One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

PDF from the official Rajasthan Board website (rajeduboard.rajasthan.gov.in). Access chapter-wise topics, course structure, ...

The utilization of both constrained and unconstrained-based optimization for solving constrained multi-objective optimization problems (CMOPs) has become prevalent among recently proposed constrained ...

Gradient descent algorithms are widely considered the primary choice for optimizing deep learning models. However, they often require adjusting various hyperparameters, like the learning rate, among ...

Our research interests lie in combinatorics, the study of random discrete structures and the analysis of randomized algorithms.

The main algorithms include those for computing characteristic sets and the zero decomposition algorithm by factorizing multivariate polynomials over the rational number field. We also give a brief ...

aims to advance and promote the theory and applications of discrete mathematics, encouraging contributions from graph theory, combinatorics, and discrete optimization.

MC 5501 Speaker Remi Abgrall | Institut für Mathematik & Computational Science Universität Zürich Title Virtual finite element and hyperbolic problems: the PAMPA algorithm Abstract In this talk, we ...