TODO

Open timqian opened this issue 9 years ago • 0 comments

[x] pointwise() Create a pointwise function
[ ] all() All the components of x are true
[ ] any() One or more of the components of x are true
[ ] ccsDim() Dimensions of sparse matrix
[ ] ccsDot() Sparse matrix-matrix product
[ ] ccsFull() Convert sparse to full
[ ] ccsGather() Gather entries of sparse matrix
[ ] ccsGetBlock() Get rows/columns of sparse matrix
[ ] ccsLUP() Compute LUP decomposition of sparse matrix
[ ] ccsLUPSolve() Solve Ax=b using LUP decomp
[ ] ccsScatter() Scatter entries of sparse matrix
[ ] ccsSparse() Convert from full to sparse
[ ] ccsTSolve() Solve upper/lower triangular system
[ ] ccs<op>() Supported ops include: add/div/mul/geq/etc...
[ ] cLU() Coordinate matrix LU decomposition
[ ] cLUsolve() Coordinate matrix LU solve
[ ] cdelsq() Coordinate matrix Laplacian
[ ] cdotMV() Coordinate matrix-vector product
[ ] cgrid() Coordinate grid for cdelsq
[x] det() Determinant
[ ] diveq() Pointwise x/=y
[ ] dopri() Numerical integration of ODE using Dormand-Prince RK method. Returns an object Dopri.
[ ] Dopri.at() Evaluate the ODE solution at a point
[ ] dot() Matrix-Matrix, Matrix-Vector and Vector-Matrix product
[ ] eig() Eigenvalues and eigenvectors
[ ] epsilon() 2.220446049250313e-16
[ ] getBlock() Extract a block from a matrix
[x] getDiag() Get the diagonal of a matrix
[x] identity() Identity matrix
[ ] imageURL() Encode a matrix as an image URL
[x] inv() Matrix inverse
[ ] largeArray() Don't prettyPrint Arrays larger than this
[ ] LU() Dense LU decomposition
[ ] LUsolve() Dense LU solve
[ ] mapreduce() Make a pointwise map-reduce function
[ ] norm2() Square root of the sum of the square of the entries of x
[ ] norm2Squared() Sum of squares of entries of x
[ ] norminf() Largest modulus entry of x
[ ] parseCSV() Parse a CSV file into an Array
[ ] parseDate() Pointwise parseDate(x)
[ ] parseFloat() Pointwise parseFloat(x)
[ ] precision() Number of digits to prettyPrint
[ ] prettyPrint() Pretty-prints x
[ ] random() Create an Array of random numbers
[ ] rep() Create an Array by duplicating values
[ ] same() x and y are entrywise identical
[ ] seedrandom() The seedrandom module
[ ] setBlock() Set a block of a matrix
[ ] solve() Solve Ax=b
[ ] solveLP() Solve a linear programming problem
[ ] solveQP() Solve a quadratic programming problem
[ ] spline() Create a Spline object
[ ] Spline.at() Evaluate the Spline at a point
[ ] Spline.diff() Differentiate the Spline
[ ] Spline.roots() Find all the roots of the Spline
[ ] subeq() Pointwise x-=y
[ ] sum() Sum all the entries of x
[ ] svd() Singular value decomposition
[ ] t() Create a tensor type T (may be complex-valued)
[ ] T.<numericfun>() Supported are: abs, add, cos, diag, div, dot, exp, getBlock, getDiag, inv, log, mul, neg, norm2, setBlock, sin, sub, transpose
[ ] T.conj() Pointwise complex conjugate
[ ] T.fft() Fast Fourier transform
[ ] T.get() Read an entry
[ ] T.getRow() Get a row
[ ] T.getRows() Get a range of rows
[ ] T.ifft() Inverse FFT
[ ] T.reciprocal() Pointwise 1/z
[ ] T.set() Set an entry
[ ] T.setRow() Set a row
[ ] T.setRows() Set a range of rows
[ ] T.transjugate() The conjugate-transpose of a matrix
[ ] tensor() Tensor product ret[i][j] = x[i]*y[j]
[ ] toCSV() Make a CSV file
[x] transpose() Matrix transpose
[ ] uncmin() Unconstrained optimization
[ ] version() Version string for the numeric library

Pointwise functions

[x] clone() Deep copy of Array
[x] abs() Absolute value
[x] acos() Arc-cosine
[x] add() Pointwise sum x+y
[x] and() Pointwise x && y
[x] asin() Arc-sine
[x] atan() Arc-tangeant
[x] atan2() Arc-tangeant (two parameters)
[x] band() Pointwise x & y
[x] bnot() Binary negation ~x
[x] bor() Binary or x|y
[x] bxor() Binary xor x^y
[x] ceil() Pointwise Math.ceil(x)
[x] cos() Pointwise Math.cos(x)
[x] diag() Create diagonal matrix
[x] dim() Get Array dimensions
[x] div() Pointwise x/y
[x] eq() Pointwise comparison x === y
[x] exp() Pointwise Math.exp(x)
[x] floor() Poinwise Math.floor(x)
[x] geq() Pointwise x>=y
[x] gt() Pointwise x>y
[x] leq() Pointwise x<=y
[x] linspace() Generate evenly spaced values
[x] log() Pointwise Math.log(x)
[x] lshift() Pointwise x<<y
[x] lt() Pointwise x<y
[x] mod() Pointwise x%y
[x] mul() Pointwise x*y
[x] neg() Pointwise -x
[x] neq() Pointwise x!==y
[x] not() Pointwise logical negation !x
[x] or() Pointwise logical or x||y
[x] pow() Pointwise Math.pow(x)
[x] round() Pointwise Math.round(x)
[x] rrshift() Pointwise x>>>y
[x] rshift() Pointwise x>>y
[x] rshifteq() Pointwise x>>=y
[x] sin() Pointwise Math.sin(x)
[x] sqrt() Pointwise Math.sqrt(x)
[x] sub() Pointwise x-y
[x] tan() Pointwise Math.tan(x)
[x] xor() Pointwise x^y

Jul 17 '16 05:07 timqian