http://numericjs.com/documentation.html
| 方法 | 描述 |
|---|---|
| abs | Absolute value |
| acos | Arc-cosine |
| add | Pointwise sum x+y |
| addeq | Pointwise sum x+=y |
| all | All the components of x are true |
| and | Pointwise x && y |
| andeq | Pointwise x &= y |
| any | One or more of the components of x are true |
| asin | Arc-sine |
| atan | Arc-tangeant |
| atan2 | Arc-tangeant (two parameters) |
| band | Pointwise x & y |
| bench | Benchmarking routine |
| bnot | Binary negation ~x |
| bor | Binary or x |
| bxor | Binary xor x^y |
| 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 | 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 |
| ceil | Pointwise Math.ceil(x) |
| cgrid | Coordinate grid for cdelsq |
| clone | Deep copy of Array |
| cos | Pointwise Math.cos(x) |
| det | Determinant |
| diag | Create diagonal matrix |
| dim | Get Array dimensions |
| div | Pointwise x/y |
| 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 |
| 方法 | 描述 |
|---|---|
| dot | 点乘，矩阵与向量相乘不需要先把向量转置 |
| eig | 特征值m.lambda.x和特征向量m.E.x |
| epsilon | 2.220446049250313e-16 |
| eq | Pointwise comparison x === y |
| exp | Pointwise Math.exp(x) |
| floor | Poinwise Math.floor(x) |
| geq | Pointwise x>=y |
| getBlock | Extract a block from a matrix |
| getDiag | Get the diagonal of a matrix |
| gt | Pointwise x>y |
| identity | Identity matrix |
| imageURL | Encode a matrix as an image URL |
| inv | Matrix inverse |
| isFinite | Pointwise isFinite(x) |
| isNaN | Pointwise isNaN(x) |
| largeArray | Don’t prettyPrint Arrays larger than this |
| leq | Pointwise x<=y |
| linspace | Generate evenly spaced values |
| log | Pointwise Math.log(x) |
| lshift | Pointwise x< |
| lshifteq | Pointwise x<<=y |
| lt | Pointwise x |
| LU | Dense LU decomposition |
| LUsolve | Dense LU solve |
| mapreduce | Make a pointwise map-reduce function |
| mod | Pointwise x%y |
| modeq | Pointwise x%=y |
| mul | Pointwise x*y |
| neg | Pointwise -x |
| neq | Pointwise x!==y |
| 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 |
| not | Pointwise logical negation !x |
| or | Pointwise logical or x |
| oreq | Pointwise x |
| parseCSV | Parse a CSV file into an Array |
| parseDate | Pointwise parseDate(x) |
| parseFloat | Pointwise parseFloat(x) |
| pointwise | Create a pointwise function |
| pow | Pointwise Math.pow(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 |
| 方法 | 描述 |
|---|---|
| round | Pointwise Math.round(x) |
| rrshift | Pointwise x>>>y |
| rrshifteq | Pointwise x>>>=y |
| rshift | Pointwise x>>y |
| rshifteq | Pointwise x>>=y |
| same | x and y are entrywise identical |
| seedrandom | The seedrandom module |
| setBlock | Set a block of a matrix |
| sin | Pointwise Math.sin(x) |
| 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 |
| sqrt | Pointwise Math.sqrt(x) |
| sub | Pointwise x-y |
| 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. | 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 |
| tan | Pointwise Math.tan(x) |
| tensor | Tensor product ret[i][j] = x[i]*y[j] |
| toCSV | Make a CSV file |
| transpose | Matrix transpose |
| uncmin | Unconstrained optimization |
| version | Version string for the numeric library |
| xor | Pointwise x^y |
| xoreq | Pointwise x^=y |