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

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 ...

Abstract: The use of GNSS technologies has been spreading over time up to a point in which a huge diversity of applications require their use. Due to this demand, GNSS has turned into a more reliable ...

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. David Kindness is a Certified Public Accountant (CPA) and an ...

This book presents the basic algorithms, the main theoretical results, and some applications of spectral methods. Particular attention is paid to the applications of spectral methods to nonlinear ...

Abstract: In a recent publication we have proposed a numerical model that describes the detection process of optical photons in superconducting nanowire single-photon detectors (SNSPD). Here, we ...

In addition, the subject also includes verification and software testing for these numerical methods. you´ll know some of the most common differential equations. you´ll have mastered the basic steps ...

Finite element methods for approximating partial differential equations that arise in science and engineering analysis find widespread application. Numerical analysis tools make the solutions of ...

It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

In the collaborative environment of the Penn State Institute for Computational and Data Sciences, John Harlim combines applied mathematics and data science to develop methods for more-accurate ...