1868.Product-of-Two-Run-Length-Encoded-Arrays (M+) 2098.Subsequence-of-Size-K-With-the-Largest-Even-Sum (M+) Binary Search 004.Median-of-Two-Sorted-Arrays (H) 153.Find-Minimum-in-Rotated-Sorted-Array (M+) 154.Find-Minimum-in-Rotated-Sorted-Array-II (H-) 033.Search-in-Rotated-...
In this paper, a new approach has been presented based on linear search algorithm technique to tune the parameters of the proportional, integral and derivative (PID) control for a twin rotor multi-input multi-output system (TRMS). Twin rotor MIMO system is a laboratory setup of helicopter mode...
You may need to provide CMake with the location to find the above.cmakefiles, e.g. $ cmake -DMTTracking_DIR=<location_of_cmake_files> .. If CMake succeeds at finding the package, you can use MTTracking in your project e.g. ...
Sparse regularized low-rank tensor regression with applications in genomic data analysis Pattern Recognit. (2020) C.Blumet al. Beam search for the longest common subsequence problem Comput. Oper. Res. (2009) A.Apostolicoet al. Fast linear-space computations of longest common subsequences ...
AverageDistance— Standard deviation (not average) of Distance Spread— Vector where the entries are the spread in each generation mIneq— Number of nonlinear inequality constraints mEq— Number of nonlinear equality constraints mAll— Total number of nonlinear constraints, mAll = mIneq + mEq C— ...
The imple- mentation example shows that the area-time product of the proposed 28th-order lowpass filter is about 2-17% smaller than those of the other local search algorithms. In addition, the other implementation example shows that the area-time product of the proposed 31st-order Hilbert ...
This paper proposes a primal decomposition algorithm for efficient computation of multistage scenario model predictive control, where the future evolution of uncertainty is represented by a scenario tree. This often results in large-scale optimization problems. Since the different scenarios are only coupled...
In 2022, Khan et al.10 proposed a non-deterministic meta-heuristic algorithm called Non-linear Activated Beetle Antennae Search (NABAS) for a non-convex tax-aware portfolio selection problem. Brajević et al.11 proposed a hybridization of the sine cosine algorithm (HSCA) in 2022 to solve ...
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While this algorithm makes finding the root of the equation easy and fast, its rate of convergence is slow, and some types of root finding algorithms cannot guarantee convergence. Two different root-finding algorithms, Newton’s approach and the bisection search, are proposed in these works. For...