PATENT CLAIM ANALYSIS

Application Number: 15927452
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["345", "174000"]

Abstract:
A computer system and method are proposed for solving physical problems governed by Poisson or Helmholtz equations. Values of at least one unknown physical quantity at points are determined using known values of at least one second physical quantity. The points are clustered into a hierarchical skeleton structure using a clustering algorithm based on distances between the points. Interactions between distant clusters are approximated, to give a system of equations which can be solved more efficiently.

Claim (Index 12):
The computer system of  claim 9  in which the determination further comprises a step, after step (b) and prior to step (c), of determining whether the compressed interaction matrix meets a criterion, and according to whether the determination is positive, performing said step (c) by a process comprising inverting the compressed interaction matrix, or determining the first physical quantity iteratively by repeatedly improving successive preliminary estimates of the first physical quantity at the discretization points using the result of a matrix multiplication of the compressed interaction matrix and the preliminary estimate of the first physical quantity at the discretization points.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 90.0
- Lexical Diversity: 1.39655
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['11731008', '10474508', '15002312', '14691044', '11393875']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5587766151596438
- 35 USC 102 Novelty (BERT): 0.4872380988343521
- Combined Prediction Score: 0.5516227635271146
- Mean Citation Score: 152.570298
- Max Citation Score: 156.30545
- Similarity Product: 105.24861580215396

Labels:
- Claim Label 101: 0
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test