18170735. DISCONTINUITY MODELING OF COMPUTING FUNCTIONS simplified abstract (ADOBE INC.)

DISCONTINUITY MODELING OF COMPUTING FUNCTIONS

Organization Name

ADOBE INC.

Inventor(s)

Connelly Stuart Barnes of Seattle WA (US)

Yuting Yang of Princeton NJ (US)

Adam Finkelstein of Princeton NJ (US)

Andrew Bensley Adams of Lafayette CA (US)

DISCONTINUITY MODELING OF COMPUTING FUNCTIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18170735 titled 'DISCONTINUITY MODELING OF COMPUTING FUNCTIONS

The abstract describes techniques for modeling discontinuities in computing functions of a program.

• Data modeling system identifies an axis and generates samples along the axis based on the program output.
• Samples are used to create a data model that includes gradients and a 1D box kernel to model the discontinuity.

• • Key Features and Innovation:**

• Data modeling system generates samples along an axis to model program discontinuities.
• Data model includes gradients and a 1D box kernel for accurate representation.

• • Potential Applications:**

• Software development for programs with discontinuous functions.
• Data analysis in systems with abrupt changes in output.

• • Problems Solved:**

• Efficient modeling of discontinuities in computing functions.
• Accurate representation of abrupt changes in program output.

• • Benefits:**

• Improved understanding of program behavior.
• Enhanced data modeling accuracy.

• • Commercial Applications:**

• This technology can be used in industries such as finance, engineering, and data science for accurate modeling of discontinuous functions.

• • Questions about Discontinuity Modeling:**

1. How does the data modeling system identify the axis for generating samples?

  - The data modeling system identifies the axis based on the program output to ensure accurate representation of the discontinuity.

2. What are the benefits of using a 1D box kernel in modeling the discontinuity?

  - The 1D box kernel helps in accurately modeling the discontinuity by capturing the abrupt changes in the program output.

Original Abstract Submitted

Discontinuity modeling techniques of computing functions of a program are described. In one example, a program has a computing function that includes a discontinuity. An input is received by the data modeling system that identifies an axis. A plurality of samples is then generated by the data modeling system along the axis based on an output of the program. The samples are then used as a basis by the data modeling system to generate a data model that models the discontinuity. The data model includes, in one example, one or more gradients and models the discontinuity using a 1D box kernel.