Gram-Schmidt Orthogonalization
Vector v₁ (space-separated)
Vector v₂
Vector v₃ (optional)
The Gram-Schmidt process converts a set of linearly independent vectors into an orthonormal basis — vectors that are mutually perpendicular and each have length 1. It is used in linear algebra, QR decomposition, and machine learning.
References
🔒
୧୦୦% ମାଗଣା
ପଞ୍ଜୀକରଣ ଆବଶ୍ୟକ ନାହିଁ
✓
ସଠିକ
ଯାଞ୍ଚ ହୋଇଥିବା ସୂତ୍ର
⚡
ତତ୍କ୍ଷଣ
ତତ୍କ୍ଷଣ ଫଳ
📱
ମୋବାଇଲ୍ ଅନୁକୂଳ
ସମସ୍ତ ଡିଭାଇସ୍