Plea for a semidefinite optimization solver in complex numbers
... This paper is not at such a high level of generality but demonstrates that a semidefinite optimization (SDO) problem, naturally or possibly defined in complex numbers, should most often also be solved by an SDO solver in complex numbers, if computing time prevails. We are even more specific, since ...
... This paper is not at such a high level of generality but demonstrates that a semidefinite optimization (SDO) problem, naturally or possibly defined in complex numbers, should most often also be solved by an SDO solver in complex numbers, if computing time prevails. We are even more specific, since ...
Matlin, Cognition, 7e, Chapter 11: Problem Solving and Creativity
... situated-cognition approach—our ability to solve a problem is tied into the specific context in which we learned to solve that problem abstract intelligence or aptitude tests often fail to measure real-life problem solving ...
... situated-cognition approach—our ability to solve a problem is tied into the specific context in which we learned to solve that problem abstract intelligence or aptitude tests often fail to measure real-life problem solving ...
Fast Molecular Shape Matching Using Contact Maps
... Contact-map overlap measures the similarity between two proteins (in the lattice model) based on the pairwise distances of the Cα −atoms of each protein. ...
... Contact-map overlap measures the similarity between two proteins (in the lattice model) based on the pairwise distances of the Cα −atoms of each protein. ...
Timing Optimization During the Physical Synthesis of
... overall timing optimization. The main limitation of all such techniques results exactly from their net-bynet approach, which may lead to locally-optimal solutions, as highlighted in [Yu et al. 2015]. The very limited availability of wide and thick wires may lead to poor timing optimization when an i ...
... overall timing optimization. The main limitation of all such techniques results exactly from their net-bynet approach, which may lead to locally-optimal solutions, as highlighted in [Yu et al. 2015]. The very limited availability of wide and thick wires may lead to poor timing optimization when an i ...
Thomas L. Magnanti and Georgia Perakis
... 1. The Method of Centers of Gravity (Levin [14J, 1968). 2. The Ellipsoid Algorithm (Khatchiyan [11], 1979). 3. The Method of Inscribed Ellipsoids (Khatchiyan, Tarasov, Erlikh [121, 1988). 4. Vaidya's algorithm (Vaidya [291, 1989). Motivated by the celebrity of these geometric algorithms for solving ...
... 1. The Method of Centers of Gravity (Levin [14J, 1968). 2. The Ellipsoid Algorithm (Khatchiyan [11], 1979). 3. The Method of Inscribed Ellipsoids (Khatchiyan, Tarasov, Erlikh [121, 1988). 4. Vaidya's algorithm (Vaidya [291, 1989). Motivated by the celebrity of these geometric algorithms for solving ...
Equations Cards
... problems using equations with a letter standing for the unknown quantity. Assess the reasonableness of answers using mental computation and estimation strategies including rounding. ...
... problems using equations with a letter standing for the unknown quantity. Assess the reasonableness of answers using mental computation and estimation strategies including rounding. ...
1 Gambler`s Ruin Problem
... 1. Ellen bought a share of stock for $10, and it is believed that the stock price moves (day by day) as a simple random walk with p = 0.55. What is the probability that Ellen’s stock reaches the high value of $15 before the low value of $5? SOLUTION We want “the probability that the stock goes up by ...
... 1. Ellen bought a share of stock for $10, and it is believed that the stock price moves (day by day) as a simple random walk with p = 0.55. What is the probability that Ellen’s stock reaches the high value of $15 before the low value of $5? SOLUTION We want “the probability that the stock goes up by ...
Thursday, September 05, 1996
... - Just because one ilium seems anterior and the obturator appears smaller the opposite PI ilium - this does not mean that either one is subluxated - On the X-ray and in the marking system we list the one we find subluxated on the patient - another thing we look at is where the edema is - the book sa ...
... - Just because one ilium seems anterior and the obturator appears smaller the opposite PI ilium - this does not mean that either one is subluxated - On the X-ray and in the marking system we list the one we find subluxated on the patient - another thing we look at is where the edema is - the book sa ...
