Test Apparatus for Device Optimization Using Lookup Tables
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Solution Overview
Problem
Current optimization methods for device settings are computationally complex, time-consuming, and prone to local minima, making them inefficient for finding optimal settings in multivariate optimization problems.
Innovation Solution
A test apparatus and method that stores and processes input and output data to determine the best combination of setting variables using an optimization vector, directly deriving optimal settings from a database by quantizing variables and weighting test cases based on optimization targets, thereby avoiding the derivation of complex functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If classification or regression algorithms are used to calculate best setting variables, then optimization results can be obtained, but the computational complexity increases and time consumption increases
Solution Approach 1:
The patent pre-calculates and stores optimization results in a lookup table during a calibration phase. When optimization is needed, the system simply queries the pre-computed table rather than performing complex calculations in real-time. This preliminary action eliminates the need for time-consuming computational algorithms during actual optimization operations.
Solution Approach 2:
The patent creates a simplified copy of the optimization problem by storing pre-computed relationships between input variables and best setting variables in a lookup table. Instead of solving the complex optimization problem repeatedly, the system copies the essential optimization information into an easily queryable data structure that provides fast access to optimal settings.
2Measurement precision
If iterative optimization methods are used to find best device settings, then optimization can be performed, but the process becomes computationally complex and time-consuming
Solution Approach 1:
The patent performs the complex iterative optimization process in advance during a calibration phase, storing the results in a lookup table. This preliminary computation eliminates the need for complex iterative algorithms during actual device operation, reducing computational complexity to simple table queries while maintaining optimization accuracy.
Solution Approach 2:
The patent replaces expensive, complex computational algorithms with a simple, inexpensive lookup table approach. The lookup table acts as a disposable pre-computed resource that provides fast, simple access to optimization results without requiring complex computational resources during actual use.
3Measurement precision
If classification algorithms are used to derive best setting variables, then optimization can be achieved, but the algorithms are computationally complex and very time consuming
Solution Approach 1:
The patent pre-computes the optimization results using classification algorithms during a calibration phase and stores them in a lookup table. This preliminary action shifts the computational burden to an offline phase, enabling fast online queries that dramatically improve optimization speed while maintaining result quality.
Solution Approach 2:
The patent creates a simplified copy of the complex optimization relationships in the form of a lookup table. This copy contains pre-computed best setting variables for various input conditions, allowing fast retrieval without repeating the complex classification algorithm computations, thereby improving productivity.
Data Source
AI summary
A test apparatus for performing a test on a device under test includes a data storage unit being configured to store sets of input data applied to the device under test during the test and to store the respective output data of the device under test, the output data being obtained from the device under test as a response to the input data including values of setting variables related to settings of the device under test and values of input variables including further information, each set of input data representing one test case; and a data processor configured to process the data stored in the data storage unit such that a best combination of setting variables of the device under test is determined for one or more combinations of the input variables to obtain an optimized setting of the device under test for the one or more combinations of the input variables.