Logarithmic/Exponential Functions TRIZ Cases
- Digital Temperature Compensation in Logarithmic TIAs
Digital sampling and processor-based correction remove analog temperature-compensation errors in logarithmic TIA current measurement.
- Multi-Head Posterior Evaluation of Pre-Trained Embedding Models
Posterior probabilities over clustered entity embeddings provide a faster way to compare pre-trained models without full downstream testing.
- Exponential Approximation Using Bit-Shift Taylor Factorials
Bit-shift factorial approximations cut exponential computation time and hardware size for neural network functions while preserving useful accuracy.
- Exponential Approximation Using Bit-Shift Taylor Factorials
Bit-shift factorial approximation cuts exponential computation time and hardware area for softmax while preserving neural network accuracy.
- Neural Processor Encoding with Fixed Exponents and Variable Mantissas
A mapping table, comparator, and shifter balance numeric range, computation speed, and memory use in neural parameter processing.
- Piecewise Function Evaluation via Lookup Table Segmentation
Segmented lookup tables minimize approximation errors while maintaining single-cycle computation efficiency for complex function evaluation.
- Unified Hardware Pipeline for Transcendental Functions
Shared lookup tables and interpolation logic in a single pipeline reduce gate count while maintaining precision for graphics processor chips.
- Unified Hardware Pipeline for Transcendental Function Computation
A unified hardware pipeline computes transcendental functions using shared data look-up tables and interpolation circuits.
- Risky Vertex Identification via Stacked Medium Networks
Constructing multiple medium networks from black seeds to determine final risk values for high-risk vertices.
- Datapath Circuit Segmentation for DSP Hard Functions
Segmenting the datapath between a MAC and a lookup table calculator resolves power consumption trade-offs while accelerating logarithm execution.
- Transistor Simulation Using Multi-Exponential NQS Modeling
A simulation method calculates transient charge density using superimposed exponential functions for accurate thin film transistor modeling.
- Exponential Function Calculation Processor for Sensor Applications
Iterative error refinement in a dedicated calculation processor delivers accurate exponential function results without requiring large memory look-up tables.
- Processor Execution Unit Taylor Series Logarithm Computation
Execution unit uses lookup tables and multiplier circuits to evaluate Taylor series expansions for logarithm mantissa generation.
- Parallel Invasion Percolation for Hydrocarbon Migration Simulation
A parallel-processing invasion percolation method partitions basin data across multiple computing nodes to accelerate hydrocarbon migration simulations.
- Unified Floating-Point Pipeline for RCP, SQRT, EXP, LOG Functions
A unified hardware pipeline computes reciprocal, square root, exponential, and logarithmic functions using shared quadratic approximations.