long ans = fastPower(a * a % mod , b >> 1); if ((b & 1) == 1) { ans = ans * a % mod; } return ans; } 14 求大数是否可以整除小数 a. 代码 long mod = 0; for (int i = 0; i < chars.length; i++) { mod = (mod * 10 + (chars[i] - '0')) % m; } retu...
For example, Yu, Wang and Guo (2018) proposed convex optimisation for optimising processing capability and Newton algorithm for transmission power [131]. The authors of [152] proposed a deep reinforcement learning for resource allocation and adopt gradient descent to train the parameters. 7. Root ...
[x,fval] = gamultiobj(___), for any input variables, returns a matrix fval, the value of all the fitness functions defined in fun for all the solutions in x. fval has nf columns, where nf is the number of objectives, and has the same number of rows as x.[...
The most recent techniques use the radix-2 CORDIC algorithm to compute the root and power. The high computation latency of radix-2 CORDIC is the primary concern for the designers. Nth root and Nth power computations are divided into three phases, and each phase is performed by a different ...
Finding the ground state of a quantum many-body system is a fundamental problem in quantum physics. In this work, we give a classical machine learning (ML) algorithm for predicting ground state properties with an inductive bias encoding geometric localit
For MPPT, the position of each firefly is the duty cycle and the brightness is considered as a power generative. The principle operation of the FA has been presented by a flowchart in Fig. 16. Sign in to download full-size image Fig. 16. FA technique flowchart to track the MPP. ...
Hybrid Memory-Based Dragonfly Algorithm with Differential Evolution (DADE) is a hybrid of the dragonfly and differential evolution algorithms. Its search power is enhanced using the leap and crossover mechanism, and its convergent power is increased by being enabled with memory for utilizing the ...
Power plants using fossil fuels are the focus of the traditional OPF issue. Renewable energy sources (RESs) have proliferated over the last 20 years due to factors like rising demand, the urgent need to decrease the emissions of greenhouse gases, favorable pricing for RESs, and triggering and ...
Parameter 0 of line 20 is just the initial value for the reduction. 2. Once the number of bins is found, the sorted input data – treated as keys – are paired with a “value” vector implicitly generated by the anonymous thrust::constant_iterator of line 31. The thrust::constant_...
We propose a quantum inverse iteration algorithm, which can be used to estimate ground state properties of a programmable quantum device. The method relies on the inverse power iteration technique, where the sequential application of the Hamiltonian inve