TiengAnhTrongDaisotuyentinh

Embed Size (px)

Citation preview

  • 8/3/2019 TiengAnhTrongDaisotuyentinh

    1/3

    gip cc em tm hiu cc cu lnh ca matlab dng trong i s tuyn tnh cng nh vit code cc thut ton, Thy tng hp li cc khi nim ca i stuyn tnh bng ting Anh.Khi tm kim trn mng google.com chng hn, cc em s dng ting Anh th thu c kt qu tt hn. Hu nh tt c cc thut ton ca i s tuyn tnhu c th tm trn mng. V d cc em mun tm thut ton phn tch QR th ch cn vo google.com tra t QR algorithm matlab hoc QR decompositionmatlab.

    STT thut ngting vit Tn ting Anh1 i s tuyn tnh linear algebra2 s phc complex numbers3 dng i s algebraic form4 dng lng gic trigonometric form

    5 ly tha bc n nth

    power6 cn bc n nth root7 ma trn matrix8 ma trn khng zero matrix9 ma trn n v identity matrix10 ma trn dng bc thang echelon form, rref = row reduced echelon form11 ma trn cho diagonal matrix12 ma trn vung square matrix13 ma trn tam gic trn upper triangular matrix14 ma trn tam gic di lower triangular matrix15 ma trn chuyn v transpose of the matrix16 ma trn i xng symmetric matrix17 ma trn trc giao orthogonal matrix18 ma trn xc nh dng positive definite matrix19 nh thc determinant

    20 b i s ca phn t a_ij cofactor of the element a_ij21 hng ca ma trn rank of the matrix22 ma trn nghch o the inverse of the matrix23 ma trn h s ca h AX =b coefficient matrix24 ma trn mrng (A|b) augmented matrix25 h phng trnh tuyn tnh system of linear equations, linear system26 h thun nht homogenuous system27 h cramer cramers system28 phng php kh Gauss Gaussian elimination29 khng gian vcto vector space

  • 8/3/2019 TiengAnhTrongDaisotuyentinh

    2/3

    30 c lp tuyn tnh linear independent set31 ph thuc tuyn tnh linear dependent set32 t hp tuyn tnh linear combination33 tp sinh ca khng gian vcto spanning set for a vector space34 csca khng gian vcto basis for a vector space35 s chiu ca khng gian vcto dimension of a vector space36 khng gian con subspace

    37 khng gian nghim ca h AX=b null space of A38 ta ca vcto trong csE coordinates of a vector with respect to the basis39 ma trn chuyn cst E sang F the change of bases from E to F.40 giao ca hai khng gian con intersection of two subspaces

    41 Tng ca hai khng gian con sum of two subspaces42 tch v hng ca hai vcto inner product, scalar product43 khng gian euclid Euclidean space

    44 di ca vcto norm of a vector45 khong cch gia hai vcto distance of two vectors46 gc gia hai vcto angle between two vectors47 b vung gc ca khng gian con orthogonal complement of a subspace48 hnh chiu vung gc ca vcto xung khng gian con orthogonal projection of a vector onto subspace49 khong cch t vecto n khng gian con distance from the vecto v to the subspace50 qu trnh trc giao ha gram-schmidt the gram schmidt process51 phn tch LU ca ma trn A LU factorization52 phn tch QR ca ma trn A QR factorization53 nh x tuyn tnh linear mapping, linear transformation54 nhn ca nh x tuyn tnh kernel of a linear mapping55 nh ca nh x tuyn tnh image of a linear mapping

    56 ma trn ca nh x t/tnh trong csE, F matrix of a linear mapping with respect to two bases E and F57 tr ring eigenvalue58 vcto ring eigenvector

    59 khng gian con ring eigenspace

    60 bi i s algebraic multiplicity61 bi hnh hc geometric multiplicity62 cho ho diagonalize, diagonalization

    63 cho ha trc giao orthogonal diagonalization64 dng ton phng quadratic form

  • 8/3/2019 TiengAnhTrongDaisotuyentinh

    3/3

    65 dng chnh tc canonic form, canonical form66 ma trn ca dng ton phng matrix of a quadratic form67 xc nh m negative definite68 na xc nh dng semi positive definite69 na xc nh m semi negative definite70 khng xc nh du indefinite