JSTOR Daily

Encrypted Objects and Decryption Processes: Problem-Solving with Functions in a Learning Environment Based on Cryptography

This paper introduces an applied problem-solving task, set in the context of cryptography and embedded in a network of computer-based tools. This designed learning environment engaged students in a ...
GitHub

DC-PINNs: Physics-Informed Neural Networks for Solving Derivative-Constrained PDEs

There was an error while loading. Please reload this page. Hoshisashi, K., Phelan, C. E., & Barucca, P. "Physics-Informed Neural Networks for Derivative-Constrained ...
JSTOR Daily

Derivative Superconvergent Points in Finite Element Solutions of Harmonic Functions: A Theoretical Justification

Mathematics of Computation, Vol. 71, No. 240 (Oct., 2002), pp. 1421-1430 (10 pages) Finite element derivative superconvergent points for harmonic functions under local rectangular mesh are ...
IEEE

Zhang Neural Network Models and Tables Summarized and Compared for Different Time-Dependent Problems Solving in Addition to DDD (Direct Derivative Dynamics) Method

Abstract: Zhang neural network (ZNN, also called zeroing neural network) is considered as an effective method to solve time-dependent problems (i.e., time-varying problems). Different continuous-time ...
IEEE

IFSE: Taming Closed-Box Functions in Symbolic Execution via Fuzz Solving

Abstract: Modern symbolic execution techniques face the challenge of handling closed-box (CB) functions (e.g., system calls, library functions) whose source code is unavailable. One interesting ...