PhysicsA. Rojo, arXiv preprint arXiv:1004.2914, 2010, quant-ph, 1-6.A. G. Rojo, “Matrix Exponential Solution of the Landau-Zener Problem.” arXiv:1004.2914v1 [quant-ph]A. G. Rojo, Matrix exponential solution of the Landau-Zener problem, arxiv:quant- ph/1004.2914 (2010)....
setting clear timelines, assigning responsibilities, and identifying the resources required for implementation. Also, involve stakeholders in the action plan's development to get their support for the solution's success.
Finding the minimum is a challenge for some algorithms because the function has a shallow minimum inside a deeply curved valley. The solution for this problem is not at the point [1,1] because that point does not satisfy the constraint. This figure shows two views of Rosenbrock's function ...
The polynomial eigenvalue problem is a variant of the standard eigenvalue problem,Ax= λx, but instead involves polynomials rather than linear terms. As with the standard eigenvalue problem, the solution involves finding the eigenvalues and eigenvectors that satisfy the equation, ...
Solution Problem 62 This problem was asked by Facebook. There is an N by M matrix of zeroes. Given N and M, write a function to count the number of ways of starting at the top-left corner and getting to the bottom-right corner. You can only move right or down. ...
The MAPF (Multi-Agent Path Finding) is the problem of computing collision-free paths for a team of agents from their current locations to a given destination. In this repo you can find the solution of the assignment given by Sven Koenig that is composed of 5 tasks. I used the repository...
Finding the ideal solution for high complexity optimization problems increases the cost (time, memory, etc.). The methods used in solving optimization problems are divided into two categories: deterministic and stochastic. Deterministic methods use gradient methods to reach the ideal solution. ...
The model provides a domain-general solution to the problem of solving problems and performs well in arbitrary planning tasks (such as the Tower of Hanoi) and decision-making problems involving multiple constraints34 (“Methods”). The GOLSA model works by representing each possible state of the ...
The high-quality initial population will accelerate the solution speed of the algorithm and improve the accuracy of the optimal solution. Thus, the elite backward learning strategy33 is introduced to generate the position matrix of the initial population. Suppose the elite individual of the population...
where D is the number of fragments in the solution. 4.1.2 Smith-Waterman algorithm This is a dynamic program [21] based Local Sequence Alignment algorithm. This algorithm contains three steps: (a) matrix initialization, (b) filling the matrix with the suitable scores, and (c) sequence backtr...