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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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