18368717. OPTIMIZATION METHOD AND INFORMATION PROCESSING APPARATUS simplified abstract (Hitachi, Ltd.)

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OPTIMIZATION METHOD AND INFORMATION PROCESSING APPARATUS

Organization Name

Hitachi, Ltd.

Inventor(s)

Yusuke Sugita of Tokyo (JP)

Nobuo Beniyama of Tokyo (JP)

Masanao Yamaoka of Tokyo (JP)

OPTIMIZATION METHOD AND INFORMATION PROCESSING APPARATUS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18368717 titled 'OPTIMIZATION METHOD AND INFORMATION PROCESSING APPARATUS

Simplified Explanation: The patent application describes a method for efficiently solving a quadratic programming problem with k-hot constraints for binary variables using an information processing apparatus.

  • The invention involves solving quadratic programming problems with k-hot constraints for binary variables.
  • The information processing apparatus relaxes binary variables into continuous values by adding correction values to nonlinear coefficients.
  • The solution search is executed while satisfying the k-hot constraints through state transitions to maintain a constant sum of continuous variables.

Key Features and Innovation:

  • Efficiently solves quadratic programming problems with k-hot constraints for binary variables.
  • Utilizes an information processing apparatus to relax binary variables into continuous values.
  • Executes a solution search while satisfying k-hot constraints through state transitions.

Potential Applications: The technology can be applied in various fields such as finance, engineering, logistics, and operations research for optimization problems with binary variables.

Problems Solved: The technology addresses the challenge of efficiently solving quadratic programming problems with k-hot constraints for binary variables.

Benefits:

  • Improved efficiency in solving optimization problems with binary variables.
  • Enhanced accuracy in satisfying k-hot constraints.
  • Potential cost savings and time efficiency in various industries.

Commercial Applications: Optimization software companies can integrate this technology into their products to offer more efficient solutions for quadratic programming problems with k-hot constraints.

Prior Art: Readers can explore prior research on quadratic programming, k-hot constraints, and optimization algorithms in academic journals and patent databases.

Frequently Updated Research: Stay updated on advancements in quadratic programming algorithms, optimization techniques, and applications in various industries.

Questions about Quadratic Programming with k-hot Constraints: 1. How does the technology of relaxing binary variables into continuous values improve the solution search process? 2. What are the potential real-world applications of solving quadratic programming problems with k-hot constraints efficiently?


Original Abstract Submitted

An object is to efficiently solve a quadratic programming problem having a k-hot constraint (k is a positive integer) for binary variables. A preferred aspect of the invention is an optimization method for, using an information processing apparatus, solving a quadratic programming problem in which one or more independent k-hot constraints are imposed on binary variables, the information processing apparatus including a processor, a storage device, an input device, and an output device. The information processing apparatus relaxes the binary variables into continuous values by adding correction values to a nonlinear coefficients of the binary variables on which the k-hot constraints are imposed, and the information processing apparatus executes a solution search while satisfying the k-hot constraints by executing a state transition such that a sum of a set of continuous variables on which the k-hot constraint is imposed is constant.