Numerical Methods and Algorithms
Numerical Methods and Algorithms is a research topic within Computational Theory and Mathematics. Science Explorer counts 18k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the theory, implementation, and optimization of floating-point arithmetic for scientific computation. It covers topics such as interval analysis, high-precision computation, hardware implementation on FPGAs, numerical verification methods, decimal floating-point arithmetic, accuracy optimization, Taylor models, and handling interval uncertainty.
- Floating-Point Arithmetic
- Interval Analysis
- High-Precision Computation
- Hardware Implementation
- Numerical Verification Methods
- FPGA Acceleration
- Decimal Floating-Point
- Accuracy-Guaranteed Bit-Width Optimization
- Taylor Models
- Interval Uncertainty
- Research works
- 18k fractional, since 1950
- In the world top 10%
- 1.8k per year above
- Top-10% rate
- 10.0% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +10% the tick is no change
- Largest producer
China
23% of the 10 largest, 2022-now
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