of the year, you will get $10 in interest. W...
UCSD >> MATH >> 3c (Fall, 2008)
Math 3C Lecture Notes Fall 2008 Daniel P. McAllaster October 13, 2008 1 Section 3.3 - Graphs of Exponential Functions Recall that all exponential functions can be written as Q = f (t) = abt . With linear functions, we know that they looked like y ...
UCSD >> MATH >> 3c (Fall, 2008)
Math 3C Lecture Notes Fall 2008 Daniel P. McAllaster October 30, 2008 1 Section 6.3 - Radians We already know what degrees are, but dividing the circle in to 360 parts was quite arbitrary. Another system which many people use is to label angles by...
UCSD >> MATH >> 3c (Fall, 2008)
Math 3C Lecture Notes Fall 2008 Daniel P. McAllaster October 25, 2008 1 2 Section 5.5 - The Family of Quadratic Functions Section 5 Tools - Completing the Square Often, especially in graphing functions, it is advantageous to have a quadratic funct...
UCSD >> MATH >> 3c (Fall, 2008)
Math 3C Lecture Notes Fall 2008 Daniel P. McAllaster October 6, 2008 1 Comments from grader re: group work About half of the groups thought that 44 = 256. If it is not (4)4 then you do the power rst, and then the negative. A LOT of groups thought...
UCSD >> MATH >> 3c (Fall, 2008)
Math 3C Lecture Notes Fall 2008 Daniel P. McAllaster November 5, 2008 (Evening) 1 Section 6.7 - Inverse Trigonometric Functions A couple of lectures ago, we found a function for your height on the ferris wheel to be h(t) = 225 sin 2 (t 7.5) + 225...
UCSD >> MATH >> 3c (Fall, 2008)
Math 3C Lecture Notes Fall 2008 Daniel P. McAllaster October 1, 2008 (Evening) 1 1.1 Section 2.1 - Input and Output Evaluating Functions We had w = f (d) given by w = 3 d + 32. Suppose we want to know how much 2 water we should drink if we bicycle...
UCSD >> MATH >> 3c (Fall, 2008)
Math 3C Lecture Notes Fall 2008 Daniel P. McAllaster November 14, 2008 1 Section 8.3 - Combinations of Functions We have already discussed how we can combine functions using composition, and showed various things which result from that. There is, ...
UCSD >> MATH >> 3c (Fall, 2008)
Math 3C Lecture Notes Fall 2008 Daniel P. McAllaster November 26, 2008 (Evening) 1 1.1 Section 9.5 - The Short-run Behavior of Rational Functions Zeros and Vertical Asymptotes Since a fraction is zero only when the numerator is zero, a rational fu...
UCSD >> MATH >> 3c (Fall, 2008)
Math 3C Lecture Notes Fall 2008 Daniel P. McAllaster November 3, 2008 1 Section 6.5 - Sinusoidal Functions Last time, we talked about how we can change the midline and amplitude of the sine and cosine function, but there are other characteristics ...
UCSD >> MATH >> 4c (Fall, 2008)
Nov 5 Solving Triangles Homework: 6.1 #49 6.2 #29, 61 6.3 #11, 13, 25, 31, 33 6.4 #55 9.1 #5, 7, 13, 15, 21, 27, 39, 43 Trigonometry began 2500 years ago as the study of the measurement of triangles (sides and angles). Trigonometry has grown to inclu...
UCSD >> MATH >> 4c (Fall, 2008)
Nov 26 Limits of Functions (cont.) Homework: Supplement define limit of a function at a point informally. How do the values of f behave when x approaches some (finite) number c. What is the limit of f ( x ) = 2x !1 as x approaches 3? Here the functio...
UCSD >> MATH >> 4c (Fall, 2008)
Oct 6 Roots of Polynomial Equations (cont) (REVISED) Homework: 12.4 #33 12.5 #15, 19, 21, 25 12.6 #9, 13, 15, 19, 39, 43 Review: relationship between roots and coefficients, intermediate value theorem, rational roots theorem, upper and lower bound th...
