Proximate analysis helps determine which types of municipal solid waste (MSW) are best for energy recovery. In Mbeya City, ...

This goal has been fully achieved for Lyapunov and Sylvester equation solvers, for which the codes for both real and complex data perform at practically same performance level as similar functions ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

Algebra can be demystified with the right approach. Transforming word problems into mathematical expressions is crucial, ...

The app can also solve equations that use more complex formulas, such as the trigonometric functions of sine, cosine and tangent. You need to include the equals sign (=) at the end of each ...

This strategy for differentiating instruction can help increase elementary and middle school students’ involvement in their ...

This important study presents a compelling theoretical framework for understanding phase separation of membrane-bound proteins, with a focus on the organization of tight junction components. By ...

Based in perturbation theory, their work involved computing millions of high-dimensional integrals, by translating the problem to solving linear equations on supercomputers. The team found that ...

The method is based on an approximation of a boundary integral equation as a set of linear algebraic equations. The potential is described as a piecewise linear or quadratic function. The matrix ...

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R ...

Arnold D, Polking J, Ordinary Differential Equations Using MATLAB, 2nd edn. Prentice Hall, Upper Saddle River, 1990. Google Scholar 35. Castillo-Chavez C, Song B, Dynamical models of tuberculosis and ...