Exploring Pascal`s Triangle
... Note that the strategy still works, but we have to be careful since even while we’re working on the part where we find all triples that start with A, we still have to find all the pairs that can follow. Note that this has, in a sense, been solved in the previous example, since if you know you’re beg ...
... Note that the strategy still works, but we have to be careful since even while we’re working on the part where we find all triples that start with A, we still have to find all the pairs that can follow. Note that this has, in a sense, been solved in the previous example, since if you know you’re beg ...
Numerical Solution of the Hamilton-Jacobi
... of this approach compared to power-law or exponential utility maximization is that the results can be easily interpreted in terms of an efficient frontier. The objective of this paper is to develop a numerical method for solving the continuous time mean variance optimal asset allocation problem. We ...
... of this approach compared to power-law or exponential utility maximization is that the results can be easily interpreted in terms of an efficient frontier. The objective of this paper is to develop a numerical method for solving the continuous time mean variance optimal asset allocation problem. We ...
Areas of Parallelograms and Triangles
... 17. Describe one way that finding the area of rhombus or a kite is different from finding the area of a trapezoid. Answers may vary. Sample: Instead of using the height and the _______________________________________________________________________ lengths of the bases, you use the lengths of the di ...
... 17. Describe one way that finding the area of rhombus or a kite is different from finding the area of a trapezoid. Answers may vary. Sample: Instead of using the height and the _______________________________________________________________________ lengths of the bases, you use the lengths of the di ...
Unconstrained Nonlinear Optimization, Constrained Nonlinear
... Generally hard to do. We will cover methods that allow to find a local minimum of this optimization problem. Note: iteratively applying LQR is one way to solve this problem if there were no constraints on the control inputs and state ...
... Generally hard to do. We will cover methods that allow to find a local minimum of this optimization problem. Note: iteratively applying LQR is one way to solve this problem if there were no constraints on the control inputs and state ...
Weber problem
In geometry, the Weber problem, named after Alfred Weber, is one of the most famous problems in location theory. It requires finding a point in the plane that minimizes the sum of the transportation costs from this point to n destination points, where different destination points are associated with different costs per unit distance.The Weber problem generalizes the geometric median, which assumes transportation costs per unit distance are the same for all destination points, and the problem of computing the Fermat point, the geometric median of three points. For this reason it is sometimes called the Fermat–Weber problem, although the same name has also been used for the unweighted geometric median problem. The Weber problem is in turn generalized by the attraction–repulsion problem, which allows some of the costs to be negative, so that greater distance from some points is better.