2results about How to "Reduce computing energy consumption" patented technology

The application relates to a vehicle control method, device, vehicle and computer readable storage medium. The method comprises: determining a target input sequence based on image information and vehicle state information of a target vehicle during driving; the target input sequence comprises a visual token sequence; performing planning and prediction processing on the target input sequence by using a planning decision module to obtain initial driving information of the target vehicle; performing adversarial reasoning on the initial driving information and the visual token sequence by using a safety review module to obtain risk warning information of the target vehicle; and performing arbitration processing on the initial driving information and the risk warning information by using an arbitration module to obtain a control instruction of the target vehicle, so that the target vehicle drives according to the control instruction. The application can improve the path decision safety of a vehicle in a complex traffic scene during automatic driving.

The application relates to the technical field of computer data processing, and discloses a portfolio optimization method based on matrix decomposition technology and related equipment; the method comprises the following steps: obtaining portfolio data from an external memory or a local memory; the portfolio data comprises asset names of all assets in a portfolio and historical price data of a preset time period; based on the portfolio data, the average yield of the portfolio and a covariance matrix are calculated; the covariance matrix is subjected to eigenvalue decomposition to obtain a first matrix Q and a second matrix D; an auxiliary variable is constructed, a target function and a constraint condition are constructed based on the auxiliary variable; the target function and the constraint condition are input into an SQP algorithm for solving to obtain a solution of the auxiliary variable; and the weight distribution of each asset in the portfolio is calculated based on the solution of the auxiliary variable. The application can greatly improve the solving efficiency of the model, reduce the memory occupation, save the computer data processing time, and reduce the computer energy consumption.