Intermediate Logic - Dickinson College
... course, you must work through these very carefully. Each meeting I will collect your solutions to a specific subset of Problems and Exercises from the relevant chapter, specified in the Schedule below. You may type these or write them by hand. If you write them by hand, please make them perfectly le ...
... course, you must work through these very carefully. Each meeting I will collect your solutions to a specific subset of Problems and Exercises from the relevant chapter, specified in the Schedule below. You may type these or write them by hand. If you write them by hand, please make them perfectly le ...
... the solution quality since the cost of the dual function is a lower bound on the cost of the primal problem 29. It is seen that LR methods give better solutions than the metaheuristic approaches mentioned above due to both duration time and feasible solution 24–32. The LR, PF, and ALPF methods w ...
TAKA_10v1_public-key cryptosystems bsed on CR
... Random-self-reducible In the domain of f, an arbitrary worst-case instance x is mapped to a random set of instances y1,…,yk. f(x) can be computed in polynomial time, and then f(y1),…,f(yk) are taking the average with respect to the induced distribution on yi. The average case complexity of f ...
... Random-self-reducible In the domain of f, an arbitrary worst-case instance x is mapped to a random set of instances y1,…,yk. f(x) can be computed in polynomial time, and then f(y1),…,f(yk) are taking the average with respect to the induced distribution on yi. The average case complexity of f ...
Quantile Regression for Large-scale Applications
... variable and observed covariates, and it is more appropriate in certain non-Gaussian settings. For these reasons, quantile regression has found applications in many areas (Buchinsky, 1994; Koenker & Hallock, 2001; Buhai, 2005). As with `1 regression, the quantile regression problem can be formulated ...
... variable and observed covariates, and it is more appropriate in certain non-Gaussian settings. For these reasons, quantile regression has found applications in many areas (Buchinsky, 1994; Koenker & Hallock, 2001; Buhai, 2005). As with `1 regression, the quantile regression problem can be formulated ...
A min max problem
... (LP (X(3))), (LP ( X ( 4 ) ) ) , . . . , till a problem (LP (X(k))) is reached which has nonzero finite optimal value z (X (k+l)) of the objective function, where X (i) is an optimal basic feasible solution of (LP (X (i-1))). Thus, case (i) is reached and X (k+l) is an optimal solution of (P). The p ...
... (LP (X(3))), (LP ( X ( 4 ) ) ) , . . . , till a problem (LP (X(k))) is reached which has nonzero finite optimal value z (X (k+l)) of the objective function, where X (i) is an optimal basic feasible solution of (LP (X (i-1))). Thus, case (i) is reached and X (k+l) is an optimal solution of (P). The p ...
Parallel Prefix
... Figure 3.2: The Parallel Prefix Exclude Algorithm. An example using the vector [1, 2, 3, 4, 5, 6, 7, 8] is shown in Figure 3.1. Going up the tree, we simply compute the pairwise sums. Going down the tree, we use the updates according to points 2 and 3 above. For even position, we use the value of th ...
... Figure 3.2: The Parallel Prefix Exclude Algorithm. An example using the vector [1, 2, 3, 4, 5, 6, 7, 8] is shown in Figure 3.1. Going up the tree, we simply compute the pairwise sums. Going down the tree, we use the updates according to points 2 and 3 above. For even position, we use the value of th ...
Counting Inversions, Offline Orthogonal Range Counting, and Related Problems Timothy M. Chan
... rank aggregation in large Internet-related applications. History. Counting inversions in O(n lg n) time (e.g., by mergesort) is a textbook problem. For a faster solution, one can reduce to offline dominance counting in two dimensions: given a set of n points, how many other points does each point do ...
... rank aggregation in large Internet-related applications. History. Counting inversions in O(n lg n) time (e.g., by mergesort) is a textbook problem. For a faster solution, one can reduce to offline dominance counting in two dimensions: given a set of n points, how many other points does each point do ...