644.Maximum-Average-Subarray-II (H) 658.Find-K-Closest-Elements (H) 1095.Find-in-Mountain-Array (TBD) 1157.Online-Majority-Element-In-Subarray (H-) 1533.Find-the-Index-of-the-Large-Integer (M) 1712.Ways-to-Split
Mathematical morphology is a vibrant subject that finds typical applications in the area of image processing [9]. However, it has been extended to many other application areas, including three-dimensional geometry processing [10]. Broadly, the subject of mathematical morphology is composed of four ...
The apriori algorithm is a divide and conquer based unsupervised algorithm used in computer science. It is designed to find hidden patterns in large datasets by identifying frequently occurring item sets and creating rules based on those sets. ...
“Facebook’s goal is to make sure that you see posts from the people, interests, and ideas that you find valuable, whether that content comes from people you’re already connected to or from those you may not yet know,”the company says. To that end, there are three different types o...
It’s a common case that analysis is required for continuous values to find a correlation between different variables. Regression helps to look for this correlation and predict an output. This type of supervised algorithm is commonly used to predict the prices or value of certain objects based on...
and bounds, where the bounds are scaled by the current scale factor. (If the incumbent is infeasible,fminconignores the objective and attempts to find a point satisfying the constraints.) If the problem has both integer and nonlinear constraints, thensurrogateoptcallsTree Searchinstead offmincon. ...
In order to solve the inverse kinematics (IK) of complex manipulators efficiently, a hybrid equilibrium optimizer slime mould algorithm (EOSMA) is proposed. Firstly, the concentration update operator of the equilibrium optimizer is used to guide the anisotropic search of the slime mould algorithm to...
Algorithm selection is the task of choosing an algorithm from a given set of candidate algorithms when faced with a particular problem instance. Algorithm
You might find these chapters and articles relevant to this topic. Chapter Summary Publisher Summary A statistical or data mining algorithm is a mathematical expression of certain aspects of the patterns they find in data. Different algorithms provide different perspectives on the complete nature of th...
where,r1andr2is random numbers in the range [0, 1]; a is Convergence factor, which linearly decreases from 2 to 0 with an increasing number of iterations. $$a = 2 - \frac{2t}{{t_{\max } }}$$ (5) where,tis Current iteration number;Tis Maximum number of iterations. ...