Optimally rotated vectors
2003 ◽
Vol 2003
(63)
◽
pp. 4015-4023
◽
Keyword(s):
We study vectors which undergo maximum or minimum rotation by a matrix on the field of real numbers. The cosine of the angle between a maximally rotated vector and its image under the matrix is called the cosine or antieigenvalue of the matrix and has important applications in numerical methods. Using Lagrange multiplier technique, we obtain systems of nonlinear equations which represent these optimization problems. Furthermore, we solve these systems symbolically and numerically.
2020 ◽
2016 ◽
Vol 80
◽
pp. 2231-2235
◽
2014 ◽
Vol 35
(1)
◽
pp. 269-284
◽
Keyword(s):
2020 ◽
Vol 367
◽
pp. 112470
◽
Keyword(s):
2017 ◽
Vol 318
◽
pp. 3-13
◽
Keyword(s):
Shamanskii-Like Levenberg-Marquardt Method with a New Line Search for Systems of Nonlinear Equations
2020 ◽
Vol 33
(5)
◽
pp. 1694-1707
Keyword(s):