UCSD >> MATH >> 4c (Fall, 2008)
Math 4C Fall 2008 Final Exam Study Guide Format 12 questions, some multi-part. Questions will be similar to sample problems in this study guide, homework problems, lecture examples or examples from the text. The final exam is comprehensive. Protocol ...
UCSD >> MATH >> 4c (Fall, 2008)
Oct 8 Exponential and Logarithmic Equations (REVISED) Homework: 5.4 #9, 15a, 25b, 49, 63 5.5 #7, 29, 31, 37, 75 5.6 #3, 13, 15 5.7 #1, 13, 23, 27, 57 define logarithm for a given base. The logarithm of a number x is simply the exponent of this number...
UCSD >> MATH >> 4c (Fall, 2008)
Oct 31 Exponential Functions, Quiz 3 Homework: 5.1 #17, 25, 27, 29, 31, 33, 39 5.2 #41, 45, 47, 48, 49 Exponential functions define exponential function. An exponential function is a function of the form f ( x ) = b x , where b > 0 and b ! 1. The num...
UCSD >> MATH >> 4c (Fall, 2008)
Math 4C Fall 2008 Midterm 2 Study Guide Format. 6 questions. Questions will be similar to homework problems, sample problems in this study guide or examples from lectures. Protocol. Wednesday, November 19, 5:00 5:50 pm in YORK 2622. No notes nor cal...
UCSD >> MATH >> 4c (Fall, 2008)
Oct 3 Roots of Polynomial Equations (cont) Homework: 12.4 #33 12.5 #15, 19, 21, 25 12.6 #9, 13, 15, 19, 39, 43 Review: Linear Factor Theorem for Polynomials. If r is a root of f ( x ) = 0 , then x ! r is a factor of f (x) . relationship between roots...
UCSD >> MATH >> 4c (Fall, 2008)
Dec 3 Instantaneous Rate of Change of a Function; Derivative at a Point Homework: Supplement review average and instantaneous velocities. The average velocity of a position s ( t 2 ) ! s ( t1 ) function s ( t ) on [ t1 ,t 2 ] is defined as vavg [ t1 ...
UCSD >> MATH >> 4c (Fall, 2008)
Oct 1 (4th Hour) Homework: Roots of Polynomial Equations 12.2 #25, 37, 45, 49, 55 12.3 #13b, 15, 19, 35, 45, 55, 57 12.4 #2, 19, 25, 28 Review: An equation is a mathematical statement that two expressions are equivalent. A root or solution of an equ...
UCSD >> MATH >> 4c (Fall, 2008)
Oct 29 Polynomial Functions Homework: 4.6 #19, 23, 27, 33, 37, 39, 41, 53, 55 Polynomial functions define polynomial function, degree, zeros. We have studied linear functions and quadratic functions so far. Both linear and quadratic functions are spe...
UCSD >> MATH >> 4c (Fall, 2008)
Supplemental Homework for September 29, 2008 Simplify these expressions. 1 1 ! (1) x+h x x 2 y !3 ! y !3z!3 3x 2 (2) 3z 2 x !4 y 2 3z!2 xyz + yzx +1 (3) yzx + xyz Solve these equations. (4) 6 ! x ! 10 + 3x = 2 for x (5) x 2 + 7x + 10 = x + 2 + x ...
UCSD >> MATH >> 4c (Fall, 2008)
Nov 24 Finish Trig Equations; Sequences, Limits of Sequences, Limits of Functions at Infinity Homework: 13.3 #13, 15, 27, 49, 53 13.4 #3 13.5 #19, 21, 31 define numerical sequence. A numerical sequence is an ordered list of numbers. The sequence may ...
UCSD >> MATH >> 4c (Fall, 2008)
! ! Functions of Two Variables Definition of a function of two variables Until now, we have only considered functions of a single variable, y = f ( x ) . However, many real-world functions consist of two (or more) variables. E.g., the area function...
UCSD >> MATH >> 4c (Fall, 2008)
Sep 29 Rational Expressions, Solving Equations Homework: Supplement rational expressions HW1R #65, 67, 69, 73, 75, 77, 86 Review: a !b = 1 a b Rational expressions exponents. Evaluate 6r 3t 4 define rational expression. A rational expression is a po...
UCSD >> MATH >> 4c (Fall, 2008)
Oct 13 Graphs of Functions Homework: 2.2 #11, 17, 29, 31, 41 3.2 #7, 19, 21, 22, 47, 51, 57 Graphs of functions define graph of an explicit function, Vertical Line Test. The graph of a function y = f ( x ) is obtained by plotting the points ( a, f ( ...
UCSD >> MATH >> 4c (Fall, 2008)
Matrices define matrix We will use matrices to help us solve systems of equations. A matrix is a rectangular array of numbers enclosed in parentheses or brackets. In linear algebra, matrices are important because every matrix represents uniquely a li...
UCSD >> MATH >> 4c (Fall, 2008)
Oct 24 Max/Min Problems Homework: 4.5 #9, 11, 13, 15, 19, 21, 23, 28, 29, 49 Frequently, we are asked to minimize or maximize the value of a quadratic function. If we can find the vertex of the graph, then we know the maximum or minimum value. Theref...
UCSD >> MATH >> 4c (Fall, 2008)
Oct 1 Partial Fractions Homework: 12.7 #5, 7, 13, 17, 19, 21 12.8 #11, 29, 47 Partial fractions 3 2 . First find equivalent + 2x + 1 x ! 2 rational expressions for each addend with a common denominator. 3 2 partial fraction decomposition with single...
UCSD >> MATH >> 4c (Fall, 2008)
Vectors define vectors Some physical quantities, such as temperature, length, and mass, can be specified by a single number called a scalar. Other physical quantities, such as force and velocity, must be characterized by a nonnegative magnitude and a...
UCSD >> MATH >> 4c (Fall, 2008)
Dec 1 Rates of Change and Graphical Interpretations Homework: Supplement rates of change. Rates of change result when we study the relationship between two changing quantities. 1. Velocity is the rate of change of position with respect to time. 2. MP...
UCSD >> MATH >> 4c (Fall, 2008)
Nov 12 (4th hour) Complex Numbers Homework: 12.1 #9, 11, 23, 31, 35, 59, 61, 71, 73 Complex numbers underlie many topics in mathematics. We will use them to solve equations (particularly polynomial equations), use a geometric representation (in the c...
UCSD >> MATH >> 4c (Fall, 2008)
Oct 20 Linear Functions Homework: 2.3 #23, 31, 35, 37, 45, 51, 53, 61 4.1 #1, 5, 9, 11, 16, 23, 25, 31, 43, 49 Linear functions define linear function. A linear function is a function defined by a linear polynomial, f ( x ) = a1 x + a0 where a1, a0 c...
UCSD >> MATH >> 4c (Fall, 2008)
Oct 10 Functions, Quiz 1 Homework: 3.1 #5, 17, 31, 59, 61, 73, 74, 83, 85, 87, 89, 93, 101 3.1 Functions define function, value, domain, target, range, independent/dependent variables. Which of the following are functions? 1. y = x 2 2. x = y 2 9 3. ...
UCSD >> MATH >> 4c (Fall, 2008)
Oct 17 Inverse Functions, Quiz 2 Homework: 3.5 #13, 19, 21, 23, 25, 27, 29, 31, 33, 45, 49, 53, 55 Inverse functions define inverse relation. Sometimes we are interested in the inverse functional relationship, i.e., given a value of y, what is the va...
UCSD >> MATH >> 4c (Fall, 2008)
Oct 27 Power Functions Homework: Supplement Power functions. The formula for the area of a circle is A( r) = !r 2 , and Newton\'s formula for the weight of an object as a function of its distance from the center of the k Earth is W ( d ) = 2 = kd !2 ....
UCSD >> MATH >> 4c (Fall, 2008)
Extra Credit Solution Let a be the height of the ladder on the wall and b the distance of the base of the ladder from the wall. 11 The equation of the line (or ladder) through the point (1,1) is + = 1 or a + b = ab. ab 2 2 22 2 2 Squaring both sides,...
UCSD >> MATH >> 4c (Fall, 2008)
Oct 15 (4th hour) Homework: Combining Functions 3.4 #9, 15, 19, 23, 27, 31, 51, 56 Combining functions define and compute sum, difference, product, and quotient of two functions. Let f and g be two functions. Then the sum f + g, the difference f g...
UCSD >> MATH >> 4c (Fall, 2008)
Conic Sections (Conics) Conic sections are the curves formed when a plane intersects the surface of a right cylindrical double cone. An example of a double cone is the 3-dimensional graph of the equation 2 2 z = x + y 2 (or equivalently the two graph...
UCSD >> MATH >> 4c (Fall, 2008)
Final Exam Reference Sheet, Winter 2008 Distance between two points d = (x2 x1 )2 + (y2 y1 )2 Midpoint between two points x1 + x2 y1 + y2 , 2 2 Linear equations General Form: Slope-intercept form Point-slope form Double-intercept form Quadratic For...
UCSD >> MATH >> 4c (Fall, 2008)
Math 4C Winter 2008 Final Exam Study Guide Topics and Sample Problems Note: The R refers to the review section at the end of a chapter. The T refers to the test at the end of the chapter. 3.1 Functions 3.R.1, 5, 13, 47, 52; 3.T.17 determine domain, t...
UCSD >> MATH >> 4c (Fall, 2008)
Math 4C Fall 2007 Final Exam _(Name)_(PID) _(Section) Read each question carefully; answer each question completely. Show all work: no credit for unsupported answers. Attach additional sheets if necessary. No notes allowed; use reference sheet provid...
UCSD >> BISP >> 194 (Fall, 2008)
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UCSD >> BISP >> 194 (Fall, 2008)
BISP 194 Special Topics in Modern Biology Neural Prostheses Winter 2008 Overview and Introduction Gert Cauwenberghs gert@ucsd.edu BISP 194: Neural Prostheses Overview and Introduction Neural Prostheses (aka Neural Prosthetics aka Neuroprosthetic...
UCSD >> BISP >> 194 (Fall, 2008)
X-RAYS FROM LIGHTNING DATA MINING FOR GENETIC TREASURE Do-It-Yourself Black Holes: Physics Gets Ready MAY 2005 W W W.SCIAM.COM Neuromorphic Chips Differences in Male and Female Brains The Weird Warmth of Asteroids Stopping an Invisible Epidemic ...
UCSD >> CENG >> 100 (Winter, 2008)
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UCSD >> CENG >> 122 (Fall, 2008)
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UCSD >> CENG >> 100 (Winter, 2008)
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UCSD >> CENG >> 122 (Fall, 2008)
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UCSD >> CENG >> 100 (Winter, 2008)
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UCSD >> CENG >> 122 (Fall, 2008)
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UCSD >> CENG >> 100 (Winter, 2008)
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UCSD >> CENG >> 122 (Fall, 2008)
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UCSD >> CENG >> 100 (Winter, 2008)
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UCSD >> CENG >> 122 (Fall, 2008)
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UCSD >> CENG >> 100 (Winter, 2008)
Aspen Plus Workshop for Reaction Engineering and Design H. Scott Fogler sfogler@umich.edu Nihat M. Gurmen gurmen@umich.edu 3/12/2002 The University of Michigan Department of Chemical Engineering Ann Arbor, MI INTRODUCTION ..3 What is a Process Fl...
UCSD >> CENG >> 122 (Fall, 2008)
Aspen Plus Workshop for Reaction Engineering and Design H. Scott Fogler sfogler@umich.edu Nihat M. Gurmen gurmen@umich.edu 3/12/2002 The University of Michigan Department of Chemical Engineering Ann Arbor, MI INTRODUCTION ..3 What is a Process Fl...
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