on the theory of knots, on lattices, on quadratic forms and on Galois cohomology. Along with Raman Parimala, she proved Serre's conjecture II regarding the Galois cohomology of a simply-connected semisimple algebraic group when such a group is of classical type. Birthplace: Budapest, Hungary ...
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to ...
Problemnumber20isTheFermatEquation Theintegersolutionofequationx2-dy2=1,wheredisa non-quadraticpositiveinteger. Question21.TheFermatGaussImpossibilityTheorem Thesumoftwocubicmeterscannotbecountedasonecubic meter. Question22QuadraticReciprocityLawTheQuadratic ReciprocityLaw (euler-lededegausstheorem)theinversesymbol...
100个著名的初等数学难题(100famousproblemsofElementary Mathematics) 发信人:bangbangbear(美人如玉剑如虹),信区:Intelligence 标题:100个著名的初等数学难题 发信站:自由空间(2003年04月30日16:44:17星期三),站内 信件 发信人:drly(大可可&大人夹),信区:iqdoor 标题:100个历史上最有名的初等数学难题 发信...
He made significant contributions to nonlinear and stochastic programming, numerical techniques for non-smooth optimization, discrete optimization problems, matrix optimization, dual quadratic bounds in multi-extremal programming problems. Shor became a full member of the National Academy of Science of ...
No there are a lot of parameters that can give you best score. You’ll sometimes hear about people instead using the squared hinge loss SVM (or L2-SVM). that penalizes violated margins more strongly (quadratically instead of linearly). The unsquared version is more standard, but in some ...
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to ...
No there are a lot of parameters that can give you best score. You’ll sometimes hear about people instead using the squared hinge loss SVM (or L2-SVM). that penalizes violated margins more strongly (quadratically instead of linearly). The unsquared version is more standard, but in some ...
No there are a lot of parameters that can give you best score. You’ll sometimes hear about people instead using the squared hinge loss SVM (or L2-SVM). that penalizes violated margins more strongly (quadratically instead of linearly). The unsquared version is more standard, but in some ...