This is the second volume of the two-volume book on linear algebra in the University of Tokyo (UTokyo) Engineering Course. The objective of this second volume is to branch out from the standard ...

Linear Algebra : Referred mostly from MIT OCW 18.06, Prof. Gilbert Strang. Probability & Random Variables : Referred mostly from MIT OCW 6.041, Prof. John Tsitsiklis.

This repo contains the solved exercises from the Coursera Linear Algebra course as a part of the 'Mathematics for Machine Learning' specialization offered by Imperial ...

Taken concurrently with EGR/MAT/PHY 191. An integrated course that covers the material of PHY 103 and MAT 201 with the emphasis on applications to engineering. Math topics include: vector calculus; ...

This course aims to develop your knowledge in the mathematics topics of linear algebra and calculus, which provides the basic mathematics foundation that is necessary for anyone pursuing a computing ...

Analysis and application of numerical methods for solving large systems of linear equations, which often represent the bottleneck when computing solutions to equations arising in fluid mechanics, ...

The Applied Mathematics Program is open to those students who have earned a B.S. degree in engineering, science, or mathematics, provided that the student has completed a program in undergraduate ...

Understanding and implementation of algorithms to calculate matrix decompositions such as eigenvalue/vector, LU, QR, and SVD decompositions. Applications include data-fitting, image analysis, and ...