Functions are one of the most fundamental concepts in mathematics, forming the foundation for topics in algebra, calculus and many other areas. A solid understanding of the basics of functions, ...

A pilot version of the compiler MIRFAC, now in the operation, is described. The chief features of the system, which is intended for the solution of scientific problems, are the presentation of ...

LaTeX files for the Deep Learning book notation These are the files we used to define the style of the Deep Learning textbook (www.deeplearningbook.org) as well as the .tex file for the notation page.

Complex math functions, such as exponential and tanh, are widely applied in machine learning inference tasks like recurrent neural networks (RNNs). Even though a few works have provided secure ...

This curriculum module contains interactive MATLAB® live scripts and apps that teach transfer function analysis of dynamic systems.

IIT Guwahati has released the GATE 2026 Syllabus for Computer Science & Information Technology (CS&IT) along with the ...

The nature of light is explored. PHYS 3810 - Mathematical Methods in Physics - Emphasizes special topics in mathematics related to advanced physics. Topics include vector and tensor calculus, ...

About this issue Abstract This study explored the strategies used by 13 prospective secondary school mathematics teachers to develop and validate functions as mathematical models of real-world ...

Robots gain new function: Algorithm automatically recognizes sensors and their mathematical modeling by Universität Klagenfurt ...

Memristive devices promise an alternative approach toward non-Von Neumann architectures, where specific computational tasks are performed within the memory devices. In the machine learning (ML) domain ...

The work, begun in 1927 under the direction of Mr. H. T. Davis with the assistance of twenty colleagues, aims at collecting and amplifying the tables of higher mathematical functions which are ...